Storage tool developed at MIT CSAIL adapts to what its datasets’ users want to search.
Through innovation in software and hardware, researchers move to reduce the financial and environmental costs of modern artificial intelligence.
Part of the visual cortex dedicated to recognizing objects appears predisposed to identifying words and letters, a study finds.
Machine learning system from MIT CSAIL can look at chest X-rays to diagnose pneumonia — and also knows when to defer to a radiologist.
A team from MIT helped create an image retrieval system to find the closest matches of paintings from different artists and cultures.
Recent advances give theoretical insight into why deep learning networks are successful.
Device not only helps record dream reports, but also guides dreams toward particular themes.
C3.ai Digital Transformation Institute awards $5.4 million to top researchers to steer how society responds to the pandemic.
Acoustic and biological constraints shape how we hear harmony across cultures.
A global team of researchers searches for insights during a weeklong virtual “datathon.”
Music gesture artificial intelligence tool developed at the MIT-IBM Watson AI Lab uses body movements to isolate the sounds of individual instruments.
Expert in personal social robots will work with lab faculty and researchers to develop strategic research initiatives, and to explore new funding mechanisms.
Researchers capture our shifting gaze in a model that suggests how to prioritize visual information based on viewing duration.
Neuroscientists delve into how background brightness influences our perception of an object.
Institute ends negotiations for a new journals contract in the absence of a proposal aligning with the MIT Framework for Publisher Contracts.
The design could advance the development of small, portable AI devices.
In a pair of papers from MIT CSAIL, two teams enable better sense and perception for soft robotic grippers.
An MIT-developed technique could aid in tracking the ocean’s health and productivity.
Approach for generating numbers at random may help analyses of complex systems, from Earth’s climate to financial markets.
UROP students explore applications in robotics, health care, language understanding, and nuclear engineering.
Pathologists who examined the computationally stained images could not tell them apart from traditionally stained slides.
Engineers develop a rapid screening system to test fracture resistance in billions of potential materials.
The MIT-IBM Watson AI Lab is funding 10 research projects aimed at addressing the health and economic consequences of the pandemic.
Researchers test how far artificial intelligence models can go in dreaming up varied poses and colors of objects and animals in photos.
Job-replacing tech has directly driven the income gap since the late 1980s, economists report.
New CRISPR-based research tool delivers results in an hour; researchers share protocol and kits to advance research and move toward clinical validation.
Study finds manufacturing companies that are quick to automate can thrive, but overall employment drops.
MIT economist Daron Acemoglu’s new research puts a number on the job costs of automation.
Researchers unveil a pruning algorithm to make artificial intelligence applications run faster.
Researchers show that computers can “write” algorithms that adapt to radically different environments better than algorithms designed by humans.
CSAIL's Conduct-A-Bot system uses muscle signals to cue a drone’s movement, enabling more natural human-robot communication.
MIT system cuts the energy required for training and running neural networks.
Startup Posh has created chatbots that use “conversational memory” to have more natural exchanges.
A machine learning algorithm combines data on the disease's spread with a neural network, to help predict when infections will slow down in each country.
Congestion control system could help streaming video, mobile games, and other applications run more smoothly.
New website offers a combination of learning units, hands-on activities, and mentor guides to foster AI literacy.
Neurons that store abstract representations of past experiences are activated when a new, similar event takes place.
Translated into sound, SARS-CoV-2 tricks our ear in the same way the virus tricks our cells.
Technique may enable speedy, on-demand design of softer, safer neural devices.
Sorting through millions of possibilities, a search for battery materials delivered results in five weeks instead of 50 years.
With help from artificial intelligence, researchers identify hidden power of vitamin A and ordinary chewing gum glaze.
Philosophers are part of a team working on transforming technology ethics education at MIT.
Neuroscientists discover how a key brain region combines visual and spatial information to help us find our way.
Catherine D'Ignazio's new book, Data Feminism, examines problems of bias and power that beset modern information.
Professor Aleksander Madry strives to build machine-learning models that are more reliable, understandable, and robust.
Computer model of face processing could reveal how the brain produces richly detailed visual representations so quickly.
Technique may help scientists more accurately map vast underground geologic structures.
Weather’s a problem for autonomous cars. MIT’s new system shows promise by using “ground-penetrating radar” instead of cameras or lasers.
MIT duo uses music, videos, and real-world examples to teach students the foundations of artificial intelligence.
