56:54

Parables on the Power of Planning in AI: From Poker to Diplomacy: Noam Brown (OpenAI)

01:22

Target conversation extraction

01:49

Knowledge boosting: Model collaboration during low-latency inference

09:27

2024 Graduation Celebration Commencement Speaker: Andy Jassy (President and CEO, Amazon)

01:55:13

2024 Paul G. Allen School of Computer Science & Engineering Graduation Celebration

01:00:54

Distinguished Seminar In Optimization and Data: Amitabh Basu (Johns Hopkins University)

01:43:02

Open the Paths: Transportation Data Equity Workshop

01:43:02

Open the Paths: Translating Experiences to Data

01:08:24

Open the Paths: Connected by Transit: The Future of Community Access

53:33

Open the Paths: Amazon India Commute On-Demand Review

01:09:45

Open the Paths: WA Data for On-Demand Transit: Advancing GTFS-Flex

24:31

Open the Paths: A Collaborative Approach to Building Pedestrian Data

01:01:10

Open the Paths: On-Demand Transit Coordinator Experience Panel

59:28

Open the Paths: Coordinating Cross-County Transportation Options: ST3's Hidden Imperative

18:11

Open the Paths: National Collaboration on Bicycle, Pedestrian, and Accessibility Infrastructure Data

18:33

Open the Paths: Transit Rider Experience Panel

59:23

Open the Paths: OTP Regional Workgroup Meeting

01:01:10

Distinguished Seminar in Optimization and Data: Mikhail Belkin (UCSD)

10:05

Target speech hearing with ear-worn AI

01:00:37

[ASL] The Impact of AccessComputing: Richard Ladner (Allen School)

59:51

The Impact of AccessComputing: Richard Ladner (Allen School)

01:03:37

Distinguished Seminar in Optimization and Data: Amirali Ahmadi (Princeton University)

55:17

Distinguished Seminar in Optimization and Data: Jelena Diakonikolas, University of Wisconsin-Madison

46:19

Secure systems from insecure components—Emma Dauterman (Berkeley)

57:50

Towards Principled Post-Training of Large Language Models—Banghua Zhu (Berkeley)

01:01:21

Scalable and Efficient Systems for Large Language Models—Lianmin Zheng (Berkeley)

53:38

Targeting humanitarian aid with machine learning and digital data—Emily Aiken (Berkeley)

58:30

Generalizing Outside the Training Distribution through Compositional Generation: Yilun Du (MIT)

59:30

2024 Winter Robotics Colloquium: Liyiming Ke (Allen School)

56:48

Content Curation in Online Platforms: Manoel Ribeiro (EPFL)

07:05

I Am CSE Overview

57:15

Proof-driven Development of Production-quality Cryptographic Software: Andres Erbsen (MIT)

59:55

2024 Winter Robotics Colloquium: Ani Kembhavi (Allen Institute for Artificial Intelligence (AI2))

02:38

I Am CSE: Kyle Johnson

07:40

[Audio Descriptions] I Am CSE: Melanie Sclar

04:24

[Audio Descriptions] I Am CSE: Ather Sharif

04:24

[Audio Descriptions] I Am CSE: Kyle Johnson

02:56

I Am CSE: Melanie Sclar

02:34

I Am CSE: Ather Sharif

00:58

I Am CSE: Jiafei Duan

02:36

I Am CSE: Esther Jang

59:44

Toward Total Scene Understanding for Autonomous Driving—Drago Anguelov (Waymo)

59:41

[ASL] Toward Total Scene Understanding for Autonomous Driving—Drago Anguelov (Waymo)

23:06

[ASL] Taskar Center Events: Introducing AccessMap Multimodal, Including the Nonvisual Experience

32:06

[ASL] Taskar Center Events: Tools for Equitable Transportation Planning with the TDEI Infrastructure

23:06

Taskar Center Events: Introducing AccessMap Multimodal, Including the Nonvisual Experience

32:06

Taskar Center Events: Tools for Equitable Transportation Planning with the TDEI Infrastructure

57:08

Advancing Weather and Climate Prediction with Data Driven Methods: Will Chapman (NSF-NCAR)

57:14

A Data-Driven Future for Atmospheric Chemistry, Wildfires, Climate, and Society: Makoto Kelp

48:58

2024 Winter Robotics Colloquium: Matt Barnes (Google Research)

57:33

Computational methods for human networks and high-stakes decisions: Serina Chang (Stanford)

01:02:51

Beyond Test Accuracies for Studying Deep Neural Networks: Kyunghyun Cho (New York University)

01:01:25

Machine Learning and the Hydroxyl Radical for Air Quality and Climate: Qindan Zhu (MIT)

52:24

Interpretable ML approaches for multi-year climate variability: Emily Gordon (Stanford University)

32:30

GraphLab: Machine Learning for Big Data in the Cloud—Carlos Guestrin (UW CSE)

29:19

The Art of Leaderboarding in the Era of Extreme-Scale Neural Models: Yejin Choi (Allen School)

17:37

The Future of Software: Ras Bodik (UW Computer Science & Engineering)

25:01

Computer Security and Privacy for Existing and Emerging Technologies: Franzi Roesner (Allen School)

33:07

Data Science for Human Well-Being: Tim Althoff (Allen School)

28:15

Physics-based Manipulation With and Around People: Siddhartha Srinivasa (Allen School)