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HBR’s Most-Read Research Articles of 2021

• Dagny Dukach

A look back at the insights that resonated most with our readers.

What will it take to make work better? Over the past year, HBR has published a wide array of research-backed articles that explore topics ranging from retaining employees to overcoming meeting overload to fostering gender equity in the workplace. In this end-of-year roundup, we share key insights and trends from our most-read research articles of 2021.

As the workplace rapidly transforms in the wake of the pandemic, social movements, and more, a fundamental question remains: How can we ensure we’re making work better — for employees, organizations, and society at large?

• Dagny Dukach is a former associate editor at Harvard Business Review.

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Despite the pandemic’s disruptions, MIT’s research community still found a way to generate a number of impressive research breakthroughs in 2021. In the spirit of reflection that comes with every new orbit around the sun, below we count down 10 of the most-viewed research stories on MIT News from the past year.

We’ve also rounded up the year’s top MIT community-related stories .

10. Giving cancer treatment a recharge . In October, researchers discovered a way to jump-start the immune system to attack tumors. The method combines chemotherapy and immunotherapy to spur immune cells into action. The researchers hope it could allow immunotherapy to be used against more types of cancer.

9. Generating 3D holograms in real-time . Computer scientists developed a deep-learning-based system that allows computers to create holograms almost instantly. The system could be used to create holograms for virtual reality, 3D printing, medical imaging, and more — and it’s efficient enough to run on a smartphone.

8. Creating inhalable vaccines . Scientists at the Koch Institute developed a method for delivering vaccines directly to the lungs through inhalation. The new strategy induced a strong immune response in the lungs of mice and could offer a quicker response to viruses that infect hosts through mucosal surfaces.

7. Assessing Covid-19 transmission risk . Two MIT professors proposed a new approach to estimating the risks of exposure to Covid-19 in different indoor settings. The guidelines suggest a limit for exposure based on factors such as the size of the space, the number of people, the kinds of activity, whether masks are worn, and ventilation and filtration rates.

6. Teaching machine learning models to adapt . Researchers in CSAIL developed a new type of neural network that can change its underlying equations to continuously adapt to new data. The advance could improve models’ decision-making based on data that changes over time, such as in medical diagnosis and autonomous driving.

5. Programming fibers . In June, a team created the first fabric fiber with digital capabilities. The fibers can sense, store, analyze, and infer data and activity after being sewn into a shirt. The researchers say the fibers could be used to monitor physical performance, to detect diseases, and for a variety of medical purposes.

4. Examining the limitations of data visualizations . A collaboration between anthropologists and computer scientists found that coronavirus skeptics have used sophisticated data visualizations to argue against public health orthodoxy like wearing a mask. The researchers concluded that data visualizations aren’t sufficient to convey the urgency of the Covid-19 pandemic because even the clearest graphs can be interpreted through a variety of belief systems.

3. Developing a Covid-detecting face mask . Engineers at MIT and Harvard University designed a prototype face mask that can diagnose the person wearing the mask with Covid-19 in about 90 minutes. The masks are embedded with tiny, disposable sensors that can be fitted into other face masks and could also be adapted to detect other viruses.

2. Confirming Hawking’s black hole theorem . Using observations of gravitational waves, physicists from MIT and elsewhere confirmed a major theorem created by Stephen Hawking in 1971. The theorem states that the area of a black hole’s event horizon — the boundary beyond which nothing can ever escape — will never shrink.

1. Advancing toward fusion energy . In September, researchers at MIT and the MIT spinout Commonwealth Fusion Systems ramped up a high-temperature superconducting electromagnet to a field strength of 20 tesla, the most powerful magnetic field of its kind ever created on Earth. The demonstration was three years in the making and is believed to resolve one of greatest remaining points of uncertainty in the quest to build the world’s first fusion power plant that produces more energy than it consumes.

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Materials Advances

Nanomaterials: a review of synthesis methods, properties, recent progress, and challenges.

* Corresponding authors

a Center of Research Excellence in Desalination & Water Treatment, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia E-mail: [email protected] , [email protected]

b Center for Environment and Water, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia

c Interdisciplinary Research Center for Membranes and Water Security, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia

d Department of Chemical & Biological Engineering, University of Alabama, Tuscaloosa, Alabama 35487-0203, USA E-mail: [email protected] , [email protected]

e Department of Mechanical Engineering, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia

Nanomaterials have emerged as an amazing class of materials that consists of a broad spectrum of examples with at least one dimension in the range of 1 to 100 nm. Exceptionally high surface areas can be achieved through the rational design of nanomaterials. Nanomaterials can be produced with outstanding magnetic, electrical, optical, mechanical, and catalytic properties that are substantially different from their bulk counterparts. The nanomaterial properties can be tuned as desired via precisely controlling the size, shape, synthesis conditions, and appropriate functionalization. This review discusses a brief history of nanomaterials and their use throughout history to trigger advances in nanotechnology development. In particular, we describe and define various terms relating to nanomaterials. Various nanomaterial synthesis methods, including top-down and bottom-up approaches, are discussed. The unique features of nanomaterials are highlighted throughout the review. This review describes advances in nanomaterials, specifically fullerenes, carbon nanotubes, graphene, carbon quantum dots, nanodiamonds, carbon nanohorns, nanoporous materials, core–shell nanoparticles, silicene, antimonene, MXenes, 2D MOF nanosheets, boron nitride nanosheets, layered double hydroxides, and metal-based nanomaterials. Finally, we conclude by discussing challenges and future perspectives relating to nanomaterials.

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N. Baig, I. Kammakakam and W. Falath, Mater. Adv. , 2021,  2 , 1821 DOI: 10.1039/D0MA00807A

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The 10 Most Significant Education Studies of 2021

From reframing our notion of “good” schools to mining the magic of expert teachers, here’s a curated list of must-read research from 2021.

It was a year of unprecedented hardship for teachers and school leaders. We pored through hundreds of studies to see if we could follow the trail of exactly what happened: The research revealed a complex portrait of a grueling year during which persistent issues of burnout and mental and physical health impacted millions of educators. Meanwhile, many of the old debates continued: Does paper beat digital? Is project-based learning as effective as direct instruction? How do you define what a “good” school is?

Other studies grabbed our attention, and in a few cases, made headlines. Researchers from the University of Chicago and Columbia University turned artificial intelligence loose on some 1,130 award-winning children’s books in search of invisible patterns of bias. (Spoiler alert: They found some.) Another study revealed why many parents are reluctant to support social and emotional learning in schools—and provided hints about how educators can flip the script.

1. What Parents Fear About SEL (and How to Change Their Minds)

When researchers at the Fordham Institute asked parents to rank phrases associated with social and emotional learning , nothing seemed to add up. The term “social-emotional learning” was very unpopular; parents wanted to steer their kids clear of it. But when the researchers added a simple clause, forming a new phrase—”social-emotional & academic learning”—the program shot all the way up to No. 2 in the rankings.

What gives?

Parents were picking up subtle cues in the list of SEL-related terms that irked or worried them, the researchers suggest. Phrases like “soft skills” and “growth mindset” felt “nebulous” and devoid of academic content. For some, the language felt suspiciously like “code for liberal indoctrination.”

But the study suggests that parents might need the simplest of reassurances to break through the political noise. Removing the jargon, focusing on productive phrases like “life skills,” and relentlessly connecting SEL to academic progress puts parents at ease—and seems to save social and emotional learning in the process.

2. The Secret Management Techniques of Expert Teachers

In the hands of experienced teachers, classroom management can seem almost invisible: Subtle techniques are quietly at work behind the scenes, with students falling into orderly routines and engaging in rigorous academic tasks almost as if by magic. 

That’s no accident, according to new research . While outbursts are inevitable in school settings, expert teachers seed their classrooms with proactive, relationship-building strategies that often prevent misbehavior before it erupts. They also approach discipline more holistically than their less-experienced counterparts, consistently reframing misbehavior in the broader context of how lessons can be more engaging, or how clearly they communicate expectations.

Focusing on the underlying dynamics of classroom behavior—and not on surface-level disruptions—means that expert teachers often look the other way at all the right times, too. Rather than rise to the bait of a minor breach in etiquette, a common mistake of new teachers, they tend to play the long game, asking questions about the origins of misbehavior, deftly navigating the terrain between discipline and student autonomy, and opting to confront misconduct privately when possible.

3. The Surprising Power of Pretesting

Asking students to take a practice test before they’ve even encountered the material may seem like a waste of time—after all, they’d just be guessing.

