Researchers propose a method for finding and fixing weaknesses in automated programming tools.
System uses penetrative radio frequency to pinpoint items, even when they’re hidden from view.
New technique speeds up calculations of drug molecules’ binding affinity to proteins.
Method builds on gaming techniques to help autonomous vehicles navigate in the real world, where signals may be imperfect.
Quest Corporate director Aude Oliva comments on a new method for training image-recognition models that eliminates the need for most labels.
MIT researchers’ new hardware and software system streamlines state-of-the-art sentence analysis.
The new type of neural network could aid decision making in autonomous driving and medical diagnosis.
New building will create a hub for computing research and education at MIT, including spaces designed to be inviting to members of the campus community and the public.
A new system devises hardware architectures to hasten robots’ response time.
In two years, the MIT Quest for Intelligence has allowed hundreds of students to explore AI in its many applications.
Using this computational system, researchers can identify viral protein sequences that could make better vaccine targets.
Researchers show that deep reinforcement learning can be used to design more efficient nuclear reactors.
Artificial intelligence programs typically are power guzzlers. New research from Song Han's lab at MIT shows how to generate computer vision from a simple, low-power chip.
A key finding: Early reopening last spring led to a dramatic drop in “quarantine strength” in southern and west-central U.S. states.
In a new study, researchers from MIT and the MIT-IBM Watson AI Lab explore whether the human brain can offer clues on how to make deep neural networks even more powerful and secure. Turns out it can.
Researchers from the MIT-IBM Watson AI Lab unveil a technique for squezing more AI than ever onto the simple chips that power connected devices, from medical wearables to coffeemakers.
A new approach could lower computing costs and increase accessibility to state-of-the-art natural language processing.
Technologies like robots and artificial intelligence could partner with humans, not oust them from work, research and business leaders say.
MIT task force wraps up with a final conference, sounds note of optimism that new ideas, better policies can help sustain good careers.
Study suggests mechanical properties of spike proteins can predict infectivity and lethality of different coronaviruses.
Textual analysis of social media posts finds users’ anxiety and suicide-risk levels are rising, among other negative trends.
Artificial intelligence model detects asymptomatic Covid-19 infections through cellphone-recorded coughs
Results might provide a convenient screening tool for people who may not suspect they are infected.
Letting an algorithm decide which maintenance holes to test for evidence of coronavirus could improve pandemic containment efforts.
Researchers are working toward intelligent machines that can sense cognitive fatigue and suggest interventions to help a human improve performance.
The startup OpenSpace is using 360-degree cameras and computer vision to create comprehensive digital replicas of construction sites.
Convened by the MIT Schwarzman College of Computing, the AI Policy Forum will develop frameworks and tools for governments and companies to implement concrete policies.
Artificial intelligence has been criticized for lacking common sense. Could a hybrid form of AI, merging deep neural networks and symbolic programs, change that? David Cox, IBM director of the MIT-IBM Watson AI Lab, weighs in.
Computational method for screening drug compounds can help predict which ones will work best against tuberculosis or other diseases.
Many health issues are tied to excess fluid in the lungs. A new algorithm can detect the severity by looking at a single X-ray.
The award supports promising PhD candidates or postdocs conducting interdisciplinary research on the societal and ethical dimensions of computing.
MIT-led team uses AI and machine learning to explore fundamental forces.
Researchers train a model to reach human-level performance at recognizing abstract concepts in video.
National Science Foundation announces MIT-led Institute for Artificial Intelligence and Fundamental Interactions
IAIFI will advance physics knowledge — from the smallest building blocks of nature to the largest structures in the universe — and galvanize AI research innovation.
Storage tool developed at MIT CSAIL adapts to what its datasets’ users want to search.
Through innovation in software and hardware, researchers move to reduce the financial and environmental costs of modern artificial intelligence.
Machine learning models leverage correlations between different variables to make predictions, but the pandemic has shown how ephemeral and context-driven these correlations can be. “Without an understanding of the underlying causes and effects that drive those correlations, your predictions will be wrong,” says David Cox, IBM director of the MIT-IBM Watson AI Lab.
