A method to interpret AI might not be so interpretable after all
Some researchers see formal specifications as a way for autonomous systems to "explain themselves" to humans. But a new study finds that we aren't understanding.
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Solve Challenge Finals 2023: Action in service to the world
Global platform showcases social innovation technology and global leadership.
Twelve with MIT ties elected to the National Academy of Medicine for 2023
Five MIT faculty, along with seven additional affiliates, are honored for outstanding contributions to medical research.
New tools are available to help reduce the energy that AI models devour
Amid the race to make AI bigger and better, Lincoln Laboratory is developing ways to reduce power, train efficiently, and make energy use transparent.
AI copilot enhances human precision for safer aviation
Designed to ensure safer skies, “Air-Guardian” blends human intuition with machine precision, creating a more symbiotic relationship between pilot and aircraft.
“A whole world of potential learners and potential knowledge to gain”
MIT Digital Learning Lab advances quality digital learning on campus and globally.
A more effective experimental design for engineering a cell into a new state
By focusing on causal relationships in genome regulation, a new AI method could help scientists identify new immunotherapy techniques or regenerative therapies.
Is AI in the eye of the beholder?
Study shows users can be primed to believe certain things about an AI chatbot’s motives, which influences their interactions with the chatbot.
Who will benefit from AI?
In campus talk, Daron Acemoglu offers vision of “machine usefulness,” rather than autonomous “intelligence,” to help workers and spread prosperity.
Giving students the computational chops to tackle 21st-century challenges
With the growing use of AI in many disciplines, the popularity of MIT’s four “blended” majors has intensified.
Re-imagining the opera of the future
The iconic sci-fi opera “VALIS,” first composed by Professor Tod Machover in 1987, reboots at MIT for a new generation.
From physics to generative AI: An AI model for advanced pattern generation
Inspired by physics, a new generative model PFGM++ outperforms diffusion models in image generation.
James Fujimoto, Eric Swanson, and David Huang win Lasker Award
Professor and two additional MIT affiliates honored for influential work on optical coherence tomography, which allows rapid detection of retinal disease, among other applications.
School of Engineering welcomes Songyee Yoon PhD ’00 as visiting innovation scholar
A visionary entrepreneur and innovator, Yoon will focus on entrepreneurship, supporting female engineers, and fostering inclusive innovation.
2023-2024 Accenture Fellows advance technology at the crossroads of business and society
The MIT and Accenture Convergence Initiative for Industry and Technology announces new graduate fellows.