But new research concludes that the approach, called pretesting, is actually more effective than other typical study strategies. Surprisingly, pretesting even beat out taking practice tests after learning the material, a proven strategy endorsed by cognitive scientists and educators alike. In the study, students who took a practice test before learning the material outperformed their peers who studied more traditionally by 49 percent on a follow-up test, while outperforming students who took practice tests after studying the material by 27 percent.

The researchers hypothesize that the “generation of errors” was a key to the strategy’s success, spurring student curiosity and priming them to “search for the correct answers” when they finally explored the new material—and adding grist to a 2018 study that found that making educated guesses helped students connect background knowledge to new material.

Learning is more durable when students do the hard work of correcting misconceptions, the research suggests, reminding us yet again that being wrong is an important milestone on the road to being right.

4. Confronting an Old Myth About Immigrant Students

Immigrant students are sometimes portrayed as a costly expense to the education system, but new research is systematically dismantling that myth.

In a 2021 study , researchers analyzed over 1.3 million academic and birth records for students in Florida communities, and concluded that the presence of immigrant students actually has “a positive effect on the academic achievement of U.S.-born students,” raising test scores as the size of the immigrant school population increases. The benefits were especially powerful for low-income students.

While immigrants initially “face challenges in assimilation that may require additional school resources,” the researchers concluded, hard work and resilience may allow them to excel and thus “positively affect exposed U.S.-born students’ attitudes and behavior.” But according to teacher Larry Ferlazzo, the improvements might stem from the fact that having English language learners in classes improves pedagogy , pushing teachers to consider “issues like prior knowledge, scaffolding, and maximizing accessibility.”

5. A Fuller Picture of What a ‘Good’ School Is

It’s time to rethink our definition of what a “good school” is, researchers assert in a study published in late 2020.⁣ That’s because typical measures of school quality like test scores often provide an incomplete and misleading picture, the researchers found.

The study looked at over 150,000 ninth-grade students who attended Chicago public schools and concluded that emphasizing the social and emotional dimensions of learning—relationship-building, a sense of belonging, and resilience, for example—improves high school graduation and college matriculation rates for both high- and low-income students, beating out schools that focus primarily on improving test scores.⁣

“Schools that promote socio-emotional development actually have a really big positive impact on kids,” said lead researcher C. Kirabo Jackson in an interview with Edutopia . “And these impacts are particularly large for vulnerable student populations who don’t tend to do very well in the education system.”

The findings reinforce the importance of a holistic approach to measuring student progress, and are a reminder that schools—and teachers—can influence students in ways that are difficult to measure, and may only materialize well into the future.⁣

6. Teaching Is Learning

One of the best ways to learn a concept is to teach it to someone else. But do you actually have to step into the shoes of a teacher, or does the mere expectation of teaching do the trick?

In a 2021 study , researchers split students into two groups and gave them each a science passage about the Doppler effect—a phenomenon associated with sound and light waves that explains the gradual change in tone and pitch as a car races off into the distance, for example. One group studied the text as preparation for a test; the other was told that they’d be teaching the material to another student.

The researchers never carried out the second half of the activity—students read the passages but never taught the lesson. All of the participants were then tested on their factual recall of the Doppler effect, and their ability to draw deeper conclusions from the reading.

The upshot? Students who prepared to teach outperformed their counterparts in both duration and depth of learning, scoring 9 percent higher on factual recall a week after the lessons concluded, and 24 percent higher on their ability to make inferences. The research suggests that asking students to prepare to teach something—or encouraging them to think “could I teach this to someone else?”—can significantly alter their learning trajectories.

7. A Disturbing Strain of Bias in Kids’ Books

Some of the most popular and well-regarded children’s books—Caldecott and Newbery honorees among them—persistently depict Black, Asian, and Hispanic characters with lighter skin, according to new research .

Using artificial intelligence, researchers combed through 1,130 children’s books written in the last century, comparing two sets of diverse children’s books—one a collection of popular books that garnered major literary awards, the other favored by identity-based awards. The software analyzed data on skin tone, race, age, and gender.

Among the findings: While more characters with darker skin color begin to appear over time, the most popular books—those most frequently checked out of libraries and lining classroom bookshelves—continue to depict people of color in lighter skin tones. More insidiously, when adult characters are “moral or upstanding,” their skin color tends to appear lighter, the study’s lead author, Anjali Aduki,  told The 74 , with some books converting “Martin Luther King Jr.’s chocolate complexion to a light brown or beige.” Female characters, meanwhile, are often seen but not heard.

Cultural representations are a reflection of our values, the researchers conclude: “Inequality in representation, therefore, constitutes an explicit statement of inequality of value.”

8. The Never-Ending ‘Paper Versus Digital’ War

The argument goes like this: Digital screens turn reading into a cold and impersonal task; they’re good for information foraging, and not much more. “Real” books, meanwhile, have a heft and “tactility”  that make them intimate, enchanting—and irreplaceable.

But researchers have often found weak or equivocal evidence for the superiority of reading on paper. While a recent study concluded that paper books yielded better comprehension than e-books when many of the digital tools had been removed, the effect sizes were small. A 2021 meta-analysis further muddies the water: When digital and paper books are “mostly similar,” kids comprehend the print version more readily—but when enhancements like motion and sound “target the story content,” e-books generally have the edge.

Nostalgia is a force that every new technology must eventually confront. There’s plenty of evidence that writing with pen and paper encodes learning more deeply than typing. But new digital book formats come preloaded with powerful tools that allow readers to annotate, look up words, answer embedded questions, and share their thinking with other readers.

We may not be ready to admit it, but these are precisely the kinds of activities that drive deeper engagement, enhance comprehension, and leave us with a lasting memory of what we’ve read. The future of e-reading, despite the naysayers, remains promising.

9. New Research Makes a Powerful Case for PBL

Many classrooms today still look like they did 100 years ago, when students were preparing for factory jobs. But the world’s moved on: Modern careers demand a more sophisticated set of skills—collaboration, advanced problem-solving, and creativity, for example—and those can be difficult to teach in classrooms that rarely give students the time and space to develop those competencies.

Project-based learning (PBL) would seem like an ideal solution. But critics say PBL places too much responsibility on novice learners, ignoring the evidence about the effectiveness of direct instruction and ultimately undermining subject fluency. Advocates counter that student-centered learning and direct instruction can and should coexist in classrooms.

Now two new large-scale studies —encompassing over 6,000 students in 114 diverse schools across the nation—provide evidence that a well-structured, project-based approach boosts learning for a wide range of students.

In the studies, which were funded by Lucas Education Research, a sister division of Edutopia , elementary and high school students engaged in challenging projects that had them designing water systems for local farms, or creating toys using simple household objects to learn about gravity, friction, and force. Subsequent testing revealed notable learning gains—well above those experienced by students in traditional classrooms—and those gains seemed to raise all boats, persisting across socioeconomic class, race, and reading levels.

10. Tracking a Tumultuous Year for Teachers

The Covid-19 pandemic cast a long shadow over the lives of educators in 2021, according to a year’s worth of research.

The average teacher’s workload suddenly “spiked last spring,” wrote the Center for Reinventing Public Education in its January 2021 report, and then—in defiance of the laws of motion—simply never let up. By the fall, a RAND study recorded an astonishing shift in work habits: 24 percent of teachers reported that they were working 56 hours or more per week, compared to 5 percent pre-pandemic.

The vaccine was the promised land, but when it arrived nothing seemed to change. In an April 2021 survey  conducted four months after the first vaccine was administered in New York City, 92 percent of teachers said their jobs were more stressful than prior to the pandemic, up from 81 percent in an earlier survey.

It wasn’t just the length of the work days; a close look at the research reveals that the school system’s failure to adjust expectations was ruinous. It seemed to start with the obligations of hybrid teaching, which surfaced in Edutopia ’s coverage of overseas school reopenings. In June 2020, well before many U.S. schools reopened, we reported that hybrid teaching was an emerging problem internationally, and warned that if the “model is to work well for any period of time,” schools must “recognize and seek to reduce the workload for teachers.” Almost eight months later, a 2021 RAND study identified hybrid teaching as a primary source of teacher stress in the U.S., easily outpacing factors like the health of a high-risk loved one.

New and ever-increasing demands for tech solutions put teachers on a knife’s edge. In several important 2021 studies, researchers concluded that teachers were being pushed to adopt new technology without the “resources and equipment necessary for its correct didactic use.” Consequently, they were spending more than 20 hours a week adapting lessons for online use, and experiencing an unprecedented erosion of the boundaries between their work and home lives, leading to an unsustainable “always on” mentality. When it seemed like nothing more could be piled on—when all of the lights were blinking red—the federal government restarted standardized testing .

