Confronting the AI/energy conundrum
The explosive growth of AI-powered computing centers is creating an unprecedented surge in electricity demand that threatens to overwhelm power…
Accelerating scientific discovery with AI
Several researchers have taken a broad view of scientific progress over the last 50 years and come to the same…
MIT and Mass General Brigham launch joint seed program to accelerate innovations in health
Leveraging the strengths of two world-class research institutions, MIT and Mass General Brigham (MGB) recently celebrated the launch of the…
Using generative AI to help robots jump higher and land safely
Diffusion models like OpenAI’s DALL-E are becoming increasingly useful in helping brainstorm new designs. Humans can prompt these systems to…
Merging AI and underwater photography to reveal hidden ocean worlds
In the Northeastern United States, the Gulf of Maine represents one of the most biologically diverse marine ecosystems on the…
LLMs factor in unrelated information when recommending medical treatments
A large language model (LLM) deployed to make treatment recommendations can be tripped up by nonclinical information in patient messages,…
Researchers present bold ideas for AI at MIT Generative AI Impact Consortium kickoff event
Launched in February of this year, the MIT Generative AI Impact Consortium (MGAIC), a presidential initiative led by MIT’s Office…
Combining technology, education, and human connection to improve online learning
MIT Morningside Academy for Design (MAD) Fellow Caitlin Morris is an architect, artist, researcher, and educator who has studied psychology and used…
Unpacking the bias of large language models
Research has shown that large language models (LLMs) tend to overemphasize information at the beginning and end of a document…
A sounding board for strengthening the student experience
During his first year at MIT in 2021, Matthew Caren ’25 received an intriguing email inviting students to apply to…