Advancing Neuromorphic Computing from the Lab to Mainstream Applications
Mike Davies, Director, Neuromorphic Computing Lab, Intel Labs, USA
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.
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.