Deep Learning Data Scientist, Artificial Intelligence Products Group (AIPG)
Shaw is a Deep Learning Data Scientist at Intel AI. He studied reinforcement learning for applications in multi-robot coordination for his Ph.D. from Oregon State University. His work at Intel AI involves hybridizing evolutionary methods with policy gradients for sample-efficient reinforcement learning. He looks to apply these towards improved kernel mapping for next-generation Intel chipsets.
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