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.
A new method enables optical devices that more closely match their design specifications, boosting accuracy and efficiency.
Justin Solomon applies modern geometric techniques to solve problems in computer vision, machine learning, statistics, and beyond.
During the last week of November, MIT hosted symposia and events aimed at examining the implications and possibilities of generative AI.
The series aims to help policymakers create better oversight of AI in society.
MIT researchers develop a customized onboarding process that helps a human learn when a model’s advice is trustworthy.
Using machine learning, the computational method can provide details of how materials work as catalysts, semiconductors, or battery components.
During 18 years of leadership, Evans established new R&D mission areas, strengthened ties to the MIT community, and increased inclusion and education efforts.
The post describes how you can overcome the challenges of retaining data ownership and preserving data privacy while using LLMs by deploying Protopia AI’s Stained Glass Transform to protect your…
A new, data-driven approach could lead to better solutions for tricky optimization problems like global package routing or power grid operation.