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

C3.ai 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.

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.