Poster
in
Workshop: Machine Learning with New Compute Paradigms
Device Codesign using Reinforcement Learning and Evolutionary Optimization
Catherine Schuman · Suma Cardwell · Karan Patel · J. Smith · Jared Arzate · Andrew Maicke · Samuel Liu · Jaesuk Kwon · Jean Anne Incorvia
Abstract:
Device discovery and circuit modeling for emerging devices, such as magnetic tunnel junctions, require detailed and time-consuming device and circuit simulations. In this work, we propose using AI-guided techniques such as reinforcement learning and evolutionary optimization to accelerate device discovery, creativity of solutions, and automate optimization to design true random number generators for a given distribution. We present preliminary results designing true random number generators using magnetic tunnel junctions optimized for performance.
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