Recent advances give theoretical insight into why deep learning networks are successful.
In a paper on the pre-print server arXiv, MIT and IBM researchers argue that it may no longer be economically or environmentally feasible to continue scaling deep learning systems.
David Cox, IBM Director of the MIT-IBM Watson AI lab, speaks with Tonya Hall about ten new projects MIT and IBM have launched to combat COVID-19.
Researchers want AI not to just recognize objects, but to be able to understand what it sees and apply reasoning to navigate new situations. In a project funded by DARPA, researchers at MIT, IBM, Harvard and Stanford aim to train computers to learn more like humans.
A research team led by MIT's Song Han says it's developed a method that improves the efficiency of generative adversarial networks (GANs) by augmenting both real and fake data samples.
Expert in personal social robots will work with lab faculty and researchers to develop strategic research initiatives, and to explore new funding mechanisms.
Researchers capture our shifting gaze in a model that suggests how to prioritize visual information based on viewing duration.
The design could advance the development of small, portable AI devices.
In a pair of papers from MIT CSAIL, two teams enable better sense and perception for soft robotic grippers.
UROP students explore applications in robotics, health care, language understanding, and nuclear engineering.
One way to close the gap between AI's promise and its usefulness for business is to make its decision-making process explainable, says David Cox, IBM director of the MIT-IBM Watson AI Lab. "If people don't understand or trust those tools, it's going to be a lost cause."
Job-replacing tech has directly driven the income gap since the late 1980s, economists report.
Study finds manufacturing companies that are quick to automate can thrive, but overall employment drops.
MIT economist Daron Acemoglu’s new research puts a number on the job costs of automation.
Researchers unveil a pruning algorithm to make artificial intelligence applications run faster.
The MIT Technology Review sat down with Daniel Huttenlocher, the first dean of the MIT Schwarzman College of Computing, to find out what it’s been like to return to campus as an alum in order to lead one of the greatest structural changes in MIT’s history.
A new dataset released by researchers at MIT, Harvard and IBM at the International Conference on Learning Representations is aimed at training machines to understand causal relationships among objects.
In a pair of papers accepted to the International Conference on Learning Representations, MIT researchers investigate new ways to motivate software agents to explore their environment and they unveil a new compression method for making AI models run faster.
Journalist Tonya Hall speaks with MIT's Una-May O'Reilly about the current state of artificial adversarial intelligence and the strengths of adversarial dynamics over model-based malware detectors.
CSAIL's Conduct-A-Bot system uses muscle signals to cue a drone’s movement, enabling more natural human-robot communication.
In a new study, researchers at MIT and IBM propose a system for training and running AI models that saves energy and produces fewer carbon emissions.
MIT system cuts the energy required for training and running neural networks.
The growing use of energy-intensive AI applications has led to a push for smaller, more efficient AI models. The MIT Quest for Intelligence and MIT-IBM Watson AI Lab recently sponsored a "Green AI" hackathon to spur innovation in this area.
Congestion control system could help streaming video, mobile games, and other applications run more smoothly.
The future of AI depends on systems that learn on their own, with little to no human supervision. David Cox, IBM director of the MIT-IBM Watson AI Lab, offers ideas for how to get there.
New website offers a combination of learning units, hands-on activities, and mentor guides to foster AI literacy.
Working with AI doesn't necessarily mean people will lose their jobs — but they will need to work differently. IBM chief economist Martin Fleming discusses the results of an MIT-IBM Watson AI Lab study on AI and the future of work.
Sorting through millions of possibilities, a search for battery materials delivered results in five weeks instead of 50 years.
With help from artificial intelligence, researchers identify hidden power of vitamin A and ordinary chewing gum glaze.
Causal reasoning would be useful for almost any AI system. Here's how researchers at the MIT-IBM Watson AI Lab and their colleagues are trying to embed an intuitive sense of physics in machines.
