Engineering & Robotics

Control theory, dynamical systems, signal processing, convex optimization, robotics, and electrical engineering.

7 courses · 104 standalone talks · 333 total lectures

All Engineering Signal Processing & Robotics (136)Control & Dynamical Systems (113)Complex Systems & Scaling (57)Linear Algebra (46)Convex Optimization (38)Calculus & Analysis (25)Algorithms & Data Structures (23)Computer Architecture (16)Behavioral & Evolutionary Biology (15)science (12)

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On the Emergence of Representational Geometry from Natural Language Statistics

On the Emergence of Representational Geometry from Natural Language Statistics

AI & ML·Research Seminar · Yasaman Bahri · Harvard University

Yasaman Bahri Harvard University

1:08:42

AI: Oppression or Innovation? (SFI-CX)

AI: Oppression or Innovation? (SFI-CX)

SFI-CX · Lec 19 · Stephanie Forrest · Santa Fe Institute

Stephanie Forrest Santa Fe Institute

1:28:36

Shading Languages and Programmable Graphics Systems

Shading Languages and Programmable Graphics Systems

Systems & CS·Research Seminar · Pat Hanrahan · Stanford University

Pat Hanrahan Stanford University

1:03:55

Revisiting Main Memory-Based Timing Attacks in the Context of PIM (DSN'25 Talk)

Revisiting Main Memory-Based Timing Attacks in the Context of PIM (DSN'25 Talk)

Systems & CS·Conference Talk · Nisa Bostanci · ETH Zürich

Nisa Bostanci ETH Zürich

24:49

Lecture 13: Precise Exceptions (Spring 2025)

Lecture 13: Precise Exceptions (Spring 2025)

252-0028 · Lec 15 · Onur Mutlu · ETH Zürich

Onur Mutlu ETH Zürich

1:32:02

Dynamic Programming III (MIT 6.8210, Lecture 6)

Dynamic Programming III (MIT 6.8210, Lecture 6)

6.832 · Lec 6 · Russ Tedrake · MIT

Russ Tedrake MIT

1:19:46

Lecture 3 | MIT 6.832 (Underactuated Robotics), Spring 2020 | Dynamic Programming I

Lecture 3 | MIT 6.832 (Underactuated Robotics), Spring 2020 | Dynamic Programming I

6.832 · Lec 3 · Russ Tedrake · MIT

Russ Tedrake MIT

1:20:31

Stanford CS25: V1 I Transformer Circuits, Induction Heads, In-Context Learning

Stanford CS25: V1 I Transformer Circuits, Induction Heads, In-Context Learning

CS25 · Lec 7 · Stanford Guest Researchers · Stanford University

Stanford Guest Researchers Stanford University

59:34

Dynamic Programming II (MIT 6.8210, Lecture 4)

Dynamic Programming II (MIT 6.8210, Lecture 4)

6.832 · Lec 4 · Russ Tedrake · MIT

Russ Tedrake MIT

1:22:07

Lecture 15: Control (CS223A)

Lecture 15: Control (CS223A)

CS223A · Lec 15 · Oussama Khatib · Stanford University

Oussama Khatib Stanford University

1:12:25

Lecture 15: Linear Programming: LP, Reductions, Simplex (6.046J)

Lecture 15: Linear Programming: LP, Reductions, Simplex (6.046J)

6.046J · Lec 17 · Srinivas Devadas · MIT

Srinivas Devadas MIT

1:22:27

Lecture 21: Robust Control & Policy Search (6.832)

Lecture 21: Robust Control & Policy Search (6.832)

6.832 · Lec 21 · Russ Tedrake · MIT

Russ Tedrake MIT

1:17:06

Lecture 18: Sampling-based (kinodynamic) motion planning (6.832)

Lecture 18: Sampling-based (kinodynamic) motion planning (6.832)

6.832 · Lec 18 · Russ Tedrake · MIT

Russ Tedrake MIT

1:20:47

Lecture 15: Planning + Control Through Contact (6.832)

Lecture 15: Planning + Control Through Contact (6.832)

6.832 · Lec 15 · Russ Tedrake · MIT

Russ Tedrake MIT

1:16:39

Lecture 14: Out-of-Order Execution (Spring 2025)

Lecture 14: Out-of-Order Execution (Spring 2025)

252-0028 · Lec 16 · Onur Mutlu · ETH Zürich

Onur Mutlu ETH Zürich

1:36:14

Lecture 13: Randomized Matrix Multiplication (18.065)

Lecture 13: Randomized Matrix Multiplication (18.065)

18.065 · Lec 13 · Gilbert Strang · MIT

Gilbert Strang MIT

52:24

Lecture 18: Interior-Point Methods (EE364a)

Lecture 18: Interior-Point Methods (EE364a)

EE364a · Lec 18 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:16:53

Lecture 15: Unconstrained Minimization (EE364a)

Lecture 15: Unconstrained Minimization (EE364a)

EE364a · Lec 15 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:16:45

Lecture 10: Trajectory Generation (CS223A)

Lecture 10: Trajectory Generation (CS223A)

CS223A · Lec 10 · Krasimir Kolarov · Stanford University

Krasimir Kolarov Stanford University

1:01:34

Lecture 16: Advanced Branch Prediction (Spring 2025)

Lecture 16: Advanced Branch Prediction (Spring 2025)

252-0028 · Lec 19 · Onur Mutlu · ETH Zürich

Onur Mutlu ETH Zürich

1:50:47

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