AI-enabled control system helps autonomous drones stay on target in uncertain environments
The system automatically learns to adapt to unknown disturbances such as gusting winds.
Envisioning a future where health care tech leaves some behind
The winning essay of the Envisioning the Future of Computing Prize puts health care disparities at the forefront.
Helping machines understand visual content with AI
Coactive, founded by two MIT alumni, has built an AI-powered platform to unlock new insights from content of all types.
Animation technique simulates the motion of squishy objects
The approach could help animators to create realistic 3D characters or engineers to design elastic products.
New system enables robots to solve manipulation problems in seconds
Researchers developed an algorithm that lets a robot “think ahead” and consider thousands of potential motion plans simultaneously.
Teaching AI models what they don’t know
A team of MIT researchers founded Themis AI to quantify AI model uncertainty and address knowledge gaps.
Teaching AI models the broad strokes to sketch more like humans do
SketchAgent, a drawing system developed by MIT CSAIL researchers, sketches up concepts stroke-by-stroke, teaching language models to visually express concepts on their own and collaborate with humans.
An anomaly detection framework anyone can use
PhD student Sarah Alnegheimish wants to make machine learning systems accessible.
AI learns how vision and sound are connected, without human intervention
This new machine-learning model can match corresponding audio and visual data, which could someday help robots interact in the real world.
Learning how to predict rare kinds of failures
Researchers are developing algorithms to predict failures when automation meets the real world in areas like air traffic scheduling or autonomous vehicles.
Scientists discover potential new targets for Alzheimer’s drugs
Pathways involved in DNA repair and other cellular functions could contribute to the development of Alzheimer’s.
The sweet taste of a new idea
Sendhil Mullainathan brings a lifetime of unique perspectives to research in behavioral economics and machine learning.
With AI, researchers predict the location of virtually any protein within a human cell
Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs.
Study shows vision-language models can’t handle queries with negation words
Words like “no” and “not” can cause this popular class of AI models to fail unexpectedly in high-stakes settings, such as medical diagnosis.
System lets robots identify an object’s properties through handling
With a novel simulation method, robots can guess the weight, softness, and other physical properties of an object just by picking it up.