Study: Global deforestation leads to more mercury pollution
Scientists quantify a previously overlooked driver of human-related mercury emissions.
Scientists quantify a previously overlooked driver of human-related mercury emissions.
Exploiting the symmetry within datasets, MIT researchers show, can decrease the amount of data needed for training neural networks.
Hundreds of participants from around the world joined the sixth annual MIT Policy Hackathon to develop data-informed policy solutions to challenges in health, housing, and more.
Developed by MIT engineers, the model could be a tool for designers looking to innovate in sneaker design.
The MIT Summer Research Program pairs underrepresented students with opportunities to examine inequity through the IDSS Initiative for Combatting Systemic Racism.
MITx MicroMasters credential leads learner to accelerated graduate program in data science.
MIT researchers develop a customized onboarding process that helps a human learn when a model’s advice is trustworthy.
A new, data-driven approach could lead to better solutions for tricky optimization problems like global package routing or power grid operation.
MIT researchers who share their data recognized at second annual awards celebration.
How do powerful generative AI systems like ChatGPT work, and what makes them different from other types of artificial intelligence?
Inaugural Fast Forward Faculty Fund grants aim to spur new work on climate change and deepen collaboration at MIT.
In a new book, Richard “Dick” Larson draws on a lifelong commitment to STEM education at MIT to offer accessible advice on solving everyday problems and making smarter decisions.
By focusing on causal relationships in genome regulation, a new AI method could help scientists identify new immunotherapy techniques or regenerative therapies.
Martin Luther King Jr. Visiting Professors and Scholars will enhance and enrich the MIT community through engagement with students and faculty.
Study finds climate policy alone cannot meaningfully reduce racial/economic disparities in air pollution exposure.