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.

Liberty Mutual Insurance joins MIT’s Quest for Intelligence

Company announces $25 million, five-year collaboration.

For better deep neural network vision, just add feedback (loops)

The DiCarlo lab finds that a recurrent architecture helps both artificial intelligence and our brains to better identify objects.

Neuroscientists reverse some behavioral symptoms of Williams Syndrome

Mouse study yields insights into the rare condition, may shed light on other neurological disorders.

Can science writing be automated?

A neural network can read scientific papers and render a plain-English summary.

Vivienne Sze wins Edgerton Faculty Award

EECS faculty member is recognized for technical innovation, educational excellence, and efforts to advance women and under-represented minorities in her field.

Giving robots a better feel for object manipulation

Model improves a robot’s ability to mold materials into shapes and interact with liquids and solid objects.

3 Questions: Provost Martin Schmidt on building a new college

Working groups of faculty, students, staff are meeting regularly to develop ideas for the MIT Schwarzman College of Computing.

The future of agriculture is computerized

Machine learning can reveal optimal growing conditions to maximize taste and other features.

Machine learning moves popular data elements into a bucket of their own

Counting search queries isn’t easy, but MIT CSAIL’s new LearnedSketch system for “frequency-estimation” aims to help.

Teaching machines to reason about what they see

Researchers combine statistical and symbolic artificial intelligence techniques to speed learning and improve transparency.

Model learns how individual amino acids determine protein function

Technique could improve machine-learning tasks in protein design, drug testing, and other applications.

What’s in a face?

McGovern Institute researchers find that the brain starts to register gender and age before recognizing a face.

Kicking neural network automation into high gear

Algorithm designs optimized machine-learning models up to 200 times faster than traditional methods.

“Particle robot” works as a cluster of simple units

Loosely connected disc-shaped “particles” can push and pull one another, moving en masse to transport objects.

Using machine learning for medical solutions

Master’s student and Marshall Scholar Kyle Swanson uses computer science to help make drug development more efficient.

Brain wave stimulation may improve Alzheimer’s symptoms

Noninvasive treatment improves memory and reduces amyloid plaques in mice.

How the brain distinguishes between objects

Study shows that a brain region called the inferotemporal cortex is key to differentiating bears from chairs.

Combining artificial intelligence with their passions

Research projects show creative ways MIT students are connecting computing to other fields.

Computing the future

Fireside chat brings together six Turing Award winners to reflect on their field and the MIT Stephen A. Schwarzman College of Computing.

Addressing the promises and challenges of AI

Final day of the MIT Schwarzman College of Computing celebration explores enthusiasm, caution about AI’s rising prominence in society.

For founders of new college of computing, the human element is paramount

Stephen A. Schwarzman and MIT President L. Rafael Reif discuss the Institute’s historic new endeavor.

The future of education in a world of pervasive computing

Conference celebrating new MIT Schwarzman College of Computing explores the changing face of higher ed.

Taking the lead in shaping the future of computing and artificial intelligence

Popular expo highlights student creativity and ambition as celebration of the MIT Schwarzman College of Computing gets underway.

Student challenges kick off celebration of MIT Stephen A. Schwarzman College of Computing

“We see an incredible future where the College of Computing channels the collaborative potential of disciplines,” says grad student Matthew Claudel.

Oxygen-tracking method could improve diabetes treatment

Measurements could help scientists develop better designs for a bioartificial pancreas.

Exploring the nature of intelligence

Undergraduate research projects show how students are advancing research in human and artificial intelligence, and applying intelligence tools to other disciplines.

Dan Huttenlocher named inaugural dean of MIT Schwarzman College of Computing

Alumnus and founding dean of Cornell Tech in New York City will return to MIT this summer.

3Q: Machine learning and climate modeling

As machine learning expands into climate modeling, EAPS Associate Professor Paul O’Gorman answers what that looks like and why it's important now.

Using artificial intelligence to engineer materials’ properties

New system of “strain engineering” can change a material’s optical, electrical, and thermal properties.