Catherine D'Ignazio's new book, Data Feminism, examines problems of bias and power that beset modern information.
A new dataset co-released by the MIT-IBM Watson AI Lab reveals just how bad AI is at reasoning — and suggests that a new hybrid approach might be the best way forward.
Technique may help scientists more accurately map vast underground geologic structures.
Weather’s a problem for autonomous cars. MIT’s new system shows promise by using “ground-penetrating radar” instead of cameras or lasers.
An open-source AI curriculum developed in professor Cynthia Breazeal's lab at MIT focuses on how AI systems are designed, how they can influence the public, and how AI may change the workplace.
A new system that can predict a proposed drug’s chemical structure could help prevent adverse drug interactions, a leading cause of patient death.
MIT’s new system TextFooler can trick the types of natural-language-processing systems that Google uses to help power its search results, including audio for Google Home.
With the initial organizational structure in place, the MIT Schwarzman College of Computing moves forward with implementation.
Doctoral candidate Natalie Lao wants to show that anyone can learn to use AI to make a better world.
Computer scientists’ new method could help doctors avoid ineffective or unnecessarily risky treatments.
AI experts look at recent trends and explain where the field is headed in 2020.
MIT researchers and collaborators have developed an open-source curriculum to teach young students about ethics and artificial intelligence.
As natural language processing techniques improve, suggestions are getting speedier and more relevant.
Study: After eBay improved its translation software, international commerce increased sharply.
The ObjectNet dataset compiled by scientists from MIT and IBM is testing the limits of AI vision.
MIT and IBM researchers have developed a new dataset aimed at improving how AI systems identify objects. "We don’t want them to only recognize what is very common," says MIT's Boris Katz. "We want [a robot] to recognize a chair that is upside down on the floor and not say it is a backpack."
Model registers “surprise” when objects in a scene do something unexpected, which could be used to build smarter AI.
System from MIT CSAIL sizes up drivers as selfish or selfless. Could this help self-driving cars navigate in traffic?
New tool highlights what generative models leave out when reconstructing a scene.
Don't fear the robots, according to a report by the MIT-IBM Watson AI Lab. Worry about algorithms replacing any task that can be automated.
Nick Roy, director of the Bridge at MIT Quest, explains how cognitive science pushes artificial intelligence, enabling new engineering tools and services, and speaks about the importance of explainable and ethical AI.
Developed at MIT’s Computer Science and Artificial Intelligence Laboratory, robots can self-assemble to form various structures with applications including inspection.
By sensing tiny changes in shadows, a new system identifies approaching objects that may cause a collision.
Modeling web traffic could aid cybersecurity, computing infrastructure design, Internet policy, and more.
A research team led by MIT's Song Han is teaching artificial intelligence to process more videos while using less power, potentially making it easier to apply AI to large amounts of video.
MIT and IBM researchers offer a new method to train and run deep learning models more efficiently.
TX-GAIA is tailor-made for crunching through deep neural network operations.
MIT planetary scientists partner with computer scientists to find exoplanets.
CSAIL system uses a patient's ECG signal to estimate potential for cardiovascular death.
Nearly $12 million machine will let MIT researchers run more ambitious AI models.
Prototype machine-learning technology co-developed by MIT scientists speeds processing by up to 175 times over traditional methods.
Industry-academia collaborations like the MIT-IBM Watson AI Lab are one way of attempting to make AI tools and technologies accessible to all.
New system could free bench chemists from time-consuming tasks, may help inspire new molecules.
Beloved professor conducted pioneering research on imbuing machines with human-like intelligence, including the ability to understand stories.
Longtime MIT professor developed early “time-sharing” operating systems and is widely credited as the creator of the world’s first computer password.
A new GAN-painting tool, developed at the MIT-IBM Watson AI Lab, takes a common-sense approach to adding objects and scenery to photos.
An MIT/IBM system could help artists and designers make quick tweaks to visuals while also helping researchers identify “fake” images.
