AI enabled in-vehicle scene analysis and modern automotive-grade AI chips

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Meeting ID: 897 8649 4124
Passcode: 110420
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This session covers the latest advancements and advantages of fusing a portfolio of vision AI neural networks using multiple cameras with other types of in-cabin sensor data in real-time. Enabling new real-world use cases for enhanced safety and optimized comfort, this session will further cover how the next generation of AI chips will enable efficient inference, capable of generating new types of data and monetization models, in this third living space.

Key takeaways:

• Latest technologies in vehicle interior scene analysis through in-cabin sensor fusion AI: camera, radar and thermal!
• Integration of modern AI algorithms into the next gen of AI-enabled processors.
• Supercharging the safety and comfort of future vehicles while enabling the new passenger economy through data monetization opportunities in this new consumer space.

Speaker:

Modar Alaoui, Founder and CEO, Eyeris

Speaker Bio:
Modar is a serial technologist entrepreneur and expert in vision AI for human behavior understanding, modeling and prediction. He is currently the founder and CEO of Eyeris, the worldwide leader of visual behavior understanding AI inside autonomous and highly automated vehicles (HAVs).
Modar graduated from Concordia University Montréal, with a concentration on Human Behavior Understanding (HBU) and user measurement using artificial intelligence technologies. He combines over a decade of experience in computer vision and applied human-centered AI for a wide range of enterprise applications. His work focuses on bridging human-machine interaction with predictive invisible interfaces through qualitative face and body language reading AI. He is a frequent speaker and keynoter with over 25 speaking engagements in 2017 alone in the US, Asia and Europe. His talks revolve around “human-centered ambient intelligence” as the next frontier in AI. He is the foremost expert in the subject matter, a winner of several technology and innovation awards and has been featured on Bloomberg, the Wall Street Journal, Time magazine, CNBC and many major international media publications spanning 8 different languages for his work.