QS ranks MIT #1 in computer science, data science and AI, electrical and electronic engineering, & more: https://
bit.ly/4kNlbCT
@mit_csail
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MIT Ranked #1 in Computer Science, Data Science and AI
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Kernighan’s Debugging Wisdom: Print Statements and Careful Thought
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"The most effective debugging tool is still careful thought, coupled with judiciously placed print statements." — Brian Kernighan, co-creator of Unix
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Computer Engineering 60 Years Ago: Historical Perspective
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Computer engineering 60 years ago. v/
@JonErlichman & the San Diego Air and Space Museum -
Betty Holberton: Pioneer of ENIAC, COBOL, FORTRAN Programming
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Born #otd in 1917: Betty Holberton, who…
-programmed the ENIAC (w/5 other women) -helped standardize COBOL & FORTRAN w/Grace Hopper
-co-developed UNIVAC, & BINAC's C-10 instruction set
-co-wrote 1st generative programming system https://
bit.ly/41Dkt3T -
MIT Introductory Deep Learning Course Now Available Online
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An introductory course about deep learning, courtesy of MIT: https://t.co/xlVPQUthXI
— MIT CSAIL (@MIT_CSAIL) 5 mars 2025
v/@MITDeepLearning pic.twitter.com/wXCs1gD313An introductory course about deep learning, courtesy of MIT: https://
bit.ly/4in6rsJ v/
@MITDeepLearning -
CSAIL Advances Intelligent Robots for Everyday Life Applications
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These projects, among many others, illustrate how CSAIL is helping implement intelligent robots in everyday life. Follow us for more updates on our lab’s latest research!
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Heterogeneous Transformers Accelerate General-Purpose Robot Training
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5. Training general-purpose robots faster The "Heterogeneous Pretrained Transformers" technique merges vast, diverse data to help train robots on many tasks w/o starting from scratch. This faster, cost-effective method outperformed traditional training by >20% in real-world
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Robots Learn Sweeping Skills Through Autonomous Practice Method
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4. Practicing skills independently to adapt to unfamiliar environments 🧹
— MIT CSAIL (@MIT_CSAIL) 4 mars 2025
The "Estimate, Extrapolate, and Situate" method enables robots to practice skills like sweeping on their own. Combining a vision system w/a performance evaluation algorithm, it could assist robots w/tasks… pic.twitter.com/y1pbPPiurz4. Practicing skills independently to adapt to unfamiliar environments The "Estimate, Extrapolate, and Situate" method enables robots to practice skills like sweeping on their own. Combining a vision system w/a performance evaluation algorithm, it could assist robots w/tasks
