Join the conversation #reworkAUTO
ML & Deep Learning Researcher, Autonomous Vehicles
Ford Motor Company
Machine Learning R&D
Audi/VW Electronics Research Lab
Director, Ethics & Emerging Sciences Group
California Polytechnic State University
Head of Data Science
President & CEO
CEO & Founder
Director of Engineering
Panasonic Silicon Valley Laboratory
Laboratory for Intelligent & Safe Automobiles
University of California
Stanford Intelligent Systems Lab
CEO IoT Disruptions & CSP Instructor
Chief Product Officer
Graduate Research Assistant
University of Texas
Toyota InfoTechnology Center
Wall Street Journal
Machine Learning Engineer
AV Industry Adviser
The MIT AgeLab, which is part of the Center for Transportation and Logistics at MIT, is looking for Tesla drivers to participate in a new research initiative that “analyzes advanced vehicle technology use in real-world scenarios.”Read More
Joan Walker, Professor at the University of California, Berkeley talks about why it's important to incorporate behavioral modelling in transportation planning.Read More
Renovo, says the traditional concept of a vehicle platform faces potential radical change in an era dominated by software, electronics and the rise of autonomous vehicle technology. "We as an industry have to figure out how to get gigabytes of data off our cars".Read More
Eyeris is a world pioneer and leader of deep learning-based facial emotion recognition software. The company's flagship product EmoVu provides the most comprehensive suite of face analytics and is used in today's commercial applications such as automotive, robotics, and video analytics.Read More
NIO - In the past, cars gave people the freedom of mobility. In the future, cars will go one step further and free people from driving, giving them the freedom of time. It’s a future we’re excited to shape.Read More
Hear from experts in autonomous vehicles, IoT, the smart dashboard, machine learning methods, predictive analytics & much more from the world's leading companies & innovative startups. We're exploring the convergence of software & hardware to create safer, smarter and more efficient transport.
The global connected car market size is expected to reach $180 billion by 2022. The Machine Intelligence in Autonomous Vehicles Summit will showcase the opportunities of emerging trends in sensors, connected devices, virtual assistants, & V2V communications to create connected and cooperative cars.
A unique opportunity to interact with business leaders, influential technologists & entrepreneurs leading the connected car revolution. Learn from and connect with 150+ industry innovators sharing best practices and insights to advance the interconnected car and create more sustainable transport.
The South San Francisco Conference Center is centrally located on the edge of Silicon Valley, minutes from San Francisco Airport and 20 minutes from downtown San Francisco.
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