Change will be hard; many of the pathologies that exist in the system now predate the pandemic. But creating strict school policies that separate work from rest, eliminating the adoption of new tech tools without proper supports, distributing surveys regularly to gauge teacher well-being, and above all listening to educators to identify and confront emerging problems might be a good place to start, if the research can be believed.

2021: A Year Full of Amazing AI papers - A Review

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code.

Louis Bouchard

While the world is still recovering, research hasn't slowed its frenetic pace, especially in the field of artificial intelligence. More, many important aspects were highlighted this year, like the ethical aspects, important biases, governance, transparency and much more. Artificial intelligence and our understanding of the human brain and its link to AI are constantly evolving, showing promising applications improving our life's quality in the near future. Still, we ought to be careful with which technology we choose to apply.

"Science cannot tell us what we ought to do, only what we can do." - Jean-Paul Sartre, Being and Nothingness

Here are the most interesting research papers of the year, in case you missed any of them. In short, it is curated list of the latest breakthroughs in AI and Data Science by release date with a clear video explanation, link to a more in-depth article, and code (if applicable). Enjoy the read!

The complete reference to each paper is listed at the end of this repository.

Subscribe to my newsletter - The latest updates in AI explained every week.

Feel free to message me any interesting paper I may have missed to add to this repository.

Tag me on Twitter @Whats_AI or LinkedIn @Louis (What's AI) Bouchard if you share the list!

Missed last year? Check this out: 2020: A Year Full of Amazing AI papers- A Review

👀 If you'd like to support my work and use W&B (for free) to track your ML experiments and make your work reproducible or collaborate with a team, you can try it out by following this guide ! Since most of the code here is PyTorch-based, we thought that a QuickStart guide for using W&B on PyTorch would be most interesting to share.

👉Follow this quick guide , use the same W&B lines in your code or any of the repos below, and have all your experiments automatically tracked in your w&b account! It doesn't take more than 5 minutes to set up and will change your life as it did for me! Here's a more advanced guide for using Hyperparameter Sweeps if interested :)

🙌 Thank you to Weights & Biases for sponsoring this repository and the work I've been doing, and thanks to any of you using this link and trying W&B!

Access the complete list in a GitHub repository

Watch a complete 2021 rewind in 15 minutes

Table of content

Dall·e: zero-shot text-to-image generation from openai [1], vogue: try-on by stylegan interpolation optimization [2], taming transformers for high-resolution image synthesis [3], thinking fast and slow in ai [4], automatic detection and quantification of floating marine macro-litter in aerial images [5], sharf: shape-conditioned radiance fields from a single view [6], generative adversarial transformers [7], we asked artificial intelligence to create dating profiles. would you swipe right [8], swin transformer: hierarchical vision transformer using shifted windows [9], image gans meet differentiable rendering for inverse graphics and interpretable 3d neural rendering [10], deep nets: what have they ever done for vision [11], infinite nature: perpetual view generation of natural scenes from a single image [12], portable, self-contained neuroprosthetic hand with deep learning-based finger control [13], total relighting: learning to relight portraits for background replacement [14], lasr: learning articulated shape reconstruction from a monocular video [15], enhancing photorealism enhancement [16], defakehop: a light-weight high-performance deepfake detector [17], high-resolution photorealistic image translation in real-time: a laplacian pyramid translation network [18], barbershop: gan-based image compositing using segmentation masks [19], textstylebrush: transfer of text aesthetics from a single example [20], animating pictures with eulerian motion fields [21], cvpr 2021 best paper award: giraffe - controllable image generation [22], github copilot & codex: evaluating large language models trained on code [23], apple: recognizing people in photos through private on-device machine learning [24], image synthesis and editing with stochastic differential equations [25], sketch your own gan [26], tesla's autopilot explained [27], styleclip: text-driven manipulation of stylegan imagery [28], timelens: event-based video frame interpolation [29], diverse generation from a single video made possible [30], skillful precipitation nowcasting using deep generative models of radar [31], the cocktail fork problem: three-stem audio separation for real-world soundtracks [32], adop: approximate differentiable one-pixel point rendering [33], (style)clipdraw: coupling content and style in text-to-drawing synthesis [34], swinir: image restoration using swin transformer [35], editgan: high-precision semantic image editing [36], citynerf: building nerf at city scale [37], clipcap: clip prefix for image captioning [38], paper references.

OpenAI successfully trained a network able to generate images from text captions. It is very similar to GPT-3 and Image GPT and produces amazing results.

• Short Video Explanation:

• Short read:

• Paper: Zero-Shot Text-to-Image Generation
• Code: Code & more information for the discrete VAE used for DALL·E

Google used a modified StyleGAN2 architecture to create an online fitting room where you can automatically try-on any pants or shirts you want using only an image of yourself.

• Paper: VOGUE: Try-On by StyleGAN Interpolation Optimization

Tl;DR: They combined the efficiency of GANs and convolutional approaches with the expressivity of transformers to produce a powerful and time-efficient method for semantically-guided high-quality image synthesis.

• Paper: Taming Transformers for High-Resolution Image Synthesis
• Code: Taming Transformers

Drawing inspiration from Human Capabilities Towards a more general and trustworthy AI & 10 Questions for the AI Research Community.

• Paper: Thinking Fast And Slow in AI

Odei Garcia-Garin et al. from the University of Barcelona have developed a deep learning-based algorithm able to detect and quantify floating garbage from aerial images. They also made a web-oriented application allowing users to identify these garbages, called floating marine macro-litter, or FMML, within images of the sea surface.

• Paper: Automatic detection and quantification of floating marine macro-litter in aerial images: Introducing a novel deep learning approach connected to a web application in R, Environmental Pollution
• Click here for the code

Just imagine how cool it would be to just take a picture of an object and have it in 3D to insert in the movie or video game you are creating or in a 3D scene for an illustration.

• Paper: ShaRF: Shape-conditioned Radiance Fields from a Single View

They basically leverage transformers’ attention mechanism in the powerful StyleGAN2 architecture to make it even more powerful!

• Paper: Generative Adversarial Transformers

Subscribe to my weekly newsletter and stay up-to-date with new publications in AI for 2022!

Would you swipe right on an AI profile? Can you distinguish an actual human from a machine? This is what this study reveals using AI-made-up people on dating apps.

• Paper: We Asked Artificial Intelligence to Create Dating Profiles. Would You Swipe Right?

Will Transformers Replace CNNs in Computer Vision? In less than 5 minutes, you will know how the transformer architecture can be applied to computer vision with a new paper called the Swin Transformer.

• Paper: Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

This promising model called GANverse3D only needs an image to create a 3D figure that can be customized and animated!

• Paper: IMAGE GANS MEET DIFFERENTIABLE RENDERING FOR INVERSE GRAPHICS AND INTERPRETABLE 3D NEURAL RENDERING

"I will openly share everything about deep nets for vision applications, their successes, and the limitations we have to address."

• Paper: Deep nets: What have they ever done for vision?

The next step for view synthesis: Perpetual View Generation, where the goal is to take an image to fly into it and explore the landscape!

• Paper: Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image

With this AI-powered nerve interface, the amputee can control a neuroprosthetic hand with life-like dexterity and intuitiveness.

• Paper: Portable, Self-Contained Neuroprosthetic Hand with Deep Learning-Based Finger Control

Properly relight any portrait based on the lighting of the new background you add. Have you ever wanted to change the background of a picture but have it look realistic? If you’ve already tried that, you already know that it isn’t simple. You can’t just take a picture of yourself in your home and change the background for a beach. It just looks bad and not realistic. Anyone will just say “that’s photoshopped” in a second. For movies and professional videos, you need the perfect lighting and artists to reproduce a high-quality image, and that’s super expensive. There’s no way you can do that with your own pictures. Or can you?

• Paper: Total Relighting: Learning to Relight Portraits for Background Replacement

Generate 3D models of humans or animals moving from only a short video as input. This is a new method for generating 3D models of humans or animals moving from only a short video as input. Indeed, it actually understands that this is an odd shape, that it can move, but still needs to stay attached as this is still one "object" and not just many objects together...

• Paper: LASR: Learning Articulated Shape Reconstruction from a Monocular Video

This AI can be applied live to the video game and transform every frame to look much more natural. The researchers from Intel Labs just published this paper called Enhancing Photorealism Enhancement. And if you think that this may be "just another GAN," taking a picture of the video game as an input and changing it following the style of the natural world, let me change your mind. They worked on this model for two years to make it extremely robust. It can be applied live to the video game and transform every frame to look much more natural. Just imagine the possibilities where you can put a lot less effort into the game graphic, make it super stable and complete, then improve the style using this model...

