This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more.
Download NetSuite’s popular KPI Checklist, designed to give you consistently excellent performance - absolutely free at NetSuite.com/EYEONAI
On episode #152 of Eye on AI, Craig Smith sits down with Alex Kendall, founder and CEO of Wavye, a company building autonomous vehicle technology using AI.
In this episode, Alex provides an inside look at Wavye's approach to autonomous driving, which leverages world models and reinforcement learning to create an AI "driver" that can understand complex urban environments. Alex explains how world models allow an AI system to imagine multiple futures before acting, enabling safer decision-making, and shares Wavye's progress on deploying autonomous delivery vehicles with partners in the UK.
We also dive into the differences between world models and large language models, the unique data challenges of perception-based AI, and Wave's ambitions to expand this AI technology to new applications like humanoid robotics.
If you enjoyed this podcast, please consider leaving a 5-star rating on Spotify and a review on Apple Podcasts.
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Preview, Introduction and Netsuite
(03:45) The Advantages of World Models
(10:12) Developing Autonomous Driving Technology
(16:35) Partnership with Microsoft and Training Challenges
(21:10) Decoding the Concept of Generalization in Autonomous Driving
(27:08) Compute Requirements and Infrastructure
(32:45) The Role of Azure in Training
(37:12) What Is Tokenization of Data
(41:47) Addressing Compute Constraints
(46:12) Future Applications of World Models and Open Source
#185 Damon Rasheed & Saurabh Jain: Achieving Up to 90% Accuracy in Predicting Drug Clinical Trial Outcomes with Opyl's Trialkey.ai
#184 André van Schaik: Building An Artificial Brain With 100 Billion Neurons
#183 Will Falcon: Lightning Studio, an iOS for AI Developers?
#182 Dragomir Anguelov: The Role of AI and Machine Learning in Waymo's Self-Driving Cars
#181 Nick Bostrom: The Meaning of Life in a World where AI can do Everything for Us
#180 Thomas Lah: Navigating AI Adoption in Tech Businesses
#179 Ylli Bajraktari: AI and National Security - The Race with China
#178 Terry Sejnowski on Integrating Human Development Principles into AI Models
#177 Björn Ommer: Diffusion Mods Explained By Stable Diffusion’s Creator
#176 Sergey Levine: Decoding The Evolution of AI in Robotics
#175 Aravind Srinivas: Revolutionizing Search with Perplexity AI
#174 Tianmin Shu: How World Models are Shaping The Future of AI
#173 Vincent Vanhoucke: How Is AI Helping Advance Robotics?
#172 Cristóbal Valenzuela: Can AI Revolutionize How We Create Art?
#171 Anna Marie Wagner: Harnessing AI for Synthetic Biology
#170 Richard Sutton on Pursuing AGI Through Reinforcement Learning
#169 Guillermo Rauch: How To Use AI to Improve Web Development
#168 Ian Bremmer on Regulating AI for a Safer Future
#167 Matt Powell: The Impact of AI on Security and Surveillance
#166 Itamar Arel: Is Voice AI the Future of Customer Service?
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