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.
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MIT in the media: 2024 in review
MIT community members made headlines with key research advances and their efforts to tackle pressing challenges.
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.
Study reveals AI chatbots can detect race, but racial bias reduces response empathy
Researchers at MIT, NYU, and UCLA develop an approach to help evaluate whether large language models like GPT-4 are equitable enough to be clinically viable for mental health support.
MIT affiliates named 2024 Schmidt Sciences AI2050 Fellows
Five MIT faculty members and two additional alumni are honored with fellowships to advance research on beneficial AI.
Introducing MIT HEALS, a life sciences initiative to address pressing health challenges
The MIT Health and Life Sciences Collaborative will bring together researchers from across the Institute to deliver health care solutions at scale.
Citation tool offers a new approach to trustworthy AI-generated content
Researchers develop “ContextCite,” an innovative method to track AI’s source attribution and detect potential misinformation.
3 Questions: Should we label AI systems like we do prescription drugs?
Researchers argue that in health care settings, “responsible use” labels could ensure AI systems are deployed appropriately.
Toward a code-breaking quantum computer
Building on a landmark algorithm, researchers propose a way to make a smaller and more noise-tolerant quantum factoring circuit for cryptography.
3 Questions: How to prove humanity online
AI agents could soon become indistinguishable from humans online. Could “personhood credentials” protect people against digital imposters?
Tracking emissions to help companies reduce their environmental footprint
Context Labs, led by Dan Harple SM ’13, uses AI-enabled data analytics and verification to help companies measure their true greenhouse emissions and document reductions.
Knight Science Journalism Program at MIT announces 2024-25 fellows
Journalists covering key science issues around the globe will join the MIT community in August.
Melissa Choi named director of MIT Lincoln Laboratory
With decades of experience working across the laboratory’s R&D areas, Choi brings a focus on collaboration, technical excellence, and unity.
3 Questions: Catherine D’Ignazio on data science and a quest for justice
In her new book, “Counting Feminicide,” D’Ignazio explores how activists have tabulated the epidemic of gender-based murder in Latin America.