Featured News
Symposium highlights MIT’s wide range of innovations for aging brain health
by
David Orenstein | The Picower Institute for Learning and Memory
In six talks, researchers from across MIT described projects aimed at advancing the understanding of and interventions against neurodegenerative diseases such as Alzheimer’s, Parkinson’s, and ALS.
How artificial neural networks build their own learning machinery
by
Jennifer Michalowski | McGovern Institute for Brain Research
Machine-learning networks can learn without detailed instructions from a designer. Those that do may offer insight into how the brain reorganizes itself during learning.
3 Questions: What is the best path forward for AI in academia?
by
Stefanie Koperniak | Institute for Data, Systems, and Society
MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.