The Future of Neuromorphic Computing - Presented by Intel
Mike Davies, Intel
December 2, 2019 | Future Compute
AI has provided computers with near-human levels of data perception, and neuromorphic computing aims to take this a step further – chips directly inspired by biological neural circuits so they can process new knowledge, adapt, and learn in real time at low power levels. This technology has advanced rapidly in recent years and, today, Intel’s Loihi neuromorphic research chip has a growing body of quantitative results demonstrating outperformance versus conventional architectures. The results point to compelling scaling trends, as these systems are scaled up to millions of neurons, providing a roadmap for future breakthroughs in AI. This session shares the latest progress from Intel’s neuromorphic research: algorithmic innovations, community-wide collaboration, and emerging real-world applications from gesture recognition to robotic control to monitoring power grids and more.
Mike Davies, Director of Neuromorphic Computing Lab, Intel
Mike Davies is Director of Intel’s Neuromorphic Computing Lab. Since joining Intel Labs in 2014, Mike has researched neuromorphic prototype architectures, algorithms, software, and systems. His group is responsible for Intel’s Loihi research chip. Previously, as a founding employee of Fulcrum Microsystems and its director of silicon engineering, Mike pioneered high performance asynchronous design methodologies as applied to several generations of industry-leading Ethernet switch products. He joined Intel in 2011 by Intel’s acquisition of Fulcrum.