This week, questions loomed on the overhaul of Section 230, the foundational law of the Internet. MIT’s Dan Weitzner helped draft the law & get it passed in '96. He now says the Supreme Court could “dramatically limit" diversity of speech on the Internet: http://
n.pr/3SEXCPn
@mit_csail
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Section 230 Overhaul: Supreme Court Could Limit Internet Speech Diversity
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MIT Wearable Device Monitors Vocal Fatigue With Skin Sensors
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With the help of opera singers and a speech-language pathologist, an MIT researcher helps develop first wearable device to quantify vocal fatigue.
— MIT CSAIL (@MIT_CSAIL) 22 février 2023
Combining skin-interfaced sensors w/a haptic feedback module, the device can monitor singers' vocal health: https://t.co/bkM3t56BNP pic.twitter.com/5JLoleetcAWith the help of opera singers and a speech-language pathologist, an MIT researcher helps develop first wearable device to quantify vocal fatigue. Combining skin-interfaced sensors w/a haptic feedback module, the device can monitor singers' vocal health: http://
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Fourier Equation: Mathematical Foundation of Digital Music Technology
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Digital music couldn't exist without the Fourier equation from 1822: http://
bit.ly/22kbNfi credit: @Gizmodo -
Six Women Programmed the First Digital Computer in 1946
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In 1946, six women programmed the first digital computer: http://
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Machine Learning Resource Map Guide
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A map for your machine learning needs: http://
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MIT’s MiniCity Tests Autonomous Urban Perception Planning
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Cruising through MIT’s MiniCity, a scaled-down McWorld for testing autonomous urban perception & planning. pic.twitter.com/OsuvGoqfJk
— MIT CSAIL (@MIT_CSAIL) 11 février 2023Cruising through MIT’s MiniCity, a scaled-down McWorld for testing autonomous urban perception & planning.
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Tools Shape Thinking: Dijkstra on Technology’s Cognitive Impact
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“The tools we use have a profound (and devious) influence on our thinking habits, and, therefore, on our thinking abilities.” — Edsger W. Dijkstra
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MIT Creates Liquid Neural Networks Outperforming Convolutional Networks
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MIT scientists created a new class of speedy “liquid” neural networks that can change underlying algorithms on the fly, sometimes outperforming convolutional neural nets: https://
bit.ly/3K0lLxv Image v/
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MIT Researchers Discover LLMs Store Neural Networks Internally
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MIT researchers found that massive neural nets (e.g. large language models) are capable of storing and simulating other neural networks inside their hidden layers, which enables LLM to adapt to a new task without external training: https://
bit.ly/3jIiesP