PatternEx merges human and machine expertise to spot and respond to hacks.
Through the Undergraduate Research Opportunities Program, students work to build AI tools with impact.
Text-generating tool pinpoints and replaces specific information in sentences while retaining humanlike grammar and style.
Researchers develop a more robust machine-vision architecture by studying how human vision responds to changing viewpoints of objects.
Three-day hackathon explores methods for making artificial intelligence faster and more sustainable.
MIT’s new system TextFooler can trick the types of natural-language-processing systems that Google uses to help power its search results, including audio for Google Home.
With the initial organizational structure in place, the MIT Schwarzman College of Computing moves forward with implementation.
Doctoral candidate Natalie Lao wants to show that anyone can learn to use AI to make a better world.
Computer scientists’ new method could help doctors avoid ineffective or unnecessarily risky treatments.
Model tags road features based on satellite images, to improve GPS navigation in places with limited map data.
Models that map these relationships based on patient data require fine-tuning for certain conditions, study shows.
Even when people believed Hillary Clinton would win the 2016 election, they did not use “she” to refer to the next president.
Machine-learning system should enable developers to improve computing efficiency in a range of applications.
MIT researchers and collaborators have developed an open-source curriculum to teach young students about ethics and artificial intelligence.
As natural language processing techniques improve, suggestions are getting speedier and more relevant.
Study: After eBay improved its translation software, international commerce increased sharply.
Objects are posed in varied positions and shot at odd angles to spur new AI techniques.
Model registers “surprise” when objects in a scene do something unexpected, which could be used to build smarter AI.
Using deductive reasoning, the bot identifies friend or foe to ensure victory over humans in certain online games.
To help the region catch up, students organize summit to bring Latin policymakers and researchers to MIT.
System from MIT CSAIL sizes up drivers as selfish or selfless. Could this help self-driving cars navigate in traffic?
New tool highlights what generative models leave out when reconstructing a scene.
Robotic boats could more rapidly locate the most valuable sampling spots in uncharted waters.
Model alerts driverless cars when it’s safest to merge into traffic at intersections with obstructed views.
Navigation method may speed up autonomous last-mile delivery.
An artificial intelligence model developed at MIT shows in striking detail what makes some images stick in our minds.
Developed at MIT’s Computer Science and Artificial Intelligence Laboratory, robots can self-assemble to form various structures with applications including inspection.
By sensing tiny changes in shadows, a new system identifies approaching objects that may cause a collision.
Modeling web traffic could aid cybersecurity, computing infrastructure design, Internet policy, and more.
Systems “learn” from novel dataset that captures how pushed objects move, to improve their physical interactions with new objects.
Research aims to make it easier for self-driving cars, robotics, and other applications to understand the 3D world.
Model could recreate video from motion-blurred images and “corner cameras,” may someday retrieve 3D data from 2D medical images.
MIT and IBM researchers offer a new method to train and run deep learning models more efficiently.
Fluorescent probe could allow scientists to watch circuits within the brain and link their activity to specific behaviors.
Connected devices can now share position information, even in noisy, GPS-denied areas.
TX-GAIA is tailor-made for crunching through deep neural network operations.
Brain and cognitive sciences professor studies how the human mind is able to learn so rapidly.
MIT planetary scientists partner with computer scientists to find exoplanets.
Commercial cloud service providers give artificial intelligence computing at MIT a boost.
CSAIL system uses a patient's ECG signal to estimate potential for cardiovascular death.
Study reveals brain regions that respond differently to the presence of background noise, suggesting the brain progressively hones in on and isolates sounds.
Task force calls for bold public and private action to harness technology for shared prosperity.
Nearly $12 million machine will let MIT researchers run more ambitious AI models.
MIT system “learns” how to optimally allocate workloads across thousands of servers to cut costs, save energy.
Magnetic particles allow drugs to be released at precise times and in specific areas.
Prototype machine-learning technology co-developed by MIT scientists speeds processing by up to 175 times over traditional methods.
New system could free bench chemists from time-consuming tasks, may help inspire new molecules.
Model replaces the laborious process of annotating massive patient datasets by hand.
Two longtime friends explore how computer vision systems go awry.
A course that combines machine learning and health care explores the promise of applying artificial intelligence to medicine.
Beloved professor conducted pioneering research on imbuing machines with human-like intelligence, including the ability to understand stories.