• Paper: Enhancing Photorealism Enhancement

How to Spot a Deep Fake in 2021. Breakthrough US Army technology using artificial intelligence to find deepfakes.

While they seem like they’ve always been there, the very first realistic deepfake didn’t appear until 2017. It went from the first-ever resembling fake images automatically generated to today’s identical copy of someone on videos, with sound.

The reality is that we cannot see the difference between a real video or picture and a deepfake anymore. How can we tell what’s real from what isn’t? How can audio files or video files be used in court as proof if an AI can entirely generate them? Well, this new paper may provide answers to these questions. And the answer here may again be the use of artificial intelligence. The saying “I’ll believe it when I’ll see it” may soon change for “I’ll believe it when the AI tells me to believe it…”

• Paper: DefakeHop: A Light-Weight High-Performance Deepfake Detector

Apply any style to your 4K image in real-time using this new machine learning-based approach!

• Paper: High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network

This article is not about a new technology in itself. Instead, it is about a new and exciting application of GANs. Indeed, you saw the title, and it wasn’t clickbait. This AI can transfer your hair to see how it would look like before committing to the change…

• Paper: Barbershop: GAN-based Image Compositing using Segmentation Masks

This new Facebook AI model can translate or edit text directly in the image in your own language, following the same style!

Imagine you are on vacation in another country where you do not speak the language. You want to try out a local restaurant, but their menu is in the language you don’t speak. I think this won’t be too hard to imagine as most of us already faced this situation whether you see menu items or directions and you can’t understand what’s written. Well, in 2020, you would take out your phone and google translate what you see. In 2021 you don’t even need to open google translate anymore and try to write what you see one by one to translate it. Instead, you can simply use this new model by Facebook AI to translate every text in the image in your own language…

• Paper: TextStyleBrush: Transfer of text aesthetics from a single example

If you’d like to read more research papers as well, I recommend you read my article where I share my best tips for finding and reading more research papers.

This model takes a picture, understands which particles are supposed to be moving, and realistically animates them in an infinite loop while conserving the rest of the picture entirely still creating amazing-looking videos like this one...

• Paper: Animating Pictures with Eulerian Motion Fields

Using a modified GAN architecture, they can move objects in the image without affecting the background or the other objects!

• Paper: GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields

Find out how this new model from OpenAI Generates Code From Words!

• Paper: Evaluating Large Language Models Trained on Code

Using multiple machine learning-based algorithms running privately on your device, Apple allows you to accurately curate and organize your images and videos on iOS 15.

• Paper: Recognizing People in Photos Through Private On-Device Machine Learning

Say goodbye to complex GAN and transformer architectures for image generation! This new method by Chenling Meng et al. from Stanford University and Carnegie Mellon University can generate new images from any user-based inputs. Even people like me with zero artistic skills can now generate beautiful images or modifications out of quick sketches...

• Paper: Image Synthesis and Editing with Stochastic Differential Equations

Make GANs training easier for everyone by generating Images following a sketch! Indeed, whit this new method, you can control your GAN’s outputs based on the simplest type of knowledge you could provide it: hand-drawn sketches.

• Paper: Sketch Your Own GAN

If you wonder how a Tesla car can not only see but navigate the roads with other vehicles, this is the video you were waiting for. A couple of days ago was the first Tesla AI day where Andrej Karpathy, the Director of AI at Tesla, and others presented how Tesla’s autopilot works from the image acquisition through their eight cameras to the navigation process on the roads.

AI could generate images, then, using a lot of brainpower and trial and error, researchers could control the results following specific styles. Now, with this new model, you can do that using only text!

• Paper: Styleclip: Text-driven manipulation of StyleGAN imagery.

TimeLens can understand the movement of the particles in-between the frames of a video to reconstruct what really happened at a speed even our eyes cannot see. In fact, it achieves results that our intelligent phones and no other models could reach before!

• Paper: TimeLens: Event-based Video Frame Interpolation

Have you ever wanted to edit a video? Remove or add someone, change the background, make it last a bit longer, or change the resolution to fit a specific aspect ratio without compressing or stretching it. For those of you who already ran advertisement campaigns, you certainly wanted to have variations of your videos for AB testing and see what works best. Well, this new research by Niv Haim et al. can help you do all of these out of a single video and in HD!

Indeed, using a simple video, you can perform any tasks I just mentioned in seconds or a few minutes for high-quality videos. You can basically use it for any video manipulation or video generation application you have in mind. It even outperforms GANs in all ways and doesn’t use any deep learning fancy research nor requires a huge and impractical dataset! And the best thing is that this technique is scalable to high-resolution videos.

• Paper: Diverse Generation from a Single Video Made Possible

DeepMind just released a Generative model able to outperform widely-used nowcasting methods in 89% of situations for its accuracy and usefulness assessed by more than 50 expert meteorologists! Their model focuses on predicting precipitations in the next 2 hours and achieves that surprisingly well. It is a generative model, which means that it will generate the forecasts instead of simply predicting them. It basically takes radar data from the past to create future radar data. So using both time and spatial components from the past, they can generate what it will look like in the near future.

You can see this as the same as Snapchat filters, taking your face and generating a new face with modifications on it. To train such a generative model, you need a bunch of data from both the human faces and the kind of face you want to generate. Then, using a very similar model trained for many hours, you will have a powerful generative model. This kind of model often uses GANs architectures for training purposes and then uses the generator model independently.

• Paper: Skillful Precipitation Nowcasting using Deep Generative Models of Radar

Have you ever tuned in to a video or a TV show and the actors were completely inaudible, or the music was way too loud? Well, this problem, also called the cocktail party problem, may never happen again. Mitsubishi and Indiana University just published a new model as well as a new dataset tackling this task of identifying the right soundtrack. For example, if we take the same audio clip we just ran with the music way too loud, you can simply turn up or down the audio track you want to give more importance to the speech than the music.

The problem here is isolating any independent sound source from a complex acoustic scene like a movie scene or a youtube video where some sounds are not well balanced. Sometimes you simply cannot hear some actors because of the music playing or explosions or other ambient sounds in the background. Well, if you successfully isolate the different categories in a soundtrack, it means that you can also turn up or down only one of them, like turning down the music a bit to hear all the other actors correctly. This is exactly what the researchers achieved.

• Paper: The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks

Imagine you want to generate a 3D model or simply a fluid video out of a bunch of pictures you took. Well, it is now possible! I don't want to give out too much, but the results are simply amazing and you need to check it out by yourself!

• Paper: ADOP: Approximate Differentiable One-Pixel Point Rendering

Have you ever dreamed of taking the style of a picture, like this cool TikTok drawing style on the left, and applying it to a new picture of your choice? Well, I did, and it has never been easier to do. In fact, you can even achieve that from only text and can try it right now with this new method and their Google Colab notebook available for everyone (see references). Simply take a picture of the style you want to copy, enter the text you want to generate, and this algorithm will generate a new picture out of it! Just look back at the results above, such a big step forward! The results are extremely impressive, especially if you consider that they were made from a single line of text!

• Paper (CLIPDraw): CLIPDraw: exploring text-to-drawing synthesis through language-image encoders
• Paper (StyleCLIPDraw): StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Synthesis
• CLIPDraw Colab demo
• StyleCLIPDraw Colab demo

Have you ever had an image you really liked and could only manage to find a small version of it that looked like this image below on the left? How cool would it be if you could take this image and make it twice look as good? It’s great, but what if you could make it even four or eight times more high definition? Now we’re talking, just look at that.

Here we enhanced the resolution of the image by a factor of four, meaning that we have four times more height and width pixels for more details, making it look a lot smoother. The best thing is that this is done within a few seconds, completely automatically, and works with pretty much any image. Oh, and you can even use it yourself with a demo they made available...

• Paper: SwinIR: Image restoration using swin transformer

Control any feature from quick drafts, and it will only edit what you want keeping the rest of the image the same! SOTA Image Editing from sketches model based on GANs by NVIDIA, MIT and UofT.

• Paper: EditGAN: High-Precision Semantic Image Editing
• Click here for the code (will be released soon)

The model is called CityNeRF and grows from NeRF, which I previously covered on my channel. NeRF is one of the first models using radiance fields and machine learning to construct 3D models out of images. But NeRF is not that efficient and works for a single scale. Here, CityNeRF is applied to satellite and ground-level images at the same time to produce various 3D model scales for any viewpoint. In simple words, they bring NeRF to city-scale. But how?

