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Vision and the Deep Learning Explosion
September 21 @ 6:00 pm - 8:00 pm
Title: “Vision and the Deep Learning Explosion” by Dr. Chris Rowen, CEO, Cognite Ventures and Stanford University
Co-sponsored with Solid State Circuits Society
Thursday September 21, 2017, 6:00-8:00PM
Location: Texas Instruments Silicon Valley Auditorium
2900 Semiconductor Dr., Building E, Santa Clara, CA
Everyone sees the excitement about artificial intelligence, but what’s real? Everyone gets pumped up about smart drones and self-driving cars, but what does it take to really harness the potential of deep learning for real products? The academic benchmarks are impressive, but how does research translate into break-out businesses? Why is computer vision embracing deep neural networks so passionately?
This talk looks closely at artificial intelligence aka deep learning aka neural network aka cognitive computing technologies, maps out the affected applications and industries and dives into the profound impact it is having one example segment, computer vision. It explores the relationship among vision research, cloud and embedded AI product opportunities and the global explosion in the number of deep learning startups. Finally, it sketches some of the most important principles that successful startups are following to succeed in the frothy, frenetic and fascinating entrepreneurial game.
Dr. Chris is a well-known Silicon Valley entrepreneur and technologist, now head of the deep learning investment effort, Cognite Ventures and advisor to the Stanford SystemX Alliance . He has recently served as CTO for Cadence’s IP Group. Chris joined Cadence after its acquisition of Tensilica, the company he founded to develop extensible processors. He led Tensilica as CEO and later, CTO, to become one of the leading embedded architectures. Chris also was a pioneer in developing RISC architecture and helped found MIPS Computer Systems, where he was VP of Microprocessor Development. He holds an MSEE and PhD in electrical engineering from Stanford and a BA in physics from Harvard. He holds more than 40 US and international patents. He was named an IEEE Fellow in 2015 for his work in development of microprocessor technology.