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Daewon Ha: Sustainable Future Semiconductor Industry by Innovative Technologies

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Misha Lukin: Exploring quantum error correction frontier with programmable atom arrays

01:06:05

Caroline Uhler: Causal Representation Learning and Optimal Intervention Design

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Alison Gopnik - Transmission vs.Truth, Imitation vs. Innovation: What 4-year-olds can teach AI.

01:13:56

Edward Chang & Gopala Anumanchipalli: Brain computer interfaces for speech and beyond

01:10:20

Jack Gallant - Toward reverse engineering the deep networks of the human brain

01:10:06

Larry Zitnick - Modeling Atoms to Address Our Climate Crisis

59:36

Jeffrey Welser: IBM Research: Inventing What’s Next

01:07:06

The Past and Future of Robotics and Machine Intelligence Based on 250 Years of Research Experience

57:36

Eli Yablonovitch: Carbon Negative Technology to Solve the Climate Crisis

02:33:01

Baccalaureate Ceremony: Class of 2023 L&S Computer Science Commencement

01:22:05

Christos Papadimitriou - How Does the Brain Create Language?

55:55

Michael Stonebraker - DBOS: A Database-oriented Operating System

01:03:32

John Schulman - Reinforcement Learning from Human Feedback: Progress and Challenges

01:16:35

Darío Gil - What’s Next in Quantum Computing

01:13:45

Bill Dally - Trends in Deep Learning Hardware

01:05:31

Antonio Torralba - Learning to See Without Real Images

01:07:31

Amin Vahdat - Reinventing Computing: How necessity will transform next-generation infrastructure

01:06:46

Gabriel Loh - Silicon Cityscapes

01:06:01

Ali Javey: Wearable Sweat Sensors - Towards big data for human health

01:02:46

David Duvenaud: When should we make our models continuous in time?

01:08:06

Yann LeCun: From Machine Learning to Autonomous Intelligence

55:40

Eli Yablonovitch:Physics does Constrained Optimization (for Free); A New Approach Toward Computation

01:05:36

David Patterson: A Decade of Machine Learning Accelerators:Lessons Learned and Carbon Footprint

02:04:41

Baccalaureate Ceremony: Class of 2022 L&S Computer Science Commencement

49:41

TEALS-CS-Ed-Day 12/10/19

46:50

TEALS-CS-Ed-Day 12/10/19

01:36:47

Gregory Abowd: The Internet of Materials: The next logical step or a paradigm shift?

01:02:00

Sham Kakade: Representation, Modeling, and Optimization in Reinforcement Learning

01:01:53

Nika Haghtalab: Learning for Decision-Making: Dynamics and Economics

01:10:56

Daphne Koller: Machine Learning: A New Approach to Drug Discovery

01:03:33

Petros Koumoutsakos: Machine Learning for Fluid Mechanics

57:12

Wallace Marshall: Controlling structure in living cells from cellular size control system to CellCAD

01:12:57

Stuart Russell: Provably Beneficial Artificial Intelligence

01:04:53

Jim Keller: Moore’s Law is Not Dead

46:00

Sayeef Salahuddin: Negative Capacitance and Its Potential Use for Next Gen Computing Technology

01:10:46

Joe Paradiso: How We Will Connect To Our Networked Future in a Post-IoT World

57:39

Massimiliano Di Ventra, UCSD: Memcomputing: leveraging memory and physics to compute efficiently

56:19

Jonathan Bachrach, UCB: Just in Time Electronics

01:11:09

Jeff Dean: Deep Learning to Solve Challenging Problems

47:51

Berkeley ACM A.M. Turing Laureate Interviews: Andrew Chi-Chih Yao

01:06:28

William Kahan: A Numerical Analyst Thinks about Deep Learning

50:26

Berkeley ACM A.M. Turing Laureate Interviews: William Kahan

46:57

Berkeley ACM A.M. Turing Laureate Interviews: Michael Stonebraker

01:21:02

Richard M. Karp: Computational Complexity in Theory and in Practice

45:45

Berkeley ACM A.M. Turing Laureate Interviews: Richard M. Karp

38:59

Berkeley ACM A.M. Turing Laureate Interviews: Manuel Blum

39:16

ACM A.M. Turing Laureate Interview: Shafi Goldwasser/Silvio Micali 10/3/18

54:12

Dave Fick, Mythic, Inc.

50:18

Ranveer Chandra: FarmBeats

55:31

Mary Lou Jepsen: Using Light to see deep inside our bodies and brains

01:01:08

Paul Debevec: Fiat Lux

56:54

Rajeev Alur, University of Pennsylvania

56:38

Dieter Fox, University of Washington

01:08:32

Andries van Dam, Brown University

01:00:23

Ilya Sutskever, OpenAI

00:02

Ilya Sutskever, OpenAI

58:54

Klara Nahrstedt: Challenges and Opportunities with Multi-Camera multimedia

01:01:19

Eli Yablonovitch: Deep Learning; the Reincarnation of Analog Computing

01:14:26

Alfred Z. Spector: Opportunities and Perils in Data Science