3Q: Hamsa Balakrishnan on reimagining the future of transportation

MIT associate professor of aeronautics and astronautics describes the seamless flow of people, things, and materials.

President Reif calls for federal funding, focused education to address “opportunity and threat” of AI

In Financial Times op-ed, MIT president says higher education must teach students to be “AI bilingual.”

Peering under the hood of fake-news detectors

Study uncovers language patterns that AI models link to factual and false articles; underscores need for further testing.

New collaboration sparks global connections to art through artificial intelligence

MIT designers, researchers, and students collaborate with The Metropolitan Museum of Art and Microsoft to improve the connection between people and art.

MIMIC Chest X-Ray database to provide researchers access to over 350,000 patient radiographs

A new database of images could pave a path for algorithmic models that ensure accurate diagnoses of conditions like pneumonia.

Putting neural networks under the microscope

Researchers pinpoint the “neurons” in machine-learning systems that capture specific linguistic features during language-processing tasks.

MIT robot combines vision and touch to learn the game of Jenga

Machine-learning approach could help robots assemble cellphones and other small parts in a manufacturing line.

Engineers program marine robots to take calculated risks

Algorithm could help autonomous underwater vehicles explore risky but scientifically-rewarding environments.

Learning to teach to speed up learning

An algorithm that teaches robot agents how to exchange advice to complete a task helps them learn faster.

Filling the gaps in a patient’s medical data

Neural network assimilates multiple types of health data to help doctors make decisions with incomplete information.

Identifying artificial intelligence “blind spots”

Model identifies instances when autonomous systems have learned from examples that may cause dangerous errors in the real world.

AI, the law, and our future

MIT “Policy Congress” examines the complex terrain of artificial intelligence regulation.

Democratizing artificial intelligence in health care

Hackathons promote doctor-data scientist collaboration and expanded access to electronic medical-records to improve patient care.

Mapping the brain at high resolution

New 3-D imaging technique can reveal, much more quickly than other methods, how neurons connect throughout the brain.

Fortifying the future of cryptography

Vinod Vaikuntanathan aims to improve encryption in a world with growing applications and evolving adversaries.

Brain study finds circuits that may help you keep your cool

Research by neuroscientists at MIT’s Picower Institute for Learning and Memory helps explain how the brain regulates arousal.

Democratizing data science

Tool for nonstatisticians automatically generates models that glean insights from complex datasets.

Scope advance gives first look through all cortical layers of the awake brain

Substantial refinements of three-photon microscopy allow for novel discoveries in neuroscience.

Josh Tenenbaum named Innovator of the Year by R&D Magazine

Professor honored for work on the nature and origins of intelligence in the human mind and applying that knowledge to build human-like intelligence in machines.

Building site identified for MIT Stephen A. Schwarzman College of Computing

Headquarters would replace Building 44, forming an “entrance to computing” near the intersection of Vassar and Main streets.

Mapping the brain, cell by cell

Technique for preserving tissue allows researchers to create maps of neural circuits with single-cell resolution.

3Q: Aleksander Madry on building trustworthy artificial intelligence

A recent MIT symposium explores methods for making artificial intelligence systems more reliable, secure, and transparent.

How returning to a prior context aids memory recall

Picower Institute researchers discover the brain mechanism that helps details come flooding back when you visit a scene again.

Deep-learning technique reveals “invisible” objects in the dark

Method could illuminate features of biological tissues in low-exposure images.

Reproducing paintings that make an impression

CSAIL's new RePaint system aims to faithfully recreate your favorite paintings using deep learning and 3-D printing.

Student group explores the ethical dimensions of artificial intelligence

MIT AI Ethics Reading Group was founded by students who saw firsthand how technology developed with good intentions could be problematic.

How the brain switches between different sets of rules

When you slow down after exiting the highway, or hush your voice in the library, you’re using this brain mechanism.

I think, therefore I code

Senior Jessy Lin, a double major in EECS and philosophy, is programming for social good.

Artificial intelligence summit adresses impact of technology on jobs and global economy

Speakers at the summit included Massachusetts Secretary of Labor Rosalin Acosta and former Google chairman Eric Schmidt.