General-purpose language works for computer vision, robotics, statistics, and more.
By turning molecular structures into sounds, researchers gain insight into protein structures and create new variations.
MIT Machine Intelligence Community introduces students to nuts and bolts of machine learning.
A new tool for predicting a person’s movement trajectory may help humans and robots work together in close proximity.
Interactive tool lets users see and control how automated model searches work.
Autonomous control system “learns” to use simple maps and image data to navigate new, complex routes.
MIT/MGH's image-based deep learning model can predict breast cancer up to five years in advance.
Study shows that artificial neural networks can be used to drive brain activity.
Company announces $25 million, five-year collaboration.
The DiCarlo lab finds that a recurrent architecture helps both artificial intelligence and our brains to better identify objects.
EECS faculty member is recognized for technical innovation, educational excellence, and efforts to advance women and under-represented minorities in her field.
Working groups of faculty, students, staff are meeting regularly to develop ideas for the MIT Schwarzman College of Computing.
Algorithm designs optimized machine-learning models up to 200 times faster than traditional methods.
Loosely connected disc-shaped “particles” can push and pull one another, moving en masse to transport objects.
Fireside chat brings together six Turing Award winners to reflect on their field and the MIT Stephen A. Schwarzman College of Computing.
Conference celebrating new MIT Schwarzman College of Computing explores the changing face of higher ed.
Popular expo highlights student creativity and ambition as celebration of the MIT Schwarzman College of Computing gets underway.
“We see an incredible future where the College of Computing channels the collaborative potential of disciplines,” says grad student Matthew Claudel.
Undergraduate research projects show how students are advancing research in human and artificial intelligence, and applying intelligence tools to other disciplines.
New system of “strain engineering” can change a material’s optical, electrical, and thermal properties.
MIT associate professor of aeronautics and astronautics describes the seamless flow of people, things, and materials.
Study uncovers language patterns that AI models link to factual and false articles; underscores need for further testing.
A new database of images could pave a path for algorithmic models that ensure accurate diagnoses of conditions like pneumonia.
Algorithm could help autonomous underwater vehicles explore risky but scientifically-rewarding environments.
Model identifies instances when autonomous systems have learned from examples that may cause dangerous errors in the real world.
Headquarters would replace Building 44, forming an “entrance to computing” near the intersection of Vassar and Main streets.
A recent MIT symposium explores methods for making artificial intelligence systems more reliable, secure, and transparent.
Method could illuminate features of biological tissues in low-exposure images.
Senior Jessy Lin, a double major in EECS and philosophy, is programming for social good.
Speakers at the summit included Massachusetts Secretary of Labor Rosalin Acosta and former Google chairman Eric Schmidt.
A roundup of MIT student research projects offers a glimpse of where computing is going next.
Computer model could improve human-machine interaction, provide insight into how children learn language.
New system may open up the world’s roughly 7,000 spoken languages to computer-based translation.
Massive global survey reveals ethics preferences and regional differences.
$20 million gift names imaging suite in new facility, creates catalyst fund.
Deep-learning model has been used successfully on patients, may lead to more consistent screening procedures.
Community event generates ideas for sparking innovative and ambitious plans to advance research in human and machine intelligence.
Program users can tinker with landing and path planning scenarios to identify optimal landing sites for Mars rovers.
Machine learning system efficiently recognizes activities by observing how objects change in only a few key frames.
Up to 100 Quest-funded UROP projects aim to crack the code of human and machine intelligence.
Interdisciplinary work will advance research in human and machine intelligence.
Faculty from across the Institute tapped to lead new initiative in human and machine intelligence.
Neural network could expedite complex physics simulations.
At the MIT-IBM Watson AI Lab, researchers are training computers to recognize dynamic events.
Alliance will be part of new MIT Intelligence Quest.
IBM plans to make a 10-year, $240 million investment to create the MIT–IBM Watson AI Lab in partnership with MIT, where fundamental AI research will be conducted to unlock the potential of AI. Here are 5 key things to know about the new Lab.