Companies are testing dozens of similar drugs in cancers of the pancreas, lung, colon and more.

Even the most adept researchers may not know exactly what they do to get successful results. An A.I. model is trying to figure it out by watching every move.

In a key clinical trial, patients who got the pill, daraxonrasib, lived twice as long as those who got chemotherapy.

The “CrysVCD” tool developed at MIT could cut the huge amounts of time and money spent on screening out chemically unstable designs.

The actual prevalence, researchers said, may be much higher.

A new algorithm learns to anticipate the unprecedented scenarios that critical infrastructure and global supply chains are least prepared for.

New MIT research could lead to better materials for a fossil-fuel-free process for making the chemical that's essential to fertilizer and other products.

The new, more intuitive system could speed up the training process for excavator operators.

Hundreds of aircraft traversing the North Atlantic will be asked to adjust their altitude in an effort to reduce heat-trapping contrails.

A new method for surgically removing training examples from a model reveals that as datasets grow, the link between what a model learns and what it produces dissolves.

MIT historian Tristan Brown uncovers the true origins of an artifact once thought to be a relic of the Boston Tea Party.

“GeoPT” helps AI models understand the basics of physics so they can simulate how objects respond to things like wind and water more efficiently and accurately.

MIT engineers introduce an adaptive physical therapy system that uses generative AI to learn from physical therapists and interactively support stroke patients.

By focusing on electrolytes, MIT scientists are making sodium-metal batteries a more practical energy storage option.

Study finds non-experts deferred to LLM-based diagnostic assistance, even when it was wrong, while clinicians caught AI errors.

Researchers developed an automated framework that helps AI models generate CAD programs more accurately and efficiently.

Assistant Professor Pat Pataranutaporn describes a new interface that lets everyday users glimpse inside an AI's neural network before their chatbot ever says a word.

Through research and entrepreneurship, Professor Devavrat Shah is helping to design methods that can handle constant decision-making using limited computational resources.

“SceneSmith” system uses collaborative AI agents to create realistic 3D environments of places like kitchens, hotels, and living rooms, where robots can simulate everyday chores.

Researchers developed an auditing technique to test generative AI models for malicious capabilities, without prompting them for illegal outputs.

MIT engineers’ design could lead to a new class of aerial-aquatic vehicles for ocean exploration.

MIT researchers developed FloatForm, a swarm of small aquatic robots that snap together like ants forming a raft, assembling into reconfigurable structures on the water.

A USAF cadet and a Lincoln Laboratory researcher found AI chatbots can help nontechnical service members produce viable software applications for their unique problems.