DeepQB: Deep Learning to Quantify Quarterback Decision-Making with Brian Burke - TWIML Talk #297 - The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Om avsnittet

Today we're joined by Brian Burke, Analytics Specialist with the Stats & Information Group at ESPN. A former Navy pilot and lifelong football fan, Brian saw the correlation between fighter pilots and quarterbacks in the quick decisions both roles make on a regular basis. In this episode, we discuss his paper: “DeepQB: Deep Learning with Player Tracking to Quantify Quarterback Decision-Making & Performance”, what it means for football, and his excitement for machine learning in sports.

DeepQB: Deep Learning to Quantify Quarterback Decision-Making with Brian Burke - TWIML Talk #297

Om avsnittet

Fler avsnitt

From Math Olympiads to Navier-Stokes: How Fast Is AI Progressing? with Greg Burnham - #778

From Voice Agents to AI Avatars with Alexander Smola - #777

Do AI Tokenomics Matter More Than Model Benchmarks? with Chris Potts - #776

World Models and the Future of Spatial AI with Justin Johnson - #775

Why the Next AI Breakthrough May Come from Physics with Max Welling - #774

Why Image Generation Needs More Than Bigger Models with Fatih Porikli - #773

Why Models Are AI’s Next Training Dataset with Damian Borth - #772

How AI Learns to Smell with Alex Wiltschko - #771

Why AI Agents Break the GenAI Security Model with Devvret Rishi - #770

Is RAG Dead? Lessons from Building AI for Tax Law with Alex Bowcut - #769