• Paper: CityNeRF: Building NeRF at City Scale

We’ve seen AI generate images from other images using GANs. Then, there were models able to generate questionable images using text. In early 2021, DALL-E was published, beating all previous attempts to generate images from text input using CLIP, a model that links images with text as a guide. A very similar task called image captioning may sound really simple but is, in fact, just as complex. It is the ability of a machine to generate a natural description of an image. It’s easy to simply tag the objects you see in the image but it is quite another challenge to understand what’s happening in a single 2-dimensional picture, and this new model does it extremely well...

• Paper: ClipCap: CLIP Prefix for Image Captioning
• Click here for the Colab Demo

If you would like to read more papers and have a broader view, here is another great repository for you covering 2020: 2020: A Year Full of Amazing AI papers- A Review and feel free to subscribe to my weekly newsletter and stay up-to-date with new publications in AI for 2022!

[1] A. Ramesh et al., Zero-shot text-to-image generation, 2021. arXiv:2102.12092

[2] Lewis, Kathleen M et al., (2021), VOGUE: Try-On by StyleGAN Interpolation Optimization.

[3] Taming Transformers for High-Resolution Image Synthesis, Esser et al., 2020.

[4] Thinking Fast And Slow in AI, Booch et al., (2020), https://arxiv.org/abs/2010.06002 .

[5] Odei Garcia-Garin et al., Automatic detection and quantification of floating marine macro-litter in aerial images: Introducing a novel deep learning approach connected to a web application in R, Environmental Pollution, https://doi.org/10.1016/j.envpol.2021.116490 .

[6] Rematas, K., Martin-Brualla, R., and Ferrari, V., “ShaRF: Shape-conditioned Radiance Fields from a Single View”, (2021), https://arxiv.org/abs/2102.08860

[7] Drew A. Hudson and C. Lawrence Zitnick, Generative Adversarial Transformers, (2021)

[8] Sandra Bryant et al., “We Asked Artificial Intelligence to Create Dating Profiles. Would You Swipe Right?”, (2021), UNSW Sydney blog.

[9] Liu, Z. et al., 2021, “Swin Transformer: Hierarchical Vision Transformer using Shifted Windows”, arXiv preprint https://arxiv.org/abs/2103.14030v1

[10] Zhang, Y., Chen, W., Ling, H., Gao, J., Zhang, Y., Torralba, A. and Fidler, S., 2020. Image gans meet differentiable rendering for inverse graphics and interpretable 3d neural rendering. arXiv preprint arXiv:2010.09125.

[11] Yuille, A.L., and Liu, C., 2021. Deep nets: What have they ever done for vision?. International Journal of Computer Vision, 129(3), pp.781–802, https://arxiv.org/abs/1805.04025 .

[12] Liu, A., Tucker, R., Jampani, V., Makadia, A., Snavely, N. and Kanazawa, A., 2020. Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image, https://arxiv.org/pdf/2012.09855.pdf

[13] Nguyen & Drealan et al. (2021) A Portable, Self-Contained Neuroprosthetic Hand with Deep Learning-Based Finger Control: https://arxiv.org/abs/2103.13452

[14] Pandey et al., 2021, Total Relighting: Learning to Relight Portraits for Background Replacement, doi: 10.1145/3450626.3459872, https://augmentedperception.github.io/total_relighting/total_relighting_paper.pdf .

[15] Gengshan Yang et al., (2021), LASR: Learning Articulated Shape Reconstruction from a Monocular Video, CVPR, https://lasr-google.github.io/ .

[16] Richter, Abu AlHaija, Koltun, (2021), "Enhancing Photorealism Enhancement", https://intel-isl.github.io/PhotorealismEnhancement/ .

[17] DeepFakeHop: Chen, Hong-Shuo, et al., (2021), “DefakeHop: A Light-Weight High-Performance Deepfake Detector.” ArXiv abs/2103.06929.

[18] Liang, Jie and Zeng, Hui and Zhang, Lei, (2021), "High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network", https://export.arxiv.org/pdf/2105.09188.pdf .

[19] Peihao Zhu et al., (2021), Barbershop, https://arxiv.org/pdf/2106.01505.pdf .

[20] Praveen Krishnan, Rama Kovvuri, Guan Pang, Boris Vassilev, and Tal Hassner, Facebook AI, (2021), ”TextStyleBrush: Transfer of text aesthetics from a single example”.

[21] Holynski, Aleksander, et al. “Animating Pictures with Eulerian Motion Fields.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021.

[22] Michael Niemeyer and Andreas Geiger, (2021), "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields", Published in CVPR 2021.

[23] Chen, M., Tworek, J., Jun, H., Yuan, Q., Pinto, H.P.D.O., Kaplan, J., Edwards, H., Burda, Y., Joseph, N., Brockman, G. and Ray, A., 2021. Evaluating large language models trained on code. arXiv preprint arXiv:2107.03374.

[24] Apple, “Recognizing People in Photos Through Private On-Device Machine Learning”, (2021), https://machinelearning.apple.com/research/recognizing-people-photos

[25] Meng, C., Song, Y., Song, J., Wu, J., Zhu, J.Y. and Ermon, S., 2021. Sdedit: Image synthesis and editing with stochastic differential equations. arXiv preprint arXiv:2108.01073.

[26] Wang, S.Y., Bau, D. and Zhu, J.Y., 2021. Sketch Your Own GAN. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 14050-14060).

[27] “Tesla AI Day”, Tesla, August 19th 2021, https://youtu.be/j0z4FweCy4M

[28] Patashnik, Or, et al., (2021), “Styleclip: Text-driven manipulation of StyleGAN imagery.”, https://arxiv.org/abs/2103.17249

[29] Stepan Tulyakov*, Daniel Gehrig*, Stamatios Georgoulis, Julius Erbach, Mathias Gehrig, Yuanyou Li, Davide Scaramuzza, TimeLens: Event-based Video Frame Interpolation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, 2021, http://rpg.ifi.uzh.ch/docs/CVPR21_Gehrig.pdf

[30] Haim, N., Feinstein, B., Granot, N., Shocher, A., Bagon, S., Dekel, T., & Irani, M. (2021). Diverse Generation from a Single Video Made Possible, https://arxiv.org/abs/2109.08591 .

[31] Ravuri, S., Lenc, K., Willson, M., Kangin, D., Lam, R., Mirowski, P., Fitzsimons, M., Athanassiadou, M., Kashem, S., Madge, S. and Prudden, R., 2021. Skillful Precipitation Nowcasting using Deep Generative Models of Radar, https://www.nature.com/articles/s41586-021-03854-z

[32] Petermann, D., Wichern, G., Wang, Z., & Roux, J.L. (2021). The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks. https://arxiv.org/pdf/2110.09958.pdf .

[33] Rückert, D., Franke, L. and Stamminger, M., 2021. ADOP: Approximate Differentiable One-Pixel Point Rendering, https://arxiv.org/pdf/2110.06635.pdf .

[34] a) CLIPDraw: exploring text-to-drawing synthesis through language-image encoders b) StyleCLIPDraw: Schaldenbrand, P., Liu, Z. and Oh, J., 2021. StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Synthesis.

[35] Liang, J., Cao, J., Sun, G., Zhang, K., Van Gool, L. and Timofte, R., 2021. SwinIR: Image restoration using swin transformer. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 1833–1844).

[36] Ling, H., Kreis, K., Li, D., Kim, S.W., Torralba, A. and Fidler, S., 2021, May. EditGAN: High-Precision Semantic Image Editing. In Thirty-Fifth Conference on Neural Information Processing Systems.

[37] Xiangli, Y., Xu, L., Pan, X., Zhao, N., Rao, A., Theobalt, C., Dai, B. and Lin, D., 2021. CityNeRF: Building NeRF at City Scale.

[38] Mokady, R., Hertz, A. and Bermano, A.H., 2021. ClipCap: CLIP Prefix for Image Captioning. https://arxiv.org/abs/2111.09734

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• Last updated November 18, 2021
• In AI Origins & Evolution

Top Machine Learning Research Papers Released In 2021

• Published on November 18, 2021
• by Dr. Nivash Jeevanandam

Advances in machine learning and deep learning research are reshaping our technology. Machine learning and deep learning have accomplished various astounding feats this year in 2021, and key research articles have resulted in technical advances used by billions of people. The research in this sector is advancing at a breakneck pace and assisting you to keep up. Here is a collection of the most important recent scientific study papers.

Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training

The authors of this work examined why ACGAN training becomes unstable as the number of classes in the dataset grows. The researchers revealed that the unstable training occurs due to a gradient explosion problem caused by the unboundedness of the input feature vectors and the classifier’s poor classification capabilities during the early training stage. The researchers presented the Data-to-Data Cross-Entropy loss (D2D-CE) and the Rebooted Auxiliary Classifier Generative Adversarial Network to alleviate the instability and reinforce ACGAN (ReACGAN). Additionally, extensive tests of ReACGAN demonstrate that it is resistant to hyperparameter selection and is compatible with a variety of architectures and differentiable augmentations.

This article is ranked #1 on CIFAR-10 for Conditional Image Generation.

For the research paper, read here .

For code, see here .

Dense Unsupervised Learning for Video Segmentation

The authors presented a straightforward and computationally fast unsupervised strategy for learning dense spacetime representations from unlabeled films in this study. The approach demonstrates rapid convergence of training and a high degree of data efficiency. Furthermore, the researchers obtain VOS accuracy superior to previous results despite employing a fraction of the previously necessary training data. The researchers acknowledge that the research findings may be utilised maliciously, such as for unlawful surveillance, and that they are excited to investigate how this skill might be used to better learn a broader spectrum of invariances by exploiting larger temporal windows in movies with complex (ego-)motion, which is more prone to disocclusions.

This study is ranked #1 on DAVIS 2017 for Unsupervised Video Object Segmentation (val).

Temporally-Consistent Surface Reconstruction using Metrically-Consistent Atlases

The authors offer an atlas-based technique for producing unsupervised temporally consistent surface reconstructions by requiring a point on the canonical shape representation to translate to metrically consistent 3D locations on the reconstructed surfaces. Finally, the researchers envisage a plethora of potential applications for the method. For example, by substituting an image-based loss for the Chamfer distance, one may apply the method to RGB video sequences, which the researchers feel will spur development in video-based 3D reconstruction.

This article is ranked #1 on ANIM in the category of Surface Reconstruction. 

EdgeFlow: Achieving Practical Interactive Segmentation with Edge-Guided Flow

The researchers propose a revolutionary interactive architecture called EdgeFlow that uses user interaction data without resorting to post-processing or iterative optimisation. The suggested technique achieves state-of-the-art performance on common benchmarks due to its coarse-to-fine network design. Additionally, the researchers create an effective interactive segmentation tool that enables the user to improve the segmentation result through flexible options incrementally.

This paper is ranked #1 on Interactive Segmentation on PASCAL VOC

Learning Transferable Visual Models From Natural Language Supervision

The authors of this work examined whether it is possible to transfer the success of task-agnostic web-scale pre-training in natural language processing to another domain. The findings indicate that adopting this formula resulted in the emergence of similar behaviours in the field of computer vision, and the authors examine the social ramifications of this line of research. CLIP models learn to accomplish a range of tasks during pre-training to optimise their training objective. Using natural language prompting, CLIP can then use this task learning to enable zero-shot transfer to many existing datasets. When applied at a large scale, this technique can compete with task-specific supervised models, while there is still much space for improvement.

This research is ranked #1 on Zero-Shot Transfer Image Classification on SUN

CoAtNet: Marrying Convolution and Attention for All Data Sizes

The researchers in this article conduct a thorough examination of the features of convolutions and transformers, resulting in a principled approach for combining them into a new family of models dubbed CoAtNet. Extensive experiments demonstrate that CoAtNet combines the advantages of ConvNets and Transformers, achieving state-of-the-art performance across a range of data sizes and compute budgets. Take note that this article is currently concentrating on ImageNet classification for model construction. However, the researchers believe their approach is relevant to a broader range of applications, such as object detection and semantic segmentation.

This paper is ranked #1 on Image Classification on ImageNet (using extra training data).

SwinIR: Image Restoration Using Swin Transformer

The authors of this article suggest the SwinIR image restoration model, which is based on the Swin Transformer . The model comprises three modules: shallow feature extraction, deep feature extraction, and human-recognition reconstruction. For deep feature extraction, the researchers employ a stack of residual Swin Transformer blocks (RSTB), each formed of Swin Transformer layers, a convolution layer, and a residual connection.

This research article is ranked #1 on Image Super-Resolution on Manga109 – 4x upscaling.

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125 Best Research Paper Topics of 2021

When you get into high school, you are not aware of the number of responsibilities you might have to face over your academics, making you feel clogged and exhausted, especially when writing and submitting research papers on time.

One of the most challenging parts of writing a research paper is to find a perfect topic to write. Luckily, we have done all the hard work for you and have created a list of 125 fascinating research paper topics.

For your further convenience, we have organized the topics into different categories covering a wide range of subjects so you can easily choose the best topic according to your interest and knowledge.

Besides the list of good research topics, I have also talked about selecting a good research topic and how you can use your subject to start writing an excellent paper.

How to Select a Perfect Research Paper Topic?

Before you start writing, you need to make sure you choose a great topic. Below mentioned are the three crucial factors to contemplate before selecting the best research paper topics.

Choosing a field, you are interested in

It is difficult to find a research paper topic because most high-school students are confused about selecting their major. However, you can always select an area of interest.

There are always specific research topics on trending. Many people seem interested in writing about the buzzing topics; never feel tempted or go with the crowd and make it your subject unless you genuinely have some interest in it.

There is enough information to foster your research.

Once you have chosen the best research paper topic and you're happy to write about it, it is still challenging to produce a good paper if there isn't enough information about the subject. 

This is possible for very particular or specialized topics, and sometimes some topics are too new to have enough research conducted on them at the moment. Simple topics will always have more than enough information to write a full-length paper. Writing a research paper on a topic that does not have enough information is extremely hard. Before you take up a topic, do primary research and make sure you have all the essential information to write your research paper.

The research paper fits your teacher guidelines. 

Always note down any specific requirements or restrictions your teacher may have implemented on some research topic ideas. If you are writing a research paper on a political science topic, deciding to write about technology’s impact on sports won’t be allowed. Still, there can be some sort of flexibility.

For example, if you want to write about the “Portrayal of minorities by Media” and your teacher wants you to write about “History,” you can combine both topics and develop something relevant. Like “How the portrayal of minorities by media go a long way back.” You can also use companies, like do my essay , to help you write your research paper.

For your convenience, we have organized the topics into different categories. It will also make it easier to find the type of research paper topics you're looking for.

Simple research paper topics

• How important is diversity within the team, and why?
• What makes one sport more accepted than another?
• How would the world be different without the discoveries of Albert Einstein?
• Rise of anime; what made anime admired worldwide?
• Is the traditional music of a country foremost than the international music that is popular around the world?
• What causes people to change their leisure time activities as they get older?
• What is the best way to deal with procrastination?
• What are hobbies more favored with children and adults in your area?
• Are there hobbies you can easily do in your own country but not so comfortable when you go to another country? Why?
• What are stereotypes of people from your country, and how true are those?

Interesting research paper topics

• How true is it that older people are wiser and correct, always right in their choices?
• Can technology cause a gap between generations?
• How different are friendships between men from friendships between women, and why?
• Can amusement parks have an educational motive aside from an entertaining one? 
• What things make people in your country happy?
• What are the pros and cons of plastic surgery?
• Does beauty, in general, decide how much a person will be happy and successful in life?
• What other common sayings such as “Actions speak louder than words” exist in your language, and what life lessons they teach?
• What makes Nordic regions happier and more prosperous than others?
• Ways to communicate better with family, friends, colleagues, and strangers?

Controversial topics for research paper

These topics might stimulate terrible responses from some people because most of these subjects are controversial and are likely to raise some issues. Be careful before writing about such topics.

• What is the context of all terrorist attacks in the world?
• How to deal with a large number of immigrants?
• How to prevent a rise in the number of homeless children?
• What is the proper punishment for serial killers and rapists?
• Will religion survive the future? Explain

Aggressive research topics

• Are video games the reason for more antisocial people?
• What makes communism the best political system in the world?
• How will a rise in the minimum wage help increase economic mobility?
• Should steroids be allowed in sports?
• What can things be done on an individual level to prevent cyberbullying?

Research topics by different fields of study

In different fields of study, you can tell your brain to perform innovatively. Here, you can carry out extensive research to put forward new opinions.

• What were the devastating impacts of British rule in India ? 
• What events led to the fall of the Roman Empire?
• Was it necessary to bomb Hiroshima and Nagasaki?
• Who was responsible for the Iran-Contra situation ? 
• What caused the Soviet Union to invade Afghanistan ?
• What are the important events in the history of Latin America? 
• How did Greece become a huge philosophical hub in ancient times?
• How did people study foreign languages before the 19th century?
• Who profited the most from wars in the Middle Ages?
• What caused Hitler's rise to power?

