From early motion-sensing platforms to environmental monitoring, the professor and head of the Program in Media Arts and Sciences has turned decades of cross-disciplinary research into real-world impact.
A new method developed at MIT could root out vulnerabilities and improve LLM safety and performance.
Opening a new window on the brainstem, a new tool reliably and finely resolves distinct nerve bundles in live diffusion MRI scans, revealing signs of injury or disease.
The MIT senior will pursue a master’s degree at Cambridge University in the U.K. this fall.
With support from the Siegel Family Endowment, the newly renamed MIT Siegel Family Quest for Intelligence investigates how brains produce intelligence and how it can be replicated to solve problems.
MIT community members made headlines with key research advances and their efforts to tackle pressing challenges.
The AI-powered tool could inform the design of better sensors and cameras for robots or autonomous vehicles.
Assistant Professor Yunha Hwang utilizes microbial genomes to examine the language of biology. Her appointment reflects MIT’s commitment to exploring the intersection of genetics research and AI.
The “self-steering” DisCIPL system directs small models to work together on tasks with constraints, like itinerary planning and budgeting.
MIT neuroscientists find a surprising parallel in the ways humans and new AI models solve complex problems.
