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Mr. Marc Hamilton

 

 

Mr. Marc Hamilton

Vice President of Solutions Architecture  and Engineering

NVIDIA

 Education:

  • Hamilton a Master of Science in electrical engineering from the University of Southern California.

 Experiences:

  • Marc Hamilton leads the worldwide solutions architecture and engineering team at NVIDIA. He is responsible for working with customers and partners to deliver the world’s best end-to-end solutions for artificial intelligence and deep learning, professional visualization, and high performance computing.

 Biography:

 

  • Marc Hamilton leads the worldwide solutions architecture and engineering team at NVIDIA. He is responsible for working with customers and partners to deliver the world’s best end-to-end solutions for artificial intelligence and deep learning, professional visualization, and high performance computing.

  • Prior to joining NVIDIA in 2013, Hamilton worked at HP in the hyperscale business unit, and at Sun Microsystems in the HPC and data center groups. He also worked at TRW, developing HPC applications for the U.S. aerospace and defense industry. 

  • Hamilton has published several technical articles and a book on software development.

  • Hamilton holds a Bachelor of Science in math and computer science from UCLA, and a Master of Science in electrical engineering from the University of Southern California.

 

 Abstract:

 

AI is transforming every industry, but perhaps none more than transportation. From how we interact with vehicles, to how they drive us, to how our city's infrastructure will automatically adjust to reduce traffic congestion, deep learning is playing a vital role.

It’s not possible to write software to handle every encounter, decision, and situation that a self-driving car will need to make. Deep learning, a form of AI, solves these complex problems by using data to write software, which can be processed at higher speeds and with greater accuracy than humanly possible. 

On the path to fully self-driving cars, AI is being used to act as guardians for drivers while they are driving. As many automakers are targeting the start of the next decade for production rollout, this session will provide insights into and showcase demonstrations covering the current state-of-the-art in production vehicles and how the industry plans to put self-driving cars on the road in the near future.

 

 

 

 

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