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The Future of Mixed-Autonomy Traffic with Alexandre Bayen - #303

The Future of Mixed-Autonomy Traffic with Alexandre Bayen - #303

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)


The Future of Mixed-Autonomy Traffic with Alexandre Bayen - #303

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

ratings:
Length:
44 minutes
Released:
Sep 27, 2019
Format:
Podcast episode

Description

Today we are joined by Alexandre Bayen, Director of the Institute for Transportation Studies and Professor at UC Berkeley.In this episode, we discuss Alex’s background in machine learning, his current research in mixed-autonomy traffic, and the idea of swarming in terms of the impact just a few self-driving cars can have on traffic mobility. In the AWS re:Invent conference last year, Alex presented on the future of mixed-autonomy traffic and the two major revolutions he predicts will take place in the next 10-15 years. This includes model-free deep reinforcement learning techniques and end-to-end pixel learning. Looking ahead, Alex shares his take on the future of transportation systems and the potential for varying levels of automation in sub-communities. The complete show notes can be found at twimlai.com/talk/303.
Released:
Sep 27, 2019
Format:
Podcast episode

Titles in the series (100)

This Week in Machine Learning & AI is the most popular podcast of its kind. TWiML & AI caters to a highly-targeted audience of machine learning & AI enthusiasts. They are data scientists, developers, founders, CTOs, engineers, architects, IT & product leaders, as well as tech-savvy business leaders. These creators, builders, makers and influencers value TWiML as an authentic, trusted and insightful guide to all that’s interesting and important in the world of machine learning and AI. Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, deep learning and more.