Computer Science and Artificial Intelligence Laboratory (CSAIL)

Collage of four images of a hand wearing a white, fabric-based glove with black fingertips and haptics and sensors sewn in. Two use cases shown include manipulating a robotic arm and playing a piano.

Smart glove teaches new physical skills

Adaptive smart glove from MIT CSAIL researchers can send tactile feedback to teach users new skills, guide robots with more precise manipulation, and help train surgeons and pilots.

February 20, 2024

Illustration showing the development stages of 3D-printed microstructures. At left, interconnected network diagrams with two highlighted nodes. At right, a 2D pixelated microstructure pattern that looks like a crossword puzzle. Below, a physical object showcases the same complex pattern, suggesting it's a 3D-printed prototype.

Using AI to discover stiff and tough microstructures

Innovative AI system from MIT CSAIL melds simulations and physical testing to forge materials with newfound durability and flexibility for diverse engineering uses.

February 14, 2024

Headshots of five award winners, plus the Franklin Institute seal

MIT community members honored with 2024 Franklin Institute Awards

Two professors and three additional alumni recognized for “dreaming up solutions to global challenges — advancing health, sustainability, and human connection.”

February 9, 2024

A stylized brain illustration is superimposed over a diagonal green arrow that is pointing upward. The background is light pink with a grid pattern.

How symmetry can come to the aid of machine learning

Exploiting the symmetry within datasets, MIT researchers show, can decrease the amount of data needed for training neural networks.

February 5, 2024

Three squares over black-and-white pixels resembling television static: Left side contains a brown mannequin’s hand tapping a phone screen with its ring finger down in a dark room; at center is a grayscale pixelated image of that gesture; at right is a grayscale, more pixelated image of the gesture.

Study: Smart devices’ ambient light sensors pose imaging privacy risk

The ambient light sensors responsible for smart devices’ brightness adjustments can capture images of touch interactions like swiping and tapping for hackers.

January 29, 2024

Close-up photo of a hand gesturing toward a series of floating icons resembling an ancient Greek temple, a book, a balanced scale, a gavel, a paper with a checkmark, and the silhouette of a person in a suit from the bust upwards.

What to do about AI in health?

Although artificial intelligence in health has shown great promise, pressure is mounting for regulators around the world to act, as AI tools demonstrate potentially harmful outcomes.

January 23, 2024

Drawing of a large group of people from an aerial perspective forming a distorted oval shape. Several individuals are standing apart from the formation.

New hope for early pancreatic cancer intervention via AI-based risk prediction

MIT CSAIL researchers develop advanced machine-learning models that outperform current methods in detecting pancreatic ductal adenocarcinoma.

January 18, 2024

Headshots of Athul Paul Jacob, Maohao Shen, Victor Butoi, and Andi Peng.

Reasoning and reliability in AI

PhD students interning with the MIT-IBM Watson AI Lab look to improve natural language usage.

January 18, 2024

Realistic illustration of a plane tacking off from a computer tablet a person is holding. Geometric white lines and blue dots surround the scene

Stratospheric safety standards: How aviation could steer regulation of AI in health

An interdisciplinary team of researchers thinks health AI could benefit from some of the aviation industry’s long history of hard-won lessons that have created one of the safest activities today.

January 17, 2024

With a thought bubble containing a to-do list over its head, a robotic arm begins to complete kitchen tasks in three panels: opening a microwave, opening and closing a cupboard door, and placing a pot on a stove.

Multiple AI models help robots execute complex plans more transparently

A multimodal system uses models trained on language, vision, and action data to help robots develop and execute plans for household, construction, and manufacturing tasks.

January 8, 2024