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State of AI and ML-Spring 2019
State of AI and ML-Spring 2019
0 DAYS TO THE EVENT
In this event as part of series of regularly planned events, we plan to cover the state-of-the art advances in AI technology. We focus on AI Accelerators, Self-Driving and Face Processing. We feature five thought leaders from Computing, Autonomous systems and Computer Vision.
When
Apr 04, 2019, 1:00 PM – 7:00 PM
Where
SC12 Auditorium,
3600 Juliette Ln, Santa Clara, CA 95054
For Early Bird and IEEE/ACM pricing
Details
Event Registration
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Dr. Kiran Gunnam

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Talk 4:  Expectations from an AI Co-Processor for ADAS and Autonomous Driving

Bio and Abstract

Head of AI & Computer Vision,  the ADAS Group of Visteon Corporation

Dr. Vikram Narayan

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Talk 5: Introduction to Face Processing with Computer Vision

Bio and Abstract

Founder, Scalar Research

Mr.Gabriel Bianconi

Speakers
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Key Note : Emergence of RISC-V computer architecture: embedded applications and machine learning acceleration

Bio and Abstract

Sr. Director of Next Generation Platform Technologies at Western Digital Corporation, Board of Directors member of RISC-V foundation. 

Dr. Zvonimir Bandić

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Talk 2: Accelerating Deep Neural Network Inference with FPGAs

Bio and Abstract

Director, Data Center IP Solutions at Xilinx

Mr. Rahul Nimaiyar

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Talk 3: An ASIC approach to unlock deep learning innovation

Bio and Abstract

Sr. Director AI Strategy and Products at eSilicon

Dr. Carlos Macian

Program Schedule

Don’t Miss Out

In this event as part of series of regularly planned events, we plan to cover the state-of-the art advances in AI technology. For this event, we focus on AI Accelerators, Self-Driving and Face Processing. We feature five thought leaders from Computing, Autonomous systems and Computer Vision.

Each talk is 45 minutes followed by 10 minutes for Q&A.

Check In: 1.00pm-1.30pm

 

Key Note : "Emergence of RISC-V computer architecture: embedded applications and machine learning acceleration”,

Dr. Zvonimir Bandić, Sr. Director of Next Generation Platform Technologies at Western Digital Corporation, Board of Directors member of RISC-V foundation.  1.30pm-2.25pm

Talk 2:“Accelerating Deep Neural Network Inference with FPGAs”, Mr. Rahul Nimaiyar, Director, Data Center IP Solutions at Xilinx. 2.30pm-3.25pm

Talk 3 “An ASIC approach to unlock deep learning innovation”, Dr. Carlos Macian, Sr. Director AI Strategy and Products at eSilicon. 3.30pm-4.25pm

Break for Networking and Snacks: 4.25pm-5.00pm

Talk 4: “Expectations from an AI Co-Processor for ADAS and Autonomous Driving”, Dr. Vikram Narayan, Head of AI & Computer Vision, the ADAS Group of Visteon Corporation, 5.00pm-5.55pm

Talk 5: "Introduction to Face Processing with Computer Vision", Mr.Gabriel Bianconi, Founder, Scalar Research, 6:00pm-6.55pm

See this link for speaker bios and abstracts

Program Chair:  Dr. Kiran Gunnam, Distinguished Engineer - Machine Learning & Computer Vision

 

We believe ML and AI  should be as accessible as possible. Ticket passes are priced to break-even for covering event expenses and sell out in advance.

Program Schedule
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In this event as part of series of regularly planned events, we plan to cover the state-of-the art advances in AI technology. For this event, we focus on AI Accelerators, Self-Driving and Face Processing. We feature five thought leaders from Computing, Autonomous systems and Computer Vision. Registration is

open now!

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ValleyML.ai will highlight leading AI research, as well as cover the successful implementation of machine learning and AI in business.  Speakers will address unique roadblocks and cover innovative solutions to real problems faced by ML and AI practitioners and teams.

Why Should I attend

For this event, we focus on AI Accelerators, Self-Driving and Face Processing. We feature five thought leaders from AI hardware and Computing architectures, Autonomous systems and Computer Vision.

Come hone your career. Learn about practical, and futuristic applications of AI and ML in broad spectrum of industries. Join today!

 

 

 

 

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In the series of meetings, we plan to cover the state-of-the art advances in AI and ML technology.

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Joining together under one roof will be:

  • Technical Experts

  • Machine Learning/deep learning PhDs and researchers

  • Business leaders

  • Industry experts

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