Sample History research papers

Environment 

• How deadly is the Earth’s climate change in the past few decades?
• How have previous oil spills changed regulations and cleaning methods?
• Make a detailed analysis of deforestation rates globally over a while.
• Impacts of Paris Climate Agreement on environment
• How to improve access to clean water around the world?
• Should developed countries rely more on nuclear energy?
• What to do to save amphibian species which are presently at risk of extinction?
• What impacts has climate change had on coral reefs?
• How are black holes created?
• Why has the number of natural disasters increased in the past few decades?

Sample Environment research papers 

• What can health issues be caused by emotional stress?
• What are the most effective ways to treat depression ?
• What are the advantages and drawbacks of the Keto diet?
• How do the healthcare plans of different countries vary from each other?
• How to lower blood pressure using natural herbs?
• Is it appropriate for parents to skip vaccination?
• How can you encourage obese people to change their lifestyles?
• What are the cons of genetically modified foods?
• Explain the history and impact of the HIV/AIDS epidemic.
• How much work out/ exercise should the average adult be getting each week?

Sample Health research papers

• How is business etiquette changed in the past decade?
• How can the understanding of culture change the way you do business?
• Who are the exceptional businessmen in the 21st century?
• Who are the exceptional businesswomen in the 21st century?
• What are the traits of team leaders, and how to become one?
• Why is the cause in the rise of the popularity of stock markets?
• What are the pros and cons of an all-female working environment?
• The difference in Islamic banking systems from traditional ones?
• What are the effects of gold and diamonds on the economy?
• How do offshore bank accounts work – the case of Panama papers?
• Analyze the history and future of self-driving vehicles.
• How the invention of drones changed surveillance and warfare methods?
• Why has social media made people less connected to reality?
• Rise of Artificial Intelligence? Explain
• Do smartphones improve or reduce workplace productivity?
• What are the most effective ways to use technology in the classroom?
• How is social media manipulating and causing depression?
• What is the history behind the Internet of Things?
• Can everything be solar-powered?
• What is the distinction between open and closed systems?

Sample Technology research papers

• Why did we stop believing in multiple gods?
• Are religion and spirituality connected?
• What is Karma?
• Why are teenagers less religious than older people?
• How are terrorist attacks affecting religion? 
• What are the new ideologies becoming popular?
• How are Hinduism, Buddhism, and Jainism connected?
• Teachings of Hinduism (you can choose any religion)
• What influence do religions have on the perception of right and wrong?
• Can other religions help to change the view of women in Arabic cultures?

Social Media

• Are social media making us lonely, empty from the inside, and unsociable?
• How to protect children online?
• What are some techniques to identify pedophiles on social media?
• Why do people have the want to post everything online?
• How to prevent cyber-bullying?
• Can LinkedIn help people find jobs or further education?
• How to make a break from social media?
• Why are more adolescent generations obsessed with the number of followers and likes?
• How bad is social media addiction?
• Who are world-famous influencers on social media?
• What is causing the rise in popularity of classical music?
• Why are world-famous musicians more prone to become drug abusers?
• History and the rise of hip-hop culture
• Why do people listen to sad music when they do not feel good?
• What happens to your mind when you listen to 432 HZ frequency music?
• How is the US education system different from the education systems in other countries?
• Impact of college debt on the future life choices of students?
• What benefits do physical education classes have on students' health?
• Do children who attend preschool excel in school in the future?
• What are the advantages and disadvantages of the Montessori Method ?
• Do students learn better in same-sex classrooms?
• Do students who get free meals at school get higher grades than those who do not receive any free meal?
• Impact of technology on studies
• What was the impact of the No Child Left Behind act?
• Homeschoolers VS Traditional school; who performs better in the college 

Current Affairs

• How have the motives of feminists changed over the decades?
• What are the impacts of China’s one-child policy?
• What factors gave rise to the current decline in the rate of unemployment?
• Difference between US immigration laws and immigration laws of other countries
• Explain the history of the relationship between the United States and North Korea.
• Explain Brexit
• What factors contributed to China becoming a superpower?
• How has the “Black Lives Matter” movement affected the view about racism in the world?
• How will India become a superpower in 2050?
• History and rise of Bitcoin and another cryptocurrency 

Conclusion 

Make sure to do your research before you start writing. You do not have to make a mistake to start writing your research paper and then learn that there is not enough information to foster your research. 

In some cases, your research can contradict the points you are trying to explain. Get most of your research done before your start writing. Create an outline to understand your flow. This will help keep your paper clear and structured, and you will get clarity to produce a strong report.

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Collection  29 March 2022

2021 Top 25 COVID-19 Articles

The 25 most downloaded  Nature Communications  articles* on COVID-19 published in 2021 illustrate the collaborative efforts of the international community to combat the ongoing pandemic. These papers highlight valuable research into the biology of coronavirus infection, its detection, treatment as well as into vaccine development and the epidemiology of the disease.

Browse all Top 25 subject area collections  here .

*Data obtained from SN Insights (based on Digital Science's Dimensions) and normalised to account for articles published later in the year.

Research highlights

Anti-spike antibody response to natural SARS-CoV-2 infection in the general population

Most people who are infected with SARS-CoV-2 seroconvert within a few weeks, but the determinants and duration of the antibody response are not known. Here, the authors characterise these features of the immune response using data from a large representative community sample of the UK population.

• Philippa C. Matthews
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Mortality outcomes with hydroxychloroquine and chloroquine in COVID-19 from an international collaborative meta-analysis of randomized trials

Hydroxychloroquine and chloroquine have been investigated as a potential treatment for Covid-19 in several clinical trials. Here the authors report a meta-analysis of published and unpublished trials, and show that treatment with hydroxychloroquine for patients with Covid-19 was associated with increased mortality, and there was no benefit from chloroquine.

• Cathrine Axfors
• Andreas M. Schmitt
• Lars G. Hemkens

Malignant cerebral infarction after ChAdOx1 nCov-19 vaccination: a catastrophic variant of vaccine-induced immune thrombotic thrombocytopenia

Vaccination is an effective strategy in suppressing COVID-19 pandemic, but rare adverse effects have been reported, including cerebral venous thrombosis. Here the authors report two cases of middle cerebral artery infarct within 9-10 days following ChAdOx1 nCov-19 vaccination that also manifest pulmonary and portal vein thrombosis.

• M. De Michele
• M. Iacobucci

Correlation of SARS-CoV-2-breakthrough infections to time-from-vaccine

The duration of effectiveness of SARS-CoV-2 vaccination is not yet known. Here, the authors present preliminary evidence of BNT162b2 vaccine waning across all age groups above 16, with a higher incidence of infection in people who received their second dose early in 2021 compared to later in the year.

• Barak Mizrahi
• Tal Patalon

COVID-19 mRNA vaccine induced antibody responses against three SARS-CoV-2 variants

Emerging SARS-CoV-2 variants contain mutations in the spike protein that may affect vaccine efficacy. Here, Jalkanen et al . show, using sera from 180 BNT162b2-vaccinated health care workers, that neutralization of SARS-CoV2 variant B.1.1.7 is not affected, while neutralization of B.1.351 variant is five-fold reduced.

• Pinja Jalkanen
• Pekka Kolehmainen
• Ilkka Julkunen

Exposure to SARS-CoV-2 generates T-cell memory in the absence of a detectable viral infection

T cells compose a critical component of the immune response to coronavirus infection with SARS-CoV-2. Here the authors characterise the T cell response to SARS CoV-2 in patients and their close contacts, and show the presence of SARS-CoV-2 specific T cells in the absence of detectable virus infection.

• Zhongfang Wang
• Xiaoyun Yang

Rapid decline of neutralizing antibodies against SARS-CoV-2 among infected healthcare workers

The humoral immune response to SARS-CoV-2 infection is not yet fully understood. Here, Marot et al. monitor the longitudinal profile and neutralizing activity of IgG, IgA, and IgM among 26 healthcare workers and provide evidence for a short-lasting humoral immune protection due to a decrease of neutralizing antibody titers within 3 months.

• Stéphane Marot
• Isabelle Malet
• Anne-Geneviève Marcelin

Efficacy and tolerability of bevacizumab in patients with severe Covid-19

In this single-arm clinical trial, the authors show that treatment of COVID-19 patients with bevacizumab, an anti-vascular endothelial growth factor drug, can improve PaO 2 /FiO 2 ratios and oxygen-support status. Relative to an external control group, bevacizumab shows clinical efficacy by improving oxygenation.

