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

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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

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

507,583 просмотров

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:

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:

55,108 просмотров

To automate time-consuming tasks like household chores, robots must be precise & robust for very specific environments. With MIT’s “RialTo” method, users can scan their surroundings w/their phone so a robot can practice in a digital twin environment. This novel real-to-sim-to-real approach allows the machines to train much faster & safer than they would in the real world:

To automate time-consuming tasks like household chores, robots must be precise & robust for very specific environments. With MIT’s “RialTo” method, users can scan their surroundings w/their phone so a robot can practice in a digital twin environment. This novel real-to-sim-to-real approach allows the machines to train much faster & safer than they would in the real world:

16,626 просмотров

Videos

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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:

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:

78,890 просмотров • 1 месяц назад

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:

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:

232,846 просмотров • 5 месяцев назад

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:

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:

92,997 просмотров • 3 месяцев назад

#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:

#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:

46,719 просмотров • 1 месяц назад

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

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

145,000 просмотров • 7 месяцев назад

The story of Mirai, MIT's AI model that can detect breast cancer years before humans do:

The story of Mirai, MIT's AI model that can detect breast cancer years before humans do:

20,953 просмотров • 28 дней назад

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

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

150,535 просмотров • 9 месяцев назад

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).

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).

61,025 просмотров • 3 месяцев назад

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

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

187,423 просмотров • 1 год назад

An MIT introduction to computer science & Python programming:

An MIT introduction to computer science & Python programming:

182,390 просмотров • 1 год назад

The MIT paper that showed space can be more powerful than time in computers. Full video:

The MIT paper that showed space can be more powerful than time in computers. Full video:

36,385 просмотров • 2 месяцев назад

A decade of imaging. Compressed into three months. Here’s how MIT CSAIL & Harvard taught an electron microscope to see like you do:

A decade of imaging. Compressed into three months. Here’s how MIT CSAIL & Harvard taught an electron microscope to see like you do:

24,899 просмотров • 1 месяц назад

Is there a "secret sauce" driving the development of AI models? FutureTech researchers at MIT CSAIL found that at the frontier, sheer scale drives LLM performance, but proprietary techniques & algorithmic advances matter more away from it:

Is there a "secret sauce" driving the development of AI models? FutureTech researchers at MIT CSAIL found that at the frontier, sheer scale drives LLM performance, but proprietary techniques & algorithmic advances matter more away from it:

35,995 просмотров • 2 месяцев назад

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).

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).

57,794 просмотров • 5 месяцев назад

An introductory course about deep learning, courtesy of MIT:

An introductory course about deep learning, courtesy of MIT:

23,815 просмотров • 2 месяцев назад

This is MIT CSAIL:

This is MIT CSAIL:

28,678 просмотров • 3 месяцев назад

The early days of Amazon — a company now valued at ~$2.4 trillion. v/Jon Erlichman

The early days of Amazon — a company now valued at ~$2.4 trillion. v/Jon Erlichman

38,598 просмотров • 4 месяцев назад

Where can linearized dynamics be trusted w/contact? MIT's "Contact Trust Region" answers this using manipulation theory, differentiable simulation & control. It enables manipulation w/less compute than RL, powering robots to be more energy-efficient:

Where can linearized dynamics be trusted w/contact? MIT's "Contact Trust Region" answers this using manipulation theory, differentiable simulation & control. It enables manipulation w/less compute than RL, powering robots to be more energy-efficient:

20,180 просмотров • 2 месяцев назад

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

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

95,559 просмотров • 1 год назад

For roboticists, one challenge towers above the others: there isn’t enough data. To accelerate the deployment of intelligent robots in the real world, MIT CSAIL’s "LucidSim" uses genAI & physics engines to create diverse & realistic virtual training grounds for robots. W/o any real-world data, their robot achieved expert-level performance in difficult tasks:

For roboticists, one challenge towers above the others: there isn’t enough data. To accelerate the deployment of intelligent robots in the real world, MIT CSAIL’s "LucidSim" uses genAI & physics engines to create diverse & realistic virtual training grounds for robots. W/o any real-world data, their robot achieved expert-level performance in difficult tasks:

82,861 просмотров • 1 год назад