Advancing Neuromorphic Computing from the Lab to Mainstream Applications 

Mike Davies, Director, Neuromorphic Computing Lab, Intel Labs, USA

[강연 요약]

Deep artificial neural networks have provided breakthroughs in AI in the form of near-human levels of data perception in many problem domains. Neuromorphic computing aims to take this a step further – chips directly inspired by the form and function of biological neural circuits so they can process new knowledge, adapt, behave, and learn in real-time at extremely low power levels.  After several decades of research, this technology is now reaching maturity.  Today, leading neuromorphic research chips such as Intel’s Loihi have a growing body of results showing quantitative gains compared to conventional architectures.  This talk will share an overview of Loihi and results to date suggesting a roadmap of disruption spanning edge to data center computing applications.

[주요 경력]

Mike Davies is Director of Intel’s Neuromorphic Computing Lab. His group researches brain-inspired architectures, algorithms, software, and systems. He has fabricated several neuromorphic chip prototypes to date including Loihi.  Mike joined Intel through the acquisition of Fulcrum Microsystems. As a founding employee and director of Fulcrum’s silicon engineering, Mike pioneered high-performance asynchronous design methodologies as applied to several generations of industry-leading Ethernet switch products.