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.
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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.
CoCo: A real-time co-creative learning platform for young people
Media Lab PhD students Manuj Dhariwal and Shruti Dhariwal introduce a new paradigm of creative collaboration in digital learning environments.
Celebrating the impact of IDSS
A two-day conference at MIT reflected on the impact of the Institute for Data, Systems, and Society since its launch, as founding Director Munther Dahleh prepares to step down.
Using AI, scientists find a drug that could combat drug-resistant infections
The machine-learning algorithm identified a compound that kills Acinetobacter baumannii, a bacterium that lurks in many hospital settings.
Probabilistic AI that knows how well it’s working
It’s more important than ever for artificial intelligence to estimate how accurately it is explaining data.
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.
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.
An AI challenge only humans can solve
In their new book, “Power and Progress,” Daron Acemoglu and Simon Johnson ask whether the benefits of AI will be shared widely or feed inequality.
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.