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.
Researchers redesign a compact RNA-guided enzyme from bacteria, making it an efficient editor of human DNA.
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.
The programmable proteins are compact, modular, and can be directed to modify DNA in human cells.
Machine-learning models let neuroscientists study the impact of auditory processing on real-world hearing.
Yiming Chen ’24, Wilhem Hector, Anushka Nair, and David Oluigbo will start postgraduate studies at Oxford next fall.
Co-hosted by the McGovern Institute, MIT Open Learning, and others, the symposium stressed emerging technologies in advancing understanding of mental health and neurological conditions.
A new study finds that language regions in the left hemisphere light up when reading uncommon sentences, while straightforward sentences elicit little response.
Study shows computational models trained to perform auditory tasks display an internal organization similar to that of the human auditory cortex.