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.
Regina Barzilay, Fotini Christia, and Collin Stultz describe how artificial intelligence and machine learning can support fairness, personalization, and inclusiveness in health care.
A new tool helps humans better understand and develop artificial intelligence models by searching and highlighting representative scenarios.
Deep-learning technique optimizes the arrangement of sensors on a robot’s body to ensure efficient operation.
New technique speeds up calculations of drug molecules’ binding affinity to proteins.
Leveraging years of MIT cognitive science research, Nara Logics incorporates findings about the brain into its AI platform.
A new method called tensor holography could enable the creation of holograms for virtual reality, 3D printing, medical imaging, and more — and it can run on a smartphone.
Method builds on gaming techniques to help autonomous vehicles navigate in the real world, where signals may be imperfect.
With technology new and old, instructors try to recreate the interactivity of their pre-Covid classroom.
Researchers develop a system to identify drugs that might be repurposed to fight the coronavirus in elderly patients.
MIT researchers’ new hardware and software system streamlines state-of-the-art sentence analysis.
Research finds that as one looks around, mental images bounce between right and left brain as they shift around in our visual system.
Assistant Professor Cathy Wu aims to help autonomous vehicles fulfill their promise by better understanding how to integrate them into the transportation system.
Researchers created a risk-assessment algorithm that shows consistent performance across datasets from US, Europe, and Asia.
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.
Brain and cognitive sciences professor will lead the Institute’s interdisciplinary initiative to advance research in natural and artificial intelligence.
Using this computational system, researchers can identify viral protein sequences that could make better vaccine targets.
EECS faculty head of artificial intelligence and decision making honored for significant and extended contributions to the field of AI.
Findings suggest this hippocampal circuit helps us to maintain our timeline of memories.
A smart thermostat quickly learns to optimize building microclimates for both energy consumption and user preference.
Researchers show that deep reinforcement learning can be used to design more efficient nuclear reactors.
Neuroscientists find that interpreting code activates a general-purpose brain network, but not language-processing centers.
A new algorithm capable of inferring goals and plans could help machines better adapt to the imperfect nature of human planning.
A key finding: Early reopening last spring led to a dramatic drop in “quarantine strength” in southern and west-central U.S. states.
Adding a module that mimics part of the brain can prevent common errors made by computer vision models.
A new approach could lower computing costs and increase accessibility to state-of-the-art natural language processing.
Neuroscientists find that isolation provokes brain activity similar to that seen during hunger cravings.
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.
A faster way to estimate uncertainty in AI-assisted decision-making could lead to safer outcomes.
Study suggests mechanical properties of spike proteins can predict infectivity and lethality of different coronaviruses.
MIT Schwarzman College of Computing and the Singapore Defense Science and Technology Agency award funding to 13 AI-focused projects.
MIT Task Force on the Work of the Future identifies ways to align new technologies with durable careers.
Advance could enable artificial intelligence on household appliances while enhancing data security and energy efficiency.
Machine learning model predicts probability that a particular urinary tract infection can be treated by specific antibiotics.
Textual analysis of social media posts finds users’ anxiety and suicide-risk levels are rising, among other negative trends.
Norepinephrine-producing neurons in the locus coeruleus produce attention focus, impulse control via two distinct connections to prefrontal cortex.
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.
System developed at MIT CSAIL aims to help linguists decipher languages that have been lost to history.
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.
Computational method for screening drug compounds can help predict which ones will work best against tuberculosis or other diseases.
Modifications to chromosomes in “engram” neurons control the encoding and retrieval of memories.
In some situations, asking “what if everyone did that?” is a common strategy for judging whether an action is right or wrong.
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.
Scientists distinguish brain regions based on what they do, but now have a new way to overlay information about how they are built.
MIT-led team uses AI and machine learning to explore fundamental forces.
Working remotely this summer, students worked to better understand human intelligence and to advance machine learning applications.
Regina Barzilay wins $1M Association for the Advancement of Artificial Intelligence Squirrel AI award
MIT professor announced as award’s first recipient for work in cancer diagnosis and drug synthesis.
Realtime Robotics has created a controller that helps robots safely move around on the fly.
A CRISPR-based test developed at MIT and the Broad Institute can detect nearly as many cases as the standard Covid-19 diagnostic.
Study also finds specific frequency bands of brain waves associated with encoding, or inhibiting encoding, of sensory information across the cortex.
The company Health at Scale uses machine learning to improve outcomes for individual patients.
New faculty in these areas will connect the MIT Schwarzman College of Computing and a department or school.
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.
Study finds that the fusiform face area is active when blind people touch 3D models of faces.