• Jiaojiao Pang

Evidence for SARS-CoV-2 related coronaviruses circulating in bats and pangolins in Southeast Asia

A bat origin for SARS-CoV-2 has been proposed. Here, by sampling wild Rhinolophus acuminatus bats from Thailand, the authors identified a SARS-CoV-2-related coronavirus (SC2r-CoV), designated as RacCS203, with 91.5% genome similarity to SARS-CoV-2, and show that sera obtained from bats and Malayan pangolin neutralize SARS-CoV-2.

• Supaporn Wacharapluesadee
• Chee Wah Tan
• Lin-Fa Wang

SARS-CoV-2 gene content and COVID-19 mutation impact by comparing 44 Sarbecovirus genomes

The SARS-CoV-2 gene set remains unresolved, hindering dissection of COVID-19 biology. Comparing 44 Sarbecovirus genomes provides a high-confidence protein-coding gene set. The study characterizes protein-level and nucleotide-level evolutionary constraints, and prioritizes functional mutations from the ongoing COVID-19 pandemic.

• Irwin Jungreis
• Rachel Sealfon
• Manolis Kellis

Neutralizing antibody responses to SARS-CoV-2 in symptomatic COVID-19 is persistent and critical for survival

Antibody responses are critical for protection from developing severe COVID-19 following SARS-CoV-2 infection. Here the authors show that antibody responses against SARS-CoV-2 spike protein correlate with neutralizing capacity and protection, are not affected by heterologous boosting of influenza or common cold immunity, and can last up to 8 months.

• Stefania Dispinseri
• Massimiliano Secchi
• Gabriella Scarlatti

New-onset IgG autoantibodies in hospitalized patients with COVID-19

Infection with SARS-CoV2 and the development of Coronavirus disease 2019 (COVID-19) has been linked to induction of autoimmunity and autoantibody production. Here the authors characterise the new-onset IgG autoantibody response in hospitalised patients with COVID-19 which they correlate to the magnitude of the SARS-CoV2 response.

• Sarah Esther Chang
• Paul J. Utz

SARS-CoV-2 vaccine breakthrough infections with the alpha variant are asymptomatic or mildly symptomatic among health care workers

Several COVID-19 vaccines have shown good efficacy in clinical trials. Here, the authors provide real world effectiveness data in a group of BNT162b2 vaccinated health care workers and find that breakthrough infections are asymptomatic or mild.

• Francesca Rovida
• Irene Cassaniti
• Fausto Baldanti

Duration and key determinants of infectious virus shedding in hospitalized patients with coronavirus disease-2019 (COVID-19)

Duration of infectious SARS-CoV-2 shedding is an important measure for improved disease control. Here, the authors use virus cultures of respiratory tract samples from COVID-19 patients and observe a median shedding duration of 8 days and a drop below 5% after 15,2 days post onset of symptoms.

• Jeroen J. A. van Kampen
• David A. M. C. van de Vijver
• Annemiek A. van der Eijk

A novel SARS-CoV-2 related coronavirus in bats from Cambodia

In this study, Delaune et al., isolate and characterise a SARS-CoV-2-related coronavirus from two bats sampled in Cambodia. Their findings suggest that the geographic distribution of SARS-CoV-2-related viruses is wider than previously reported.

• Deborah Delaune
• Veasna Duong

Neutralizing antibody titres in SARS-CoV-2 infections

Here, the authors perform plaque reduction neutralization (PRNT) assays quantitating SARS-CoV-2 specific neutralizing antibodies from 195 patients in different disease states and find that patients with severe disease exhibit higher peaks of neutralizing antibody titres than patients with mild or asymptomatic infections and that serum neutralizing antibody persists for over 6 months in most people.

• Eric H. Y. Lau
• Owen T. Y. Tsang
• Malik Peiris

SARS-CoV-2 antibody dynamics and transmission from community-wide serological testing in the Italian municipality of Vo’

Vo’, Italy, is a unique setting for studying SARS-CoV-2 antibody dynamics because mass testing was conducted there early in the pandemic. Here, the authors perform two follow-up serological surveys and estimate seroprevalence, the extent of within-household transmission, and the impact of contact tracing.

• Ilaria Dorigatti
• Enrico Lavezzo
• Andrea Crisanti

Discrete SARS-CoV-2 antibody titers track with functional humoral stability

The extent of antibody protection against SARS-CoV-2 remains unclear. Here, using a cohort of 120 seroconverted individuals, the authors longitudinally characterize neutralization, Fc-function, and SARS-CoV-2 specific T cell responses, which they show to be prominent only in those subjects that elicited receptor-binding domain (RBD)-specific antibody titers above a certain threshold, suggesting that development of T cell responses to be related to anti-RBD Ab production.

• Yannic C. Bartsch
• Stephanie Fischinger
• Galit Alter

Mechanisms of SARS-CoV-2 neutralization by shark variable new antigen receptors elucidated through X-ray crystallography

Shark antibodies (Variable New Antigen Receptors, VNARs) are the smallest naturally occurring antibody fragments. Here, the authors screen a VNAR phage display library against the SARS-CoV2 receptor binding domain (RBD) and identify VNARs that neutralize the SARSCoV-2 virus and discuss their mechanisms of viral neutralization.

• Obinna C. Ubah
• Eric W. Lake
• Caroline J. Barelle

Impact of the COVID-19 nonpharmaceutical interventions on influenza and other respiratory viral infections in New Zealand

New Zealand has been relatively successful in controlling COVID-19 due to implementation of strict non-pharmaceutical interventions. Here, the authors demonstrate a striking decline in reports of influenza and other non-influenza respiratory pathogens over winter months in which the interventions have been in place.

• Q. Sue Huang
• Richard J. Webby

A potent SARS-CoV-2 neutralising nanobody shows therapeutic efficacy in the Syrian golden hamster model of COVID-19

Neutralizing nanobodies (Nb) are of considerable interest as therapeutic agents for COVID-19 treatment. Here, the authors functionally and structurally characterize Nbs that bind with high affinity to the receptor binding domain of the SARS-CoV-2 spike protein and show that an engineered homotrimeric Nb prevents disease progression in a Syrian hamster model of COVID-19 when administered intranasally.

• Jiandong Huo
• Halina Mikolajek
• Raymond J. Owens

Reprogrammed CRISPR-Cas13b suppresses SARS-CoV-2 replication and circumvents its mutational escape through mismatch tolerance

Cas13b can be harnessed to target and degrade RNA transcripts inside a cellular environment. Here the authors reprogram Cas13b to target SARSCoV-2 transcripts in infected mammalian cells and reveal its resilience to variants thanks to single mismatch tolerance.

• Mohamed Fareh
• Joseph A. Trapani

SARS-CoV-2-specific T cell memory is sustained in COVID-19 convalescent patients for 10 months with successful development of stem cell-like memory T cells

T cells are instrumental to protective immune responses against SARS-CoV-2, the pathogen responsible for the COVID-19 pandemic. Here the authors show that, in convalescent COVID-19 patients, memory T cell responses are detectable up to 317 days post-symptom onset, in which the presence of stem cell-like memory T cells further hints long-lasting immunity.

• Jae Hyung Jung
• Min-Seok Rha
• Eui-Cheol Shin

Seven-month kinetics of SARS-CoV-2 antibodies and role of pre-existing antibodies to human coronaviruses

Long-term characterisation of SARS-CoV-2 antibody kinetics is needed to understand the protective role of the immune response. Here the authors describe antibody levels and neutralisation activity in healthcare workers over seven months and investigate the role of immunity to endemic human coronaviruses.

• Natalia Ortega
• Marta Ribes
• Carlota Dobaño

Mechanism of SARS-CoV-2 polymerase stalling by remdesivir

Remdesivir is a nucleoside analog that inhibits the SARS-CoV-2 RNA dependent RNA polymerase (RdRp) and is used as a drug to treat COVID19 patients. Here, the authors provide insights into the mechanism of remdesivir-induced RdRp stalling by determining the cryo-EM structures of SARS-CoV-2 RdRp with bound RNA molecules that contain remdesivir at defined positions and observe that addition of the fourth nucleotide following remdesivir incorporation into the RNA product is impaired by a barrier to further RNA translocation.

• Goran Kokic
• Hauke S. Hillen
• Patrick Cramer

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More than 10,000 research papers were retracted in 2023 - a new record

• PMID: 38087103
• DOI: 10.1038/d41586-023-03974-8

Keywords: Publishing; Scientific community.

Publication types

• History, 21st Century
• Retraction of Publication as Topic*
• Scientific Misconduct / history
• Scientific Misconduct / statistics & numerical data