Longtime MIT professor developed early “time-sharing” operating systems and is widely credited as the creator of the world’s first computer password.
New MIT system of contracting fibers could be a boon for biomedical devices and robotics.
An MIT/IBM system could help artists and designers make quick tweaks to visuals while also helping researchers identify “fake” images.
System lets nonspecialists use machine-learning models to make predictions for medical research, sales, and more.
General-purpose language works for computer vision, robotics, statistics, and more.
By turning molecular structures into sounds, researchers gain insight into protein structures and create new variations.
MIT Machine Intelligence Community introduces students to nuts and bolts of machine learning.
System helps machine-learning models glean training information for diagnosing and treating brain conditions.
MIT CSAIL system can learn to see by touching and feel by seeing, suggesting future where robots can more easily grasp and recognize objects.
Researchers combine deep learning and symbolic reasoning for a more flexible way of teaching computers to program.
A new tool for predicting a person’s movement trajectory may help humans and robots work together in close proximity.
Tiny, branching extensions called dendrites may be more than just passive information-carriers, study finds.
Simulations suggest photonic chip could run optical neural networks 10 million times more efficiently than its electrical counterparts.
MIT startup Inkbit is overcoming traditional constraints to 3-D printing by giving its machines “eyes and brains.”
Interactive tool lets users see and control how automated model searches work.
Image-translation pioneer discusses the past, present, and future of generative adversarial networks, or GANs.
Researchers submit deep learning models to a set of psychology tests to see which ones grasp key linguistic rules.
Signals help neural network identify objects by touch; system could aid robotics and prosthetics design.
In helping envision the MIT Schwarzman College of Computing, working group is focusing on ethical and societal questions.
Working group studies options for creating a new set of faculty hires for MIT’s new college.
MIT Quest for Intelligence-sponsored undergraduate research projects demystify AI.
Autonomous control system “learns” to use simple maps and image data to navigate new, complex routes.
Neuroscientists identify a brain circuit that helps break decisions down into smaller pieces.
New tools can find patterns in vast online data to track and identify users on illicit forums.
New method quickly detects instances when neural networks make mistakes they shouldn’t.
Machine learning reveals metabolic pathways disrupted by the drugs, offering new targets to combat resistance.
In some cases, radio frequency signals may be more useful for caregivers than cameras or other data-collection methods.
MIT/MGH's image-based deep learning model can predict breast cancer up to five years in advance.
MIT CSAIL project shows the neural nets we typically train contain smaller “subnetworks” that can learn just as well, and often faster.
Algorithm stitches multiple datasets into a single “panorama,” which could provide new insights for medical and biological studies.
Study shows that artificial neural networks can be used to drive brain activity.
Data-sampling method makes “sketches” of unwieldy biological datasets while still capturing the full diversity of cell types.
Analysis of genes altered by the disease could provide targets for new treatments.
Projects will develop new AI technologies that detect and prevent diseases.
Company announces $25 million, five-year collaboration.
The DiCarlo lab finds that a recurrent architecture helps both artificial intelligence and our brains to better identify objects.
Mouse study yields insights into the rare condition, may shed light on other neurological disorders.
A neural network can read scientific papers and render a plain-English summary.
EECS faculty member is recognized for technical innovation, educational excellence, and efforts to advance women and under-represented minorities in her field.
Model improves a robot’s ability to mold materials into shapes and interact with liquids and solid objects.
Working groups of faculty, students, staff are meeting regularly to develop ideas for the MIT Schwarzman College of Computing.
Machine learning can reveal optimal growing conditions to maximize taste and other features.
Counting search queries isn’t easy, but MIT CSAIL’s new LearnedSketch system for “frequency-estimation” aims to help.
Researchers combine statistical and symbolic artificial intelligence techniques to speed learning and improve transparency.
Technique could improve machine-learning tasks in protein design, drug testing, and other applications.
McGovern Institute researchers find that the brain starts to register gender and age before recognizing a face.
Algorithm designs optimized machine-learning models up to 200 times faster than traditional methods.
Loosely connected disc-shaped “particles” can push and pull one another, moving en masse to transport objects.
Master’s student and Marshall Scholar Kyle Swanson uses computer science to help make drug development more efficient.
Noninvasive treatment improves memory and reduces amyloid plaques in mice.
Study shows that a brain region called the inferotemporal cortex is key to differentiating bears from chairs.
Research projects show creative ways MIT students are connecting computing to other fields.
