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.
CSAIL researchers find even “untrainable” neural nets can learn effectively when guided by another network’s built-in biases using their guidance method.
MIT neuroscientists find a surprising parallel in the ways humans and new AI models solve complex problems.
Media Lab PhD student Kimaya Lecamwasam researches how music can shape well-being.
Tools build on years of research at Lincoln Laboratory to develop a rapid brain health screening capability and may also be applicable to civilian settings such as sporting events and medical offices.
FutureHouse, co-founded by Sam Rodriques PhD ’19, has developed AI agents to automate key steps on the path toward scientific progress.
A team of MIT researchers founded Themis AI to quantify AI model uncertainty and address knowledge gaps.
Researchers redesign a compact RNA-guided enzyme from bacteria, making it an efficient editor of human DNA.
New type of “state-space model” leverages principles of harmonic oscillators.
A quarter century after its founding, the McGovern Institute reflects on its discoveries in the areas of neuroscience, neurotechnology, artificial intelligence, brain-body connections, and therapeutics.
