MIT researchers have developed an automated AI system for training and running certain neural networks that also cuts down the pounds of carbon emissions involved.
An MIT research team has developed a method to “recruit” neighboring quantum bits that may help researchers scale up quantum computing devices.
MIT Professor Aleksander Madry strives to build machine-learning models that are more reliable, understandable and robust.
MIT researchers have invented a way to integrate “breadboards” — flat platforms used for electronics prototyping to quickly test circuit functions and user interactions with products such as smart devices and flexible electronics.
MIT researchers have invented a cryptographic ID tag that’s small enough to fit on virtually any product and verify its authenticity, which could help stop supply chain counterfeiting.
MIT researchers have developed flexible sensors and an artificial intelligence model that tell deformable robots how their bodies are positioned in a 3D environment.
MIT researchers have invented a machine-learning tool called Ithemal, which predicts how fast computer chips will execute code from various applications.
MIT researchers have designed a model that demonstrates an understanding of some basic “intuitive physics” about how objects should behave, which could improve artificial intelligence.
MIT researchers have found a way top optimize soft robots to perform specific tasks with a new model that make their bodies flexible.
MIT and Toyota researchers have designed a model designed to help autonomous vehicles determine when it’s safe to merge into traffic when the view is obstructed.
Researchers at MIT have developed a system where robots “learn” from a dataset called Omnipush that captures how pushed objects move to improve their physical interactions with new objects.
A system developed by MIT researchers helps networks of smart devices cooperate to find their positions in noisy environments where GPS usually fails, which could be helpful in supply chain monitoring, autonomous navigation and more.
MIT researchers have fabricated a diamond-based quantum sensor on a silicon chip. The advance, called a nitrogen-vacancy (NV) center, could pave the way toward low-cost, scalable hardware for quantum computing, sensing, and communication.
MIT researchers have developed an approach that harnesses the same fabrication processes used for silicon chips, offers key advance toward next-generation computers.
A submerged system developed by MIT researchers uses the vibration of piezoelectric materials to generate power and send and receive data.
MIT researchers have developed an automated system that designs and 3-D prints robotic actuators, which are optimized and automatically created, which is almost impossible for a human to do.
MIT researchers have developed a system that lets nonspecialists use machine-learning (ML) models to make predictions for medical research, sales, and more.
An MIT-developed cryptographic system, Fiat Cryptography, is helping better protect a user's data and better secure websites by automatically generating optimized cryptography code that’s usually written by hand.
MIT researchers have developed a photonic chip that uses light instead of electricity and is process massive neural networks more efficiently.
MIT researchers have developed a scalable tactile glove (STAG) designed to help a neural network identify objects by touch, which could aid robotics and prosthetics design.
MIT researchers have developed an autonomous control system that “learns” the steering patterns of human drivers as they navigate roads in a small area, using only data from video camera feeds and a simple GPS-like map. See video.
The MIT-Air Force AI Accelerator, will conduct fundamental research directed at rapid deployment of artificial intelligence (AI) innovations in operations, data management, cybersecurity, and vehicle safety.
MIT researchers have developed a learning-based particle simulator, could give industrial robots a more refined touch and help them make predictions about interacting with solid objects and liquids.
A technique developed by MIT researchers frees up more memory used by computers and mobile devices, allowing them to run faster and perform more tasks simultaneously.
MIT researchers have developer a flash-storage system designed to cut the energy and physical space required to store and manage data in data centers by half.
Researchers from MIT, Columbia University, and other research institutes have developed robots that connect in large groups to move around, transport objects, and complete other tasks.
MIT researchers have developed an algorithm that designs optimized machine-learning models up to 200 times faster than traditional methods.
MIT researchers have developed an on-chip system that detects signals at sub-terahertz wavelengths, which could help steer driverless cars through fog and dust.
Researchers at MIT and Microsoft have developed a model that identifies instances when autonomous systems have learned from examples that may cause dangerous errors in the real world.
MIT researchers have developed a system that allows drones to cooperatively explore terrain under thick forest canopies where GPS signals are unreliable, which could be useful in plant disaster and safety situations.