Fireside chat brings together six Turing Award winners to reflect on their field and the MIT Stephen A. Schwarzman College of Computing.
Final day of the MIT Schwarzman College of Computing celebration explores enthusiasm, caution about AI’s rising prominence in society.
Stephen A. Schwarzman and MIT President L. Rafael Reif discuss the Institute’s historic new endeavor.
Conference celebrating new MIT Schwarzman College of Computing explores the changing face of higher ed.
Popular expo highlights student creativity and ambition as celebration of the MIT Schwarzman College of Computing gets underway.
“We see an incredible future where the College of Computing channels the collaborative potential of disciplines,” says grad student Matthew Claudel.
Measurements could help scientists develop better designs for a bioartificial pancreas.
Undergraduate research projects show how students are advancing research in human and artificial intelligence, and applying intelligence tools to other disciplines.
Alumnus and founding dean of Cornell Tech in New York City will return to MIT this summer.
As machine learning expands into climate modeling, EAPS Associate Professor Paul O’Gorman answers what that looks like and why it's important now.
New system of “strain engineering” can change a material’s optical, electrical, and thermal properties.
MIT associate professor of aeronautics and astronautics describes the seamless flow of people, things, and materials.
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.”
Study uncovers language patterns that AI models link to factual and false articles; underscores need for further testing.
MIT designers, researchers, and students collaborate with The Metropolitan Museum of Art and Microsoft to improve the connection between people and art.
A new database of images could pave a path for algorithmic models that ensure accurate diagnoses of conditions like pneumonia.
Researchers pinpoint the “neurons” in machine-learning systems that capture specific linguistic features during language-processing tasks.
Machine-learning approach could help robots assemble cellphones and other small parts in a manufacturing line.
Algorithm could help autonomous underwater vehicles explore risky but scientifically-rewarding environments.
An algorithm that teaches robot agents how to exchange advice to complete a task helps them learn faster.
Neural network assimilates multiple types of health data to help doctors make decisions with incomplete information.
Model identifies instances when autonomous systems have learned from examples that may cause dangerous errors in the real world.
MIT “Policy Congress” examines the complex terrain of artificial intelligence regulation.
Hackathons promote doctor-data scientist collaboration and expanded access to electronic medical-records to improve patient care.
New 3-D imaging technique can reveal, much more quickly than other methods, how neurons connect throughout the brain.
Vinod Vaikuntanathan aims to improve encryption in a world with growing applications and evolving adversaries.
Research by neuroscientists at MIT’s Picower Institute for Learning and Memory helps explain how the brain regulates arousal.
Tool for nonstatisticians automatically generates models that glean insights from complex datasets.
Substantial refinements of three-photon microscopy allow for novel discoveries in neuroscience.
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.
Headquarters would replace Building 44, forming an “entrance to computing” near the intersection of Vassar and Main streets.
Technique for preserving tissue allows researchers to create maps of neural circuits with single-cell resolution.
A recent MIT symposium explores methods for making artificial intelligence systems more reliable, secure, and transparent.
Picower Institute researchers discover the brain mechanism that helps details come flooding back when you visit a scene again.
Method could illuminate features of biological tissues in low-exposure images.
CSAIL's new RePaint system aims to faithfully recreate your favorite paintings using deep learning and 3-D printing.
MIT AI Ethics Reading Group was founded by students who saw firsthand how technology developed with good intentions could be problematic.
When you slow down after exiting the highway, or hush your voice in the library, you’re using this brain mechanism.
Senior Jessy Lin, a double major in EECS and philosophy, is programming for social good.
Speakers at the summit included Massachusetts Secretary of Labor Rosalin Acosta and former Google chairman Eric Schmidt.
A roundup of MIT student research projects offers a glimpse of where computing is going next.
In a study that might enable earlier diagnosis, neuroscientists find abnormal brain connections that can predict onset of psychotic episodes.
Neuroscientists discover a circuit that helps redirect attention to focus on potential threats.
Model predicts whether ER patients suffering from sepsis urgently need a change in therapy.
Computer model could improve human-machine interaction, provide insight into how children learn language.
New system may open up the world’s roughly 7,000 spoken languages to computer-based translation.
Mahdi Ramadan and Alexi Choueiri’s common experiences as Lebanese evacuees led both to study the human brain at MIT.
MIT Energy Initiative Director Robert Armstrong offers his perspective on the takeaways from MITEI’s annual research conference.