The cost of thinking
MIT neuroscientists find a surprising parallel in the ways humans and new AI models solve complex problems.
MIT neuroscientists find a surprising parallel in the ways humans and new AI models solve complex problems.
Presentations targeted high-impact intersections of AI and other areas, such as health care, business, and education.
Read MoreResearchers redesign a compact RNA-guided enzyme from bacteria, making it an efficient editor of human DNA.
Read MoreA 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.
Read MoreThe programmable proteins are compact, modular, and can be directed to modify DNA in human cells.
Read MoreMachine-learning models let neuroscientists study the impact of auditory processing on real-world hearing.
Read MoreYiming Chen ’24, Wilhem Hector, Anushka Nair, and David Oluigbo will start postgraduate studies at Oxford next fall.
Read MoreCo-hosted by the McGovern Institute, MIT Open Learning, and others, the symposium stressed emerging technologies in advancing understanding of mental health and neurological conditions.
Read More
You must be logged in to post a comment.