Deep neural networks show promise as models of human hearing
Study shows computational models trained to perform auditory tasks display an internal organization similar to that of the human auditory cortex.
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Study shows computational models trained to perform auditory tasks display an internal organization similar to that of the human auditory cortex.
During the last week of November, MIT hosted symposia and events aimed at examining the implications and possibilities of generative AI.
By analyzing bacterial data, researchers have discovered thousands of rare new CRISPR systems that have a range of functions and could enable gene editing, diagnostics, and more.
Two studies find “self-supervised” models, which learn about their environment from unlabeled data, can show activity patterns similar to those of the mammalian brain.
Researchers coaxed a family of generative AI models to work together to solve multistep robot manipulation problems.
Inspired by physics, a new generative model PFGM++ outperforms diffusion models in image generation.
The 27 finalists — representing every school at MIT — will explore the technology’s impact on democracy, education, sustainability, communications, and much more.
MIT Plasma Science and Fusion Center will receive DoE support to improve access to fusion data and increase workforce diversity.
The MIT Schwarzman College of Computing awards seed grants to seven interdisciplinary projects exploring AI-augmented management.
A new study bridging neuroscience and machine learning offers insights into the potential role of astrocytes in the human brain.