Scaling audio-visual learning without labels
A new multimodal technique blends major self-supervised learning methods to learn more similarly to humans.
Computer Science and Artificial Intelligence Laboratory (CSAIL)
Computational model mimics humans’ ability to predict emotions
Using insights into how people intuit others’ emotions, researchers have designed a model that approximates this aspect of human social intelligence.
New tool helps people choose the right method for evaluating AI models
Selecting the right method gives users a more accurate picture of how their model is behaving, so they are better equipped to correctly interpret its predictions.
A more effective way to train machines for uncertain, real-world situations
Researchers develop an algorithm that decides when a “student” machine should follow its teacher, and when it should learn on its own.
MIT community members who work to eradicate sexual violence recognized at 2023 Change-Maker Awards
Violence Prevention and Response and the Institute Discrimination and Harassment Response Office celebrate students and employees for their efforts in combating sexual misconduct.
Helping robots handle fluids
Researchers create a new simulation tool for robots to manipulate complex fluids in a step toward helping them more effortlessly assist with daily tasks.
A better way to match 3D volumes
By mapping the volumes of objects, rather than their surfaces, a new technique could yield solutions to computer graphics problems in animation and CAD.
Researchers use AI to identify similar materials in images
This machine-learning method could assist with robotic scene understanding, image editing, or online recommendation systems.
Using data to write songs for progress
Senior Ananya Gurumurthy adds her musical talents to her math and computer science studies to advocate using data for social change.
Toward more flexible and rapid prototyping of electronic devices
FlexBoard is a flexible breadboard that enables rapid prototyping of objects with interactive sensors, actuators, and displays on curved and deformable surfaces.
Three MIT-led projects awarded MURI funding for 2023
Through the Multidisciplinary University Research Initiative, the US Department of Defense supports research projects in areas of critical importance to national defense.
Is medicine ready for AI? Doctors, computer scientists, and policymakers are cautiously optimistic
With the artificial intelligence conversation now mainstream, the 2023 MIT-MGB AI Cures conference saw attendance double from previous years.
Thirteen from MIT win 2023 Fulbright fellowships
The Fulbright US Student Program funds opportunities for research, graduate study, and teaching abroad.
Five MIT faculty elected to the National Academy of Sciences for 2023
Joshua Angrist, Gang Chen, Catherine Drennan, Dina Katabi, Gregory Stephanopoulos, and seven additional alumni are recognized by their peers for their outstanding contributions to research.
3 Questions: Jacob Andreas on large language models
The CSAIL scientist describes natural language processing research through state-of-the-art machine-learning models and investigation of how language can enhance other types of artificial intelligence.