Paper Title: NVM Usage in the AI Era

Paper Abstract: Our human brain can be modeled as two distinctly different systems: a real time intuition system, and a background reasoning system. As we move into the AI compute era, Emerging Memory technologies play an increasingly important role in overcoming the limitations of DRAM and NAND. The commercialization of Emerging Memory will therefore accelerate our realization of powerful AI systems. In this talk, the speaker will: - Demonstrate the human brain has two distinct systems - Discuss the best fit compute architecture to model each AI system - Articulate how DRAM and NAND are applied to the compute architectures - Identify the key limitations of DRAM and NAND - Present and classify some Emerging Memory alternatives - Discuss the Emerging Memory system enhancements - Identify who is doing what (by when) in the Emerging Memory landscape - Articulate the unique challenges in realizing an AI intuition system - Propose how Emerging Memory may solve some intuition problems - Point to the future of AI systems based on Emerging Memory

Paper Author: Dave Eggleston, Principal/Owner, Intuitive Cognition Consulting

Author Bio: Dave Eggleston is the owner and Principal of Intuitive Cognition Consulting, and he provides strategy and business development services to leading NVM and Storage clients. Dave’s extensive background in Flash, MRAM, RRAM, and Storage is built on 30+ years of industry experience serving as VP of Embedded Memory at GLOBALFOUNDRIES, CEO of RRAM pioneer start-up Unity Semiconductor (acquired by Rambus), Director of Flash Systems Engineering at Micron, NVM Product Engineering