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Rebooting AI: What's Missing, What's Next with Gary Marcus - TWIML Talk #298

Rebooting AI: What's Missing, What's Next with Gary Marcus - TWIML Talk #298

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


Rebooting AI: What's Missing, What's Next with Gary Marcus - TWIML Talk #298

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

ratings:
Length:
48 minutes
Released:
Sep 10, 2019
Format:
Podcast episode

Description

Today we're joined by Gary Marcus, CEO and Founder at Robust.AI, former CEO and Founder of Geometric Intelligence (acquired by Uber) and well-known scientist, bestselling author, professor and entrepreneur. In this episode hear Gary discuss: His latest book, ‘Rebooting AI: Building Artificial Intelligence We Can Trust’, an extensive look into the current gaps, pitfalls and areas for improvement in the field of machine learning and AI  A break down of the difference between reinforcement learning and real learning  Why we need machines with both automation and autonomy to be truly usable in the world today  Examples from his book, including Teslas driving into tow trucks and Microsoft’s SQuAD reading test results Insight into what we should be talking and thinking about to make even greater (and safer) strides in AI The complete show notes for this episode can be found at twimlai.com/talk/298. Only 3 weeks left to register for TWIMLcon: AI Platforms! Visit twimlcon.com/register now!  
Released:
Sep 10, 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.