Toward deep-learning models that can reason about code more like humans

Researchers propose a method for finding and fixing weaknesses in automated programming tools.

A robot that senses hidden objects

System uses penetrative radio frequency to pinpoint items, even when they’re hidden from view.

3 Questions: Artificial intelligence for health care equity

Regina Barzilay, Fotini Christia, and Collin Stultz describe how artificial intelligence and machine learning can support fairness, personalization, and inclusiveness in health care.

More transparency and understanding into machine behaviors

A new tool helps humans better understand and develop artificial intelligence models by searching and highlighting representative scenarios.

Researchers’ algorithm designs soft robots that sense

Deep-learning technique optimizes the arrangement of sensors on a robot’s body to ensure efficient operation.

Faster drug discovery through machine learning

New technique speeds up calculations of drug molecules’ binding affinity to proteins.

Artificial intelligence that more closely mimics the mind

Leveraging years of MIT cognitive science research, Nara Logics incorporates findings about the brain into its AI platform.

Using artificial intelligence to generate 3D holograms in real-time

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.

Algorithm helps artificial intelligence systems dodge “adversarial” inputs

Method builds on gaming techniques to help autonomous vehicles navigate in the real world, where signals may be imperfect.

Retrofitting MIT’s deep learning “boot camp” for the virtual world

With technology new and old, instructors try to recreate the interactivity of their pre-Covid classroom.

A machine-learning approach to finding treatment options for Covid-19

Researchers develop a system to identify drugs that might be repurposed to fight the coronavirus in elderly patients.

A language learning system that pays attention — more efficiently than ever before

MIT researchers’ new hardware and software system streamlines state-of-the-art sentence analysis.

How the brain helps us remember what we’ve seen

Research finds that as one looks around, mental images bounce between right and left brain as they shift around in our visual system.

Examining the world through signals and systems

Assistant Professor Cathy Wu aims to help autonomous vehicles fulfill their promise by better understanding how to integrate them into the transportation system.

Robust artificial intelligence tools to predict future cancer 

Researchers created a risk-assessment algorithm that shows consistent performance across datasets from US, Europe, and Asia.

“Liquid” machine-learning system adapts to changing conditions

The new type of neural network could aid decision making in autonomous driving and medical diagnosis.

Design progresses for MIT Schwarzman College of Computing building on Vassar Street

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.

Designing customized “brains” for robots

A new system devises hardware architectures to hasten robots’ response time.

An intro to the fast-paced world of artificial intelligence

In two years, the MIT Quest for Intelligence has allowed hundreds of students to explore AI in its many applications.

James DiCarlo named director of the MIT Quest for Intelligence

Brain and cognitive sciences professor will lead the Institute’s interdisciplinary initiative to advance research in natural and artificial intelligence.

Model analyzes how viruses escape the immune system

Using this computational system, researchers can identify viral protein sequences that could make better vaccine targets.

Professor Antonio Torralba elected 2021 AAAI Fellow

EECS faculty head of artificial intelligence and decision making honored for significant and extended contributions to the field of AI.

Neuroscientists identify brain circuit that encodes timing of events

Findings suggest this hippocampal circuit helps us to maintain our timeline of memories.

Making smart thermostats more efficient

A smart thermostat quickly learns to optimize building microclimates for both energy consumption and user preference.

Want cheaper nuclear energy? Turn the design process into a game

Researchers show that deep reinforcement learning can be used to design more efficient nuclear reactors.

To the brain, reading computer code is not the same as reading language

Neuroscientists find that interpreting code activates a general-purpose brain network, but not language-processing centers.

Building machines that better understand human goals 

A new algorithm capable of inferring goals and plans could help machines better adapt to the imperfect nature of human planning. 

Model could help determine quarantine measures needed to reduce Covid-19’s spread

A key finding: Early reopening last spring led to a dramatic drop in “quarantine strength” in southern and west-central U.S. states.

Neuroscientists find a way to make object-recognition models perform better

Adding a module that mimics part of the brain can prevent common errors made by computer vision models.

Shrinking massive neural networks used to model language

A new approach could lower computing costs and increase accessibility to state-of-the-art natural language processing.

A hunger for social contact

Neuroscientists find that isolation provokes brain activity similar to that seen during hunger cravings.

MIT forum examines the rise of automation in the workplace

Technologies like robots and artificial intelligence could partner with humans, not oust them from work, research and business leaders say.

