To excel at engineering design, generative AI must learn to innovate, study finds
AI models that prioritize similarity falter when asked to design something completely new.
Institute Professor Daron Acemoglu Wins A.SK Social Science Award
The award honors research on public policy with a focus on economic and governmental reforms.
New technique helps robots pack objects into a tight space
Researchers coaxed a family of generative AI models to work together to solve multistep robot manipulation problems.
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.
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 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.
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.
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.
Four Lincoln Laboratory technologies win five 2023 R&D 100 awards
Inventions in medical imaging, aircrew scheduling, data security, and quantum networking are named among the year’s most innovative new products.
MIT scholars awarded seed grants to probe the social implications of generative AI
The 27 finalists — representing every school at MIT — will explore the technology’s impact on democracy, education, sustainability, communications, and much more.