The startup Kinsa uses its smart thermometers to detect and track the spread of contagious illness before patients go to the hospital.
An artificial intelligence tool lets users edit generative adversarial network models with simple copy-and-paste commands.
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.
Part of the visual cortex dedicated to recognizing objects appears predisposed to identifying words and letters, a study finds.
Machine learning system from MIT CSAIL can look at chest X-rays to diagnose pneumonia — and also knows when to defer to a radiologist.
A team from MIT helped create an image retrieval system to find the closest matches of paintings from different artists and cultures.
Recent advances give theoretical insight into why deep learning networks are successful.
Device not only helps record dream reports, but also guides dreams toward particular themes.
C3.ai Digital Transformation Institute awards $5.4 million to top researchers to steer how society responds to the pandemic.
Acoustic and biological constraints shape how we hear harmony across cultures.
A global team of researchers searches for insights during a weeklong virtual “datathon.”
Music gesture artificial intelligence tool developed at the MIT-IBM Watson AI Lab uses body movements to isolate the sounds of individual instruments.
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.
Neuroscientists delve into how background brightness influences our perception of an object.
Institute ends negotiations for a new journals contract in the absence of a proposal aligning with the MIT Framework for Publisher Contracts.
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.
An MIT-developed technique could aid in tracking the ocean’s health and productivity.
Approach for generating numbers at random may help analyses of complex systems, from Earth’s climate to financial markets.
UROP students explore applications in robotics, health care, language understanding, and nuclear engineering.
Pathologists who examined the computationally stained images could not tell them apart from traditionally stained slides.
Engineers develop a rapid screening system to test fracture resistance in billions of potential materials.
The MIT-IBM Watson AI Lab is funding 10 research projects aimed at addressing the health and economic consequences of the pandemic.
Researchers test how far artificial intelligence models can go in dreaming up varied poses and colors of objects and animals in photos.
Job-replacing tech has directly driven the income gap since the late 1980s, economists report.
New CRISPR-based research tool delivers results in an hour; researchers share protocol and kits to advance research and move toward clinical validation.
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.
Researchers show that computers can “write” algorithms that adapt to radically different environments better than algorithms designed by humans.
CSAIL's Conduct-A-Bot system uses muscle signals to cue a drone’s movement, enabling more natural human-robot communication.
MIT system cuts the energy required for training and running neural networks.
Startup Posh has created chatbots that use “conversational memory” to have more natural exchanges.
A machine learning algorithm combines data on the disease's spread with a neural network, to help predict when infections will slow down in each country.
Congestion control system could help streaming video, mobile games, and other applications run more smoothly.
New website offers a combination of learning units, hands-on activities, and mentor guides to foster AI literacy.
Neurons that store abstract representations of past experiences are activated when a new, similar event takes place.
Translated into sound, SARS-CoV-2 tricks our ear in the same way the virus tricks our cells.
Technique may enable speedy, on-demand design of softer, safer neural devices.
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.
Philosophers are part of a team working on transforming technology ethics education at MIT.
Neuroscientists discover how a key brain region combines visual and spatial information to help us find our way.
Catherine D'Ignazio's new book, Data Feminism, examines problems of bias and power that beset modern information.
Professor Aleksander Madry strives to build machine-learning models that are more reliable, understandable, and robust.
Computer model of face processing could reveal how the brain produces richly detailed visual representations so quickly.
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.
MIT duo uses music, videos, and real-world examples to teach students the foundations of artificial intelligence.
PatternEx merges human and machine expertise to spot and respond to hacks.
Through the Undergraduate Research Opportunities Program, students work to build AI tools with impact.
Text-generating tool pinpoints and replaces specific information in sentences while retaining humanlike grammar and style.
Researchers develop a more robust machine-vision architecture by studying how human vision responds to changing viewpoints of objects.
Three-day hackathon explores methods for making artificial intelligence faster and more sustainable.
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.
Model tags road features based on satellite images, to improve GPS navigation in places with limited map data.
Models that map these relationships based on patient data require fine-tuning for certain conditions, study shows.
Even when people believed Hillary Clinton would win the 2016 election, they did not use “she” to refer to the next president.
Machine-learning system should enable developers to improve computing efficiency in a range of applications.
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.
Objects are posed in varied positions and shot at odd angles to spur new AI techniques.
Model registers “surprise” when objects in a scene do something unexpected, which could be used to build smarter AI.
Using deductive reasoning, the bot identifies friend or foe to ensure victory over humans in certain online games.
To help the region catch up, students organize summit to bring Latin policymakers and researchers to MIT.
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.
Robotic boats could more rapidly locate the most valuable sampling spots in uncharted waters.
Model alerts driverless cars when it’s safest to merge into traffic at intersections with obstructed views.
Navigation method may speed up autonomous last-mile delivery.
An artificial intelligence model developed at MIT shows in striking detail what makes some images stick in our minds.
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.
Systems “learn” from novel dataset that captures how pushed objects move, to improve their physical interactions with new objects.
Research aims to make it easier for self-driving cars, robotics, and other applications to understand the 3D world.
Model could recreate video from motion-blurred images and “corner cameras,” may someday retrieve 3D data from 2D medical images.
MIT and IBM researchers offer a new method to train and run deep learning models more efficiently.
Fluorescent probe could allow scientists to watch circuits within the brain and link their activity to specific behaviors.
Connected devices can now share position information, even in noisy, GPS-denied areas.
TX-GAIA is tailor-made for crunching through deep neural network operations.
Brain and cognitive sciences professor studies how the human mind is able to learn so rapidly.
MIT planetary scientists partner with computer scientists to find exoplanets.
Commercial cloud service providers give artificial intelligence computing at MIT a boost.
CSAIL system uses a patient's ECG signal to estimate potential for cardiovascular death.
Study reveals brain regions that respond differently to the presence of background noise, suggesting the brain progressively hones in on and isolates sounds.
Task force calls for bold public and private action to harness technology for shared prosperity.
Nearly $12 million machine will let MIT researchers run more ambitious AI models.
MIT system “learns” how to optimally allocate workloads across thousands of servers to cut costs, save energy.
Magnetic particles allow drugs to be released at precise times and in specific areas.
Prototype machine-learning technology co-developed by MIT scientists speeds processing by up to 175 times over traditional methods.
New system could free bench chemists from time-consuming tasks, may help inspire new molecules.
Model replaces the laborious process of annotating massive patient datasets by hand.
Two longtime friends explore how computer vision systems go awry.
A course that combines machine learning and health care explores the promise of applying artificial intelligence to medicine.
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.
New MIT system of contracting fibers could be a boon for biomedical devices and robotics.
An MIT/IBM system could help artists and designers make quick tweaks to visuals while also helping researchers identify “fake” images.
System lets nonspecialists use machine-learning models to make predictions for medical research, sales, and more.
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.
System helps machine-learning models glean training information for diagnosing and treating brain conditions.
MIT CSAIL system can learn to see by touching and feel by seeing, suggesting future where robots can more easily grasp and recognize objects.
Researchers combine deep learning and symbolic reasoning for a more flexible way of teaching computers to program.
A new tool for predicting a person’s movement trajectory may help humans and robots work together in close proximity.
Tiny, branching extensions called dendrites may be more than just passive information-carriers, study finds.
Simulations suggest photonic chip could run optical neural networks 10 million times more efficiently than its electrical counterparts.
MIT startup Inkbit is overcoming traditional constraints to 3-D printing by giving its machines “eyes and brains.”
Interactive tool lets users see and control how automated model searches work.
Image-translation pioneer discusses the past, present, and future of generative adversarial networks, or GANs.
Researchers submit deep learning models to a set of psychology tests to see which ones grasp key linguistic rules.
Signals help neural network identify objects by touch; system could aid robotics and prosthetics design.
In helping envision the MIT Schwarzman College of Computing, working group is focusing on ethical and societal questions.
Working group studies options for creating a new set of faculty hires for MIT’s new college.
MIT Quest for Intelligence-sponsored undergraduate research projects demystify AI.
Autonomous control system “learns” to use simple maps and image data to navigate new, complex routes.
Neuroscientists identify a brain circuit that helps break decisions down into smaller pieces.
New tools can find patterns in vast online data to track and identify users on illicit forums.
New method quickly detects instances when neural networks make mistakes they shouldn’t.
Machine learning reveals metabolic pathways disrupted by the drugs, offering new targets to combat resistance.
In some cases, radio frequency signals may be more useful for caregivers than cameras or other data-collection methods.
MIT/MGH's image-based deep learning model can predict breast cancer up to five years in advance.
MIT CSAIL project shows the neural nets we typically train contain smaller “subnetworks” that can learn just as well, and often faster.
Algorithm stitches multiple datasets into a single “panorama,” which could provide new insights for medical and biological studies.
Study shows that artificial neural networks can be used to drive brain activity.
Data-sampling method makes “sketches” of unwieldy biological datasets while still capturing the full diversity of cell types.
Analysis of genes altered by the disease could provide targets for new treatments.
Projects will develop new AI technologies that detect and prevent diseases.