MIT CSAIL

@MIT_CSAIL • 349,292 subscribers

MIT's Computer Science & Artificial Intelligence Laboratory (CSAIL). Media Inquiries: [email protected] Check out the latest CSAIL content ⬇️

Shorts

507,641 views

19,673 views

55,108 views

Videos

sweetdream.ai

Watch Anya Live

Anya is streaming live right now! Join her private show and enjoy exclusive content.

Private Show

Join now for exclusive access

Free preview available • Premium content

33,151 views • 1 day ago

48,731 views • 7 days ago

46,925 views • 8 days ago

17,750 views • 12 days ago

233,255 views • 8 months ago

26,210 views • 1 month ago

79,276 views • 4 months ago

32,501 views • 1 month ago

33,301 views • 1 month ago

145,199 views • 10 months ago

93,162 views • 6 months ago

187,602 views • 1 year ago

150,722 views • 1 year ago

182,550 views • 1 year ago

18,376 views • 1 month ago

61,054 views • 6 months ago

46,925 views • 4 months ago

26,016 views • 2 months ago

14,481 views • 1 month ago

57,950 views • 8 months ago

Live Cam

MIT CSAIL

Shorts

MIT researchers taught a robot dog to perceive a 3D world using Neural Volumetric Memory (NVM). This technique lets the bot climb stairs, step over gaps &amp; run autonomously w/a single neural network. Paper: Video: w/UC San Diego

MIT CSAIL was founded #otd in 1963 as "Project MAC."

Barrier-grid animations are a clever way to create a moving picture that doesn’t actually move — w/o electronics. MIT's "FabObscura" software helps you produce bolder designs for these displays, which can be attached to objects in homes, stores, &amp; more:

Videos

Watch Anya Live

Free MIT course on distributed systems: Here, MIT prof. Robert Morris breaks down what they are (Lecture 1). v/MIT OpenCourseWare

A breakdown of the simplest neural network from the late MIT Prof. Patrick Winston during his 6.034 (Artificial Intelligence) course. Clip v/tetsuo //: 👾 &amp; MIT OpenCourseWare

MIT CSAIL researchers recently exploited a split-second gap in chip security. The newly discovered flaw can be exploited to reveal sensitive data in Intel &amp; AMD hardware:

Grace Hopper's predictions for computing, made back in 1982. Full talk:

Andrej Karpathy, Eureka Labs founder &amp; former Director of AI at Tesla, breaks down how LLMs like ChatGPT "download the Internet." Watch the full beginner-friendly breakdown here:

An inside look at the hidden supply chain of AI models. Full video:

MIT PhD student Alex Zhang (alex zhang) explains how AI models are "mismanaged geniuses" that could take on a much wider range of tasks. Full video:

32(ish) questions w/an MIT robotics researcher (&amp; actor):

14 sorting algorithms in just 60 seconds. v/tetsuo //: 👾

Free MIT course that covers tools &amp; technologies that are assumed, but rarely taught, in most CS programs &amp; software engineering jobs, like Bash, git, &amp; AI tools:

60 years ago this month, the Fast Fourier Transform was created, a powerful tool for image compression &amp; data analysis. Watch a classic MIT breakdown of FFT, perhaps the most-taught algorithm at the Institute: v/MIT OpenCourseWare

A free MIT course breaking down fundamental math concepts in computer science: Here, MIT prof. Erik Demaine breaks down state machines (Lecture 4). v/MIT OpenCourseWare

An MIT introduction to computer science &amp; Python programming:

A visualization of a neural network learning handwritten numbers. v/Hugo Olsson

A free MIT course about building scalable &amp; high-performance software systems: (v/MIT OpenCourseWare) Here, MIT prof. &amp; CSAIL principal investigator Charles Leiserson discusses why performance matters in computing (Lecture 1).

#otd in 1980 a Japanese computer scientist published a paper proposing the “Neocognitron,” the neural net that directly inspired CNNs: Kunihiko Fukushima’s paper explained back in 1986:

Do-it-all robots aren't ready for our homes. Scientists at MIT &amp; beyond think compliance might change that:

MIT professor Peter Shor explains two concepts w/i quantum computing: qubits &amp; entanglement. Video v/MIT Institute Events

A free MIT course breaking down mathematics for computer science &amp; engineering: (v/MIT OpenCourseWare) Here, MIT prof. Tom Leighton, who is also the CEO &amp; co-founder of Akamai, discusses what a proof is (Lesson 1).

MIT researchers taught a robot dog to perceive a 3D world using Neural Volumetric Memory (NVM). This technique lets the bot climb stairs, step over gaps & run autonomously w/a single neural network. Paper: Video: w/UC San Diego

Barrier-grid animations are a clever way to create a moving picture that doesn’t actually move — w/o electronics. MIT's "FabObscura" software helps you produce bolder designs for these displays, which can be attached to objects in homes, stores, & more:

A breakdown of the simplest neural network from the late MIT Prof. Patrick Winston during his 6.034 (Artificial Intelligence) course. Clip v/tetsuo //: 👾 & MIT OpenCourseWare

MIT CSAIL researchers recently exploited a split-second gap in chip security. The newly discovered flaw can be exploited to reveal sensitive data in Intel & AMD hardware:

Andrej Karpathy, Eureka Labs founder & former Director of AI at Tesla, breaks down how LLMs like ChatGPT "download the Internet." Watch the full beginner-friendly breakdown here:

32(ish) questions w/an MIT robotics researcher (& actor):

Free MIT course that covers tools & technologies that are assumed, but rarely taught, in most CS programs & software engineering jobs, like Bash, git, & AI tools:

60 years ago this month, the Fast Fourier Transform was created, a powerful tool for image compression & data analysis. Watch a classic MIT breakdown of FFT, perhaps the most-taught algorithm at the Institute: v/MIT OpenCourseWare

An MIT introduction to computer science & Python programming:

A free MIT course about building scalable & high-performance software systems: (v/MIT OpenCourseWare) Here, MIT prof. & CSAIL principal investigator Charles Leiserson discusses why performance matters in computing (Lecture 1).

Do-it-all robots aren't ready for our homes. Scientists at MIT & beyond think compliance might change that:

MIT professor Peter Shor explains two concepts w/i quantum computing: qubits & entanglement. Video v/MIT Institute Events

A free MIT course breaking down mathematics for computer science & engineering: (v/MIT OpenCourseWare) Here, MIT prof. Tom Leighton, who is also the CEO & co-founder of Akamai, discusses what a proof is (Lesson 1).