Deep Learning, Vision and Speech – An Update from the Trenches
Mar 06, 2019
Spectacular successes by deep learning platforms in computer vision, speech and other pattern recognition tasks are capturing the attention of software developers and system architects across many applications. In this talk, Chris Rowen outlines the key ideas of deep learning, explores the systematic improvements in accuracy in perception and recognition tasks, and looks at the rapid changes in underlying computer architectures, in application development methods, and in human-machine interfaces.
Two examples are presented to highlight the impact of deep learning on the electronic world. First, Chris evaluates the technical and market implications of combining low-cost cameras with very smart vision algorithms, thereby driving basic shifts on the role of imaging. The second example explores the technically adjacent opportunities in speech processing. New neural network methods are allowing never-before-heard improvements in noise reduction, speech enhancement and speech recognition. Finally, Chris looks at how deep learning innovations are flowing around the globe, helping to spur both new academic research and new company formation on six continents.
About the Speaker
Chris Rowen is a well-known Silicon Valley entrepreneur and technologist, now serving as co-founder and CEO of BabbleLabs, working at the intersection between speech science and deep learning. He was CTO for Cadence’s IP Group, where he developed new processor and memory for advanced applications in mobile, automotive, infrastructure, deep learning and IoT systems. He founded and led Tensilica from 1997 as it popularized application-specific processor cores and became one of the most prolific embedded processor 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 and was named an IEEE Fellow in 2015.
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