Explained: Generative AI’s environmental impact
Rapid development and deployment of powerful generative AI models comes with environmental consequences, including increased electricity demand and water consumption.
Algorithms and AI for a better world
Assistant Professor Manish Raghavan wants computational techniques to help solve societal problems.
Making the art world more accessible
The startup NALA, which began as an MIT class project, directly matches art buyers with artists.
Karl Berggren named faculty head of electrical engineering in EECS
Professor who develops technologies to push the envelope of what is possible with photonics and electronic devices succeeds Joel Voldman.
This fast and agile robotic insect could someday aid in mechanical pollination
With a new design, the bug-sized bot was able to fly 100 times longer than prior versions.
Teaching AI to communicate sounds like humans do
Inspired by the human vocal tract, a new AI model can produce and understand vocal imitations of everyday sounds. The method could help build new sonic interfaces for entertainment and education.
Monitoring space traffic
AeroAstro PhD student Sydney Dolan uses an interdisciplinary approach to develop collision-avoidance algorithms for satellites.
Images that transform through heat
The Thermochromorph printmaking technique developed by CSAIL researchers allows images to transition into each other through changes in temperature.
How hard is it to prevent recurring blackouts in Puerto Rico?
Using the island as a model, researchers demonstrate the “DyMonDS” framework can improve resiliency to extreme weather and ease the integration of new resources.
MIT’s top research stories of 2024
Stories on tamper-proof ID tags, sound-suppressing silk, and generative AI’s understanding of the world were some of the most popular topics on MIT News.
Helping students bring about decarbonization, from benchtop to global energy marketplace
Professor Jessika Trancik’s course helps students understand energy levers for addressing climate change at the macro and micro scales.
Ecologists find computer vision models’ blind spots in retrieving wildlife images
Biodiversity researchers tested vision systems on how well they could retrieve relevant nature images. More advanced models performed well on simple queries but struggled with more research-specific prompts.
MIT affiliates receive 2025 IEEE honors
Five MIT faculty and staff, along with 19 additional alumni, are honored for electrical engineering and computer science advances.
MIT welcomes Frida Polli as its next visiting innovation scholar
The neuroscientist turned entrepreneur will be hosted by the MIT Schwarzman College of Computing and focus on advancing the intersection of behavioral science and AI across MIT.
How humans continuously adapt while walking stably
Research could help improve motor rehabilitation programs and assistive robot control.