The many interfaces of computing

A roundup of MIT student research projects offers a glimpse of where computing is going next.

Brain activity pattern may be early sign of schizophrenia

In a study that might enable earlier diagnosis, neuroscientists find abnormal brain connections that can predict onset of psychotic episodes.

Dopamine primes the brain for enhanced vigilance

Neuroscientists discover a circuit that helps redirect attention to focus on potential threats.

Machine-learning system could aid critical decisions in sepsis care

Model predicts whether ER patients suffering from sepsis urgently need a change in therapy.

Machines that learn language more like kids do

Computer model could improve human-machine interaction, provide insight into how children learn language.

Model paves way for faster, more efficient translations of more languages

New system may open up the world’s roughly 7,000 spoken languages to computer-based translation.

Meeting of the Minds

Mahdi Ramadan and Alexi Choueiri’s common experiences as Lebanese evacuees led both to study the human brain at MIT.

Q&A: Climate change, tough tech startups, and the future of energy intelligence

MIT Energy Initiative Director Robert Armstrong offers his perspective on the takeaways from MITEI’s annual research conference.

How should autonomous vehicles be programmed?

Massive global survey reveals ethics preferences and regional differences.

Cryptographic protocol enables greater collaboration in drug discovery

Neural network that securely finds potential drugs could encourage large-scale pooling of sensitive data.

Electrical properties of dendrites help explain our brain’s unique computing power

Neurons in human and rat brains carry electrical signals in different ways, scientists find.

Tang family gift supports MIT.nano, MIT Quest for Intelligence

$20 million gift names imaging suite in new facility, creates catalyst fund.

Automated system identifies dense tissue, a risk factor for breast cancer, in mammograms

Deep-learning model has been used successfully on patients, may lead to more consistent screening procedures.

MIT reshapes itself to shape the future

Gift of $350 million establishes the MIT Stephen A. Schwarzman College of Computing, an unprecedented, $1 billion commitment to world-changing breakthroughs and their ethical application.

Ideas abound at Quest for Intelligence workshop

Community event generates ideas for sparking innovative and ambitious plans to advance research in human and machine intelligence.

Software finds the best way to stick a Mars landing

Program users can tinker with landing and path planning scenarios to identify optimal landing sites for Mars rovers.

3Q: Antonio Torralba on what’s next for the Quest for Intelligence

Inaugural director of The Quest discusses what's been accomplished since last spring's launch and what is on the horizon.

Science as the foundation and future of artificial intelligence

Inspired by its tradition of leadership in the fields of artificial intelligence and biological intelligence, MIT has established new Institute-wide efforts committed to the convergence of science and engineering on the problem of intelligence.

Abdul Latif Jameel Clinic for Machine Learning in Health at MIT aims to revolutionize disease prevention, detection, and treatment

A key part of the MIT Quest for Intelligence, J-Clinic builds on MIT expertise across multiple scientific disciplines.

Helping computers fill in the gaps between video frames

Machine learning system efficiently recognizes activities by observing how objects change in only a few key frames.

MIT undergraduates to embark on The Quest

Up to 100 Quest-funded UROP projects aim to crack the code of human and machine intelligence.

Model can more naturally detect depression in conversations

Neural network learns speech patterns that predict depression in clinical interviews.

Model improves prediction of mortality risk in ICU patients

By training on patients grouped by health status, neural network can better estimate if patients will die in the hospital.

MIT-SenseTime Alliance funds projects from all five schools

Interdisciplinary work will advance research in human and machine intelligence.

MIT announces leadership of its Quest for Intelligence

Faculty from across the Institute tapped to lead new initiative in human and machine intelligence.

AI-based method could speed development of specialized nanoparticles

Neural network could expedite complex physics simulations.

Artificial intelligence in action

At the MIT-IBM Watson AI Lab, researchers are training computers to recognize dynamic events.

MIT and SenseTime announce effort to advance artificial intelligence research

Alliance will be part of new MIT Intelligence Quest.