Why we shouldn’t fear the future of work

MIT task force wraps up with a final conference, sounds note of optimism that new ideas, better policies can help sustain good careers.

A neural network learns when it should not be trusted

A faster way to estimate uncertainty in AI-assisted decision-making could lead to safer outcomes.

Vibrations of coronavirus proteins may play a role in infection

Study suggests mechanical properties of spike proteins can predict infectivity and lethality of different coronaviruses.

Advancing artificial intelligence research

MIT Schwarzman College of Computing and the Singapore Defense Science and Technology Agency award funding to 13 AI-focused projects.

Report outlines route toward better jobs, wider prosperity

MIT Task Force on the Work of the Future identifies ways to align new technologies with durable careers.

System brings deep learning to “internet of things” devices

Advance could enable artificial intelligence on household appliances while enhancing data security and energy efficiency.

Algorithm reduces use of riskier antibiotics for UTIs

Machine learning model predicts probability that a particular urinary tract infection can be treated by specific antibiotics. 

Using machine learning to track the pandemic’s impact on mental health

Textual analysis of social media posts finds users’ anxiety and suicide-risk levels are rising, among other negative trends.

Scientists identify specific brain region and circuits controlling attention

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.

Testing sewage to home in on Covid-19

Letting an algorithm decide which maintenance holes to test for evidence of coronavirus could improve pandemic containment efforts.

Stressed on the job? An AI teammate may know how to help

Researchers are working toward intelligent machines that can sense cognitive fatigue and suggest interventions to help a human improve performance.

Translating lost languages using machine learning

System developed at MIT CSAIL aims to help linguists decipher languages that have been lost to history.

Bringing construction projects to the digital world

The startup OpenSpace is using 360-degree cameras and computer vision to create comprehensive digital replicas of construction sites.

A global collaboration to move artificial intelligence principles to practice

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.

Machine learning uncovers potential new TB drugs

Computational method for screening drug compounds can help predict which ones will work best against tuberculosis or other diseases.

Neuroscientists discover a molecular mechanism that allows memories to form

Modifications to chromosomes in “engram” neurons control the encoding and retrieval of memories.

How we make moral decisions

In some situations, asking “what if everyone did that?” is a common strategy for judging whether an action is right or wrong.

Anticipating heart failure with machine learning

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.

Milo Phillips-Brown receives inaugural MAC3 Society and Ethics in Computing Research Award

The award supports promising PhD candidates or postdocs conducting interdisciplinary research on the societal and ethical dimensions of computing.

Live imaging method brings structure to mapping brain function

Scientists distinguish brain regions based on what they do, but now have a new way to overlay information about how they are built.

Provably exact artificial intelligence for nuclear and particle physics

MIT-led team uses AI and machine learning to explore fundamental forces.

MIT undergraduates pursue research opportunities through the pandemic

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.

Helping robots avoid collisions

Realtime Robotics has created a controller that helps robots safely move around on the fly.

Rapid test for Covid-19 shows improved sensitivity

A CRISPR-based test developed at MIT and the Broad Institute can detect nearly as many cases as the standard Covid-19 diagnostic.

As information flows through brain’s heirarchy, higher regions use higher-frequency waves

Study also finds specific frequency bands of brain waves associated with encoding, or inhibiting encoding, of sensory information across the cortex.

Making health care more personal

The company Health at Scale uses machine learning to improve outcomes for individual patients.

Six strategic areas identified for shared faculty hiring in computing

New faculty in these areas will connect the MIT Schwarzman College of Computing and a department or school.

Toward a machine learning model that can reason about everyday actions

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.

Face-specific brain area responds to faces even in people born blind

Study finds that the fusiform face area is active when blind people touch 3D models of faces.

Real-time data for a better response to disease outbreaks

The startup Kinsa uses its smart thermometers to detect and track the spread of contagious illness before patients go to the hospital.

Rewriting the rules of machine-generated art

An artificial intelligence tool lets users edit generative adversarial network models with simple copy-and-paste commands.

Data systems that learn to be better

Storage tool developed at MIT CSAIL adapts to what its datasets’ users want to search.

Shrinking deep learning’s carbon footprint

Through innovation in software and hardware, researchers move to reduce the financial and environmental costs of modern artificial intelligence.

Key brain region was “recycled” as humans developed the ability to read

Part of the visual cortex dedicated to recognizing objects appears predisposed to identifying words and letters, a study finds.

An automated health care system that understands when to step in

Machine learning system from MIT CSAIL can look at chest X-rays to diagnose pneumonia — and also knows when to defer to a radiologist.

Algorithm finds hidden connections between paintings at the Met

A team from MIT helped create an image retrieval system to find the closest matches of paintings from different artists and cultures.

Looking into the black box

Recent advances give theoretical insight into why deep learning networks are successful.

A new way to control experimentation with dreams

Device not only helps record dream reports, but also guides dreams toward particular themes.

Faculty receive funding to develop artificial intelligence techniques to combat Covid-19 Digital Transformation Institute awards $5.4 million to top researchers to steer how society responds to the pandemic.

Universal musical harmony

Acoustic and biological constraints shape how we hear harmony across cultures.

What is the Covid-19 data tsunami telling policymakers?

A global team of researchers searches for insights during a weeklong virtual “datathon.”

Identifying a melody by studying a musician’s body language

Music gesture artificial intelligence tool developed at the MIT-IBM Watson AI Lab uses body movements to isolate the sounds of individual instruments.

Cynthia Breazeal named Media Lab associate director

Expert in personal social robots will work with lab faculty and researchers to develop strategic research initiatives, and to explore new funding mechanisms.

What jumps out in a photo changes the longer we look

Researchers capture our shifting gaze in a model that suggests how to prioritize visual information based on viewing duration.

Study sheds light on a classic visual illusion

Neuroscientists delve into how background brightness influences our perception of an object.

MIT, guided by open access principles, ends Elsevier negotiations

Institute ends negotiations for a new journals contract in the absence of a proposal aligning with the MIT Framework for Publisher Contracts.

Engineers put tens of thousands of artificial brain synapses on a single chip

The design could advance the development of small, portable AI devices.

Giving soft robots feeling

In a pair of papers from MIT CSAIL, two teams enable better sense and perception for soft robotic grippers.

Machine learning helps map global ocean communities

An MIT-developed technique could aid in tracking the ocean’s health and productivity.

Algorithm quickly simulates a roll of loaded dice

Approach for generating numbers at random may help analyses of complex systems, from Earth’s climate to financial markets.

Undergraduates develop next-generation intelligence tools

UROP students explore applications in robotics, health care, language understanding, and nuclear engineering.

Deep learning accurately stains digital biopsy slides

Pathologists who examined the computationally stained images could not tell them apart from traditionally stained slides.

Machine-learning tool could help develop tougher materials

Engineers develop a rapid screening system to test fracture resistance in billions of potential materials.

Marshaling artificial intelligence in the fight against Covid-19

The MIT-IBM Watson AI Lab is funding 10 research projects aimed at addressing the health and economic consequences of the pandemic.

Visualizing the world beyond the frame

Researchers test how far artificial intelligence models can go in dreaming up varied poses and colors of objects and animals in photos.

Study finds stronger links between automation and inequality

Job-replacing tech has directly driven the income gap since the late 1980s, economists report.

SHERLOCK-based one-step test provides rapid and sensitive Covid-19 detection

New CRISPR-based research tool delivers results in an hour; researchers share protocol and kits to advance research and move toward clinical validation.

Robots help some firms, even while workers across industries struggle

Study finds manufacturing companies that are quick to automate can thrive, but overall employment drops.

How many jobs do robots really replace?

MIT economist Daron Acemoglu’s new research puts a number on the job costs of automation.

A foolproof way to shrink deep learning models

​Researchers unveil a pruning algorithm to make artificial intelligence applications run faster.

Automating the search for entirely new “curiosity” algorithms

Researchers show that computers can “write” algorithms that adapt to radically different environments better than algorithms designed by humans.

Muscle signals can pilot a robot

CSAIL's Conduct-A-Bot system uses muscle signals to cue a drone’s movement, enabling more natural human-robot communication.

Reducing the carbon footprint of artificial intelligence

MIT system cuts the energy required for training and running neural networks.

Deploying more conversational chatbots

Startup Posh has created chatbots that use “conversational memory” to have more natural exchanges.

Model quantifies the impact of quarantine measures on Covid-19’s spread

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.

Reducing delays in wireless networks

Congestion control system could help streaming video, mobile games, and other applications run more smoothly.

Learning about artificial intelligence: A hub of MIT resources for K-12 students

New website offers a combination of learning units, hands-on activities, and mentor guides to foster AI literacy.

Neuroscientists find memory cells that help us interpret new situations

Neurons that store abstract representations of past experiences are activated when a new, similar event takes place.

Q&A: Markus Buehler on setting coronavirus and AI-inspired proteins to music

Translated into sound, SARS-CoV-2 tricks our ear in the same way the virus tricks our cells.

Engineers 3D print soft, rubbery brain implants

Technique may enable speedy, on-demand design of softer, safer neural devices.

Neural networks facilitate optimization in the search for new materials

Sorting through millions of possibilities, a search for battery materials delivered results in five weeks instead of 50 years.

“Inactive” pill ingredients could raise the dose of your medication

With help from artificial intelligence, researchers identify hidden power of vitamin A and ordinary chewing gum glaze.

3 Questions: Marion Boulicault and Milo Phillips-Brown on ethics in a technical curriculum

Philosophers are part of a team working on transforming technology ethics education at MIT.

How the brain encodes landmarks that help us navigate

Neuroscientists discover how a key brain region combines visual and spatial information to help us find our way.

The elephant in the server room

Catherine D'Ignazio's new book, Data Feminism, examines problems of bias and power that beset modern information.

“Doing machine learning the right way”

Professor Aleksander Madry strives to build machine-learning models that are more reliable, understandable, and robust.

A new model of vision

Computer model of face processing could reveal how the brain produces richly detailed visual representations so quickly.

Machine learning picks out hidden vibrations from earthquake data

Technique may help scientists more accurately map vast underground geologic structures.

To self-drive in the snow, look under the road

Weather’s a problem for autonomous cars. MIT’s new system shows promise by using “ground-penetrating radar” instead of cameras or lasers.

Bringing deep learning to life

MIT duo uses music, videos, and real-world examples to teach students the foundations of artificial intelligence.

A human-machine collaboration to defend against cyberattacks

PatternEx merges human and machine expertise to spot and respond to hacks.

Bringing artificial intelligence into the classroom, research lab, and beyond

Through the Undergraduate Research Opportunities Program, students work to build AI tools with impact.

Automated system can rewrite outdated sentences in Wikipedia articles

Text-generating tool pinpoints and replaces specific information in sentences while retaining humanlike grammar and style.

Bridging the gap between human and machine vision

Researchers develop a more robust machine-vision architecture by studying how human vision responds to changing viewpoints of objects.

Brainstorming energy-saving hacks on Satori, MIT’s new supercomputer

Three-day hackathon explores methods for making artificial intelligence faster and more sustainable.

Hey Alexa! Sorry I fooled you …

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.

A college for the computing age

With the initial organizational structure in place, the MIT Schwarzman College of Computing moves forward with implementation.

Demystifying artificial intelligence

Doctoral candidate Natalie Lao wants to show that anyone can learn to use AI to make a better world.

Technique reveals whether models of patient risk are accurate

Computer scientists’ new method could help doctors avoid ineffective or unnecessarily risky treatments.

Using artificial intelligence to enrich digital maps

Model tags road features based on satellite images, to improve GPS navigation in places with limited map data.

How well can computers connect symptoms to diseases?

Models that map these relationships based on patient data require fine-tuning for certain conditions, study shows.

“She” goes missing from presidential language

Even when people believed Hillary Clinton would win the 2016 election, they did not use “she” to refer to the next president.

Tool predicts how fast code will run on a chip

Machine-learning system should enable developers to improve computing efficiency in a range of applications.

Bringing artificial intelligence and MIT to middle school classrooms

MIT researchers and collaborators have developed an open-source curriculum to teach young students about ethics and artificial intelligence.

Finding a good read among billions of choices

As natural language processing techniques improve, suggestions are getting speedier and more relevant.

When machine learning packs an economic punch

Study: After eBay improved its translation software, international commerce increased sharply.

This object-recognition dataset stumped the world’s best computer vision models

Objects are posed in varied positions and shot at odd angles to spur new AI techniques.

Helping machines perceive some laws of physics

Model registers “surprise” when objects in a scene do something unexpected, which could be used to build smarter AI.

Bot can beat humans in multiplayer hidden-role games

Using deductive reasoning, the bot identifies friend or foe to ensure victory over humans in certain online games.

Students push to speed up artificial intelligence adoption in Latin America

To help the region catch up, students organize summit to bring Latin policymakers and researchers to MIT.

Predicting people’s driving personalities

System from MIT CSAIL sizes up drivers as selfish or selfless. Could this help self-driving cars navigate in traffic?

Visualizing an AI model’s blind spots

New tool highlights what generative models leave out when reconstructing a scene.

Autonomous system improves environmental sampling at sea

Robotic boats could more rapidly locate the most valuable sampling spots in uncharted waters.

Better autonomous “reasoning” at tricky intersections

Model alerts driverless cars when it’s safest to merge into traffic at intersections with obstructed views.

Technique helps robots find the front door

Navigation method may speed up autonomous last-mile delivery.

What makes an image memorable? Ask a computer

An artificial intelligence model developed at MIT shows in striking detail what makes some images stick in our minds.

Self-transforming robot blocks jump, spin, flip, and identify each other

Developed at MIT’s Computer Science and Artificial Intelligence Laboratory, robots can self-assemble to form various structures with applications including inspection.

Helping autonomous vehicles see around corners

By sensing tiny changes in shadows, a new system identifies approaching objects that may cause a collision.

Supercomputer analyzes web traffic across entire internet

Modeling web traffic could aid cybersecurity, computing infrastructure design, Internet policy, and more.

Pushy robots learn the fundamentals of object manipulation

Systems “learn” from novel dataset that captures how pushed objects move, to improve their physical interactions with new objects.

Deep learning with point clouds

Research aims to make it easier for self-driving cars, robotics, and other applications to understand the 3D world.

Recovering “lost dimensions” of images and video

Model could recreate video from motion-blurred images and “corner cameras,” may someday retrieve 3D data from 2D medical images.

Faster video recognition for the smartphone era

MIT and IBM researchers offer a new method to train and run deep learning models more efficiently.

New method visualizes groups of neurons as they compute

Fluorescent probe could allow scientists to watch circuits within the brain and link their activity to specific behaviors.

System helps smart devices find their position

Connected devices can now share position information, even in noisy, GPS-denied areas.

Lincoln Laboratory’s new artificial intelligence supercomputer is the most powerful at a university

TX-GAIA is tailor-made for crunching through deep neural network operations.

Josh Tenenbaum receives 2019 MacArthur Fellowship

Brain and cognitive sciences professor studies how the human mind is able to learn so rapidly.

Computing and the search for new planets

MIT planetary scientists partner with computer scientists to find exoplanets.

What a little more computing power can do

Commercial cloud service providers give artificial intelligence computing at MIT a boost.

Using machine learning to estimate risk of cardiovascular death

CSAIL system uses a patient's ECG signal to estimate potential for cardiovascular death.

Hearing through the clatter

Study reveals brain regions that respond differently to the presence of background noise, suggesting the brain progressively hones in on and isolates sounds.

MIT report examines how to make technology work for society

Task force calls for bold public and private action to harness technology for shared prosperity.

IBM gives artificial intelligence computing at MIT a lift

Nearly $12 million machine will let MIT researchers run more ambitious AI models.

Artificial intelligence could help data centers run far more efficiently

MIT system “learns” how to optimally allocate workloads across thousands of servers to cut costs, save energy.

A new way to deliver drugs with pinpoint targeting

Magnetic particles allow drugs to be released at precise times and in specific areas.

Boosting computing power for the future of particle physics

Prototype machine-learning technology co-developed by MIT scientists speeds processing by up to 175 times over traditional methods.

Guided by AI, robotic platform automates molecule manufacture

New system could free bench chemists from time-consuming tasks, may help inspire new molecules.

Automating artificial intelligence for medical decision-making

Model replaces the laborious process of annotating massive patient datasets by hand.

Why did my classifier just mistake a turtle for a rifle?

Two longtime friends explore how computer vision systems go awry.

Want to know what software-driven health care looks like? This class offers some clues.

A course that combines machine learning and health care explores the promise of applying artificial intelligence to medicine.

Professor Patrick Winston, former director of MIT’s Artificial Intelligence Laboratory, dies at 76

Beloved professor conducted pioneering research on imbuing machines with human-like intelligence, including the ability to understand stories.

Professor Emeritus Fernando Corbató, MIT computing pioneer, dies at 93

Longtime MIT professor developed early “time-sharing” operating systems and is widely credited as the creator of the world’s first computer password.

Artificial “muscles” achieve powerful pulling force

New MIT system of contracting fibers could be a boon for biomedical devices and robotics.

Teaching artificial intelligence to create visuals with more common sense

An MIT/IBM system could help artists and designers make quick tweaks to visuals while also helping researchers identify “fake” images.

Drag-and-drop data analytics

System lets nonspecialists use machine-learning models to make predictions for medical research, sales, and more.

New AI programming language goes beyond deep learning

General-purpose language works for computer vision, robotics, statistics, and more.

Translating proteins into music, and back

By turning molecular structures into sounds, researchers gain insight into protein structures and create new variations.

Want to learn how to train an artificial intelligence model? Ask a friend.

MIT Machine Intelligence Community introduces students to nuts and bolts of machine learning.

From one brain scan, more information for medical artificial intelligence

System helps machine-learning models glean training information for diagnosing and treating brain conditions.

Teaching artificial intelligence to connect senses like vision and touch

MIT CSAIL system can learn to see by touching and feel by seeing, suggesting future where robots can more easily grasp and recognize objects.

Toward artificial intelligence that learns to write code

Researchers combine deep learning and symbolic reasoning for a more flexible way of teaching computers to program.

Algorithm tells robots where nearby humans are headed

A new tool for predicting a person’s movement trajectory may help humans and robots work together in close proximity.

Neurons’ “antennae” are unexpectedly active in neural computation

Tiny, branching extensions called dendrites may be more than just passive information-carriers, study finds.

Chip design drastically reduces energy needed to compute with light

Simulations suggest photonic chip could run optical neural networks 10 million times more efficiently than its electrical counterparts.

A 3-D printer powered by machine vision and artificial intelligence

MIT startup Inkbit is overcoming traditional constraints to 3-D printing by giving its machines “eyes and brains.”

Cracking open the black box of automated machine learning

Interactive tool lets users see and control how automated model searches work.

Q&A: Phillip Isola on the art and science of generative models

Image-translation pioneer discusses the past, present, and future of generative adversarial networks, or GANs.

Teaching language models grammar really does make them smarter

Researchers submit deep learning models to a set of psychology tests to see which ones grasp key linguistic rules.

Sensor-packed glove learns signatures of the human grasp

Signals help neural network identify objects by touch; system could aid robotics and prosthetics design.

3 Questions: The social implications and responsibilities of computing

In helping envision the MIT Schwarzman College of Computing, working group is focusing on ethical and societal questions.

3 Questions: Faculty appointments and the MIT Schwarzman College of Computing

Working group studies options for creating a new set of faculty hires for MIT’s new college.

Developing artificial intelligence tools for all

MIT Quest for Intelligence-sponsored undergraduate research projects demystify AI.

Bringing human-like reasoning to driverless car navigation

Autonomous control system “learns” to use simple maps and image data to navigate new, complex routes.

How we make complex decisions

Neuroscientists identify a brain circuit that helps break decisions down into smaller pieces.

Artificial intelligence shines light on the dark web

New tools can find patterns in vast online data to track and identify users on illicit forums.

How to tell whether machine-learning systems are robust enough for the real world

New method quickly detects instances when neural networks make mistakes they shouldn’t.

Painting a fuller picture of how antibiotics kill

Machine learning reveals metabolic pathways disrupted by the drugs, offering new targets to combat resistance.

Wireless movement-tracking system could collect health and behavioral data

In some cases, radio frequency signals may be more useful for caregivers than cameras or other data-collection methods.

Using AI to predict breast cancer and personalize care

MIT/MGH's image-based deep learning model can predict breast cancer up to five years in advance.

Smarter training of neural networks

MIT CSAIL project shows the neural nets we typically train contain smaller “subnetworks” that can learn just as well, and often faster.

Merging cell datasets, panorama style

Algorithm stitches multiple datasets into a single “panorama,” which could provide new insights for medical and biological studies.

Putting vision models to the test

Study shows that artificial neural networks can be used to drive brain activity.

New approach could accelerate efforts to catalogue vast numbers of cells

Data-sampling method makes “sketches” of unwieldy biological datasets while still capturing the full diversity of cell types.

A comprehensive map of how Alzheimer’s affects the brain

Analysis of genes altered by the disease could provide targets for new treatments.

J-Clinic names 18 grant recipients from across Institute

Projects will develop new AI technologies that detect and prevent diseases.