MIT's Computer Science & Artificial Intelligence Laboratory (CSAIL). Media Inquiries: rachelg@csail.mit.edu Check out the latest CSAIL content ⬇️

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What is physical AI? MIT CSAIL explores how it's already helping robots understand the real world — & where it's heading next: tinyurl.com/fa9mdx6j
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Daniela Rus, CSAIL Director & MIT Prof., says that after automation, "intelligence will live in your pocket, not a data center." "It is a path toward AI that is powerful w/o being wasteful, ubiquitous w/o being intrusive, & personal w/o requiring surveillance." Read her full thoughts, which are part of @every's Thesis conference in Nov.: tinyurl.com/b3ndzpk9
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"Controlling complexity is the essence of computer programming." — Brian Kernighan
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Google launched #otd in 1998. It looked a bit different 28 years ago.
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In 2006, then-CNBC reporter Erin Burnett mentioned the idea of an "iPhone" to Steve Jobs. The product was in development at the time, but not officially announced. Video v/@historyinmemes
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The 25 most important mathematical definitions in data science, v/@DailyDoseOfDS_.
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Did you know the original Claude — the chatbot’s namesake, according to Anthropic lore — was a renowned MIT professor? Claude Shannon SM ’40, PhD ’40, who taught at MIT from 1956 until his retirement in 1978, was known to many as the father of information theory and of modern digital communications.
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A list explaining key ML concepts and papers: github.com/dair-ai/ML-Papers… v/@omarsar0
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U.S. News and World Report has named MIT the top university in the US. The Institute was ranked No. 1 in undergraduate engineering, computer science, & economics programs: bit.ly/4rt2tVd
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A handy guide to Git commands, from Git: bit.ly/4x42mBe
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#otd 24 years ago, Tor was launched by MIT students for anonymous communications: bit.ly/4e4maef
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What was your first handheld device (iPod, Walkman, etc)?
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Notable AI models by country, top 3: 1. USA: 59 🇺🇸 2. China: 35 🇨🇳 3. South Korea: 8 🇰🇷 v/Stanford's AI Index 2026 Annual Report
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MIT CSAIL retweeted
Today @Google, we published work led by @m_codreanu on AI in Science, drawing on 15 million Gemini interactions, 2,600 specialised AI models & a 600-scientist survey. What did we find about how AI is changing science? Read on...
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AI is already reshaping scientific research, according to an MIT & Google study. Scientists use LLMs & specialized AI models for different tasks, save ~7 hours a week, & reinvest much of that time in research — but new bottlenecks are emerging: bit.ly/3UT2G7Q
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Research credit: @MIT @Google
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What does scientific work actually look like? MIT's "Science Task Taxonomy" maps tasks across research subfields & sectors, showing how scientific work differs from the wider economy — w/important implications for the impact of AI on science: bit.ly/4cG0V40
Made with AI
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Research credit: @MIT @Google
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Throwback: MIT prof. Peter Shor gives advice to aspiring computer scientists. Full video: bit.ly/3Myh123
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