Boosting student engagement and workforce development in microelectronics
Northeast Microelectronics Coalition Hub funding will expand the reach of the Northeast Microelectronics Internship Program for first- and second-year college students.
Researchers enhance peripheral vision in AI models
By enabling models to see the world more like humans do, the work could help improve driver safety and shed light on human behavior.
Method rapidly verifies that a robot will avoid collisions
Faster and more accurate than some alternatives, this approach could be useful for robots that interact with humans or work in tight spaces.
Deciphering the cellular mechanisms behind ALS
Professor Ernest Fraenkel has decoded fundamental aspects of Huntington’s disease and glioblastoma, and is now using computation to better understand amyotrophic lateral sclerosis.
Startup accelerates progress toward light-speed computing
Lightmatter, founded by three MIT alumni, is using photonic computing to reinvent how chips communicate and calculate.
Dealing with the limitations of our noisy world
Tamara Broderick uses statistical approaches to understand and quantify the uncertainty that can affect study results.
3 Questions: Shaping the future of work in an age of AI
Daron Acemoglu, David Autor, and Simon Johnson, faculty co-directors of the new MIT Shaping the Future of Work Initiative, describe why the work matters and what they hope to achieve.
Gosha Geogdzhayev and Sadhana Lolla named 2024 Gates Cambridge Scholars
The MIT seniors will pursue graduate studies at Cambridge University.
New AI model could streamline operations in a robotic warehouse
By breaking an intractable problem into smaller chunks, a deep-learning technique identifies the optimal areas for thinning out traffic in a warehouse.
“We offer another place for knowledge”
After acquiring data science and AI skills from MIT, Jospin Hassan shared them with his community in the Dzaleka Refugee Camp in Malawi and built pathways for talented learners.
Researchers harness 2D magnetic materials for energy-efficient computing
An MIT team precisely controlled an ultrathin magnet at room temperature, which could enable faster, more efficient processors and computer memories.
Automated method helps researchers quantify uncertainty in their predictions
An easy-to-use technique could assist everyone from economists to sports analysts.
Play it again, Spirio
A piano that captures the data of live performance offers the MIT community new possibilities for studying and experimenting with music.
Smart glove teaches new physical skills
Adaptive smart glove from MIT CSAIL researchers can send tactile feedback to teach users new skills, guide robots with more precise manipulation, and help train surgeons and pilots.
New model identifies drugs that shouldn’t be taken together
Using a machine-learning algorithm, researchers can predict interactions that could interfere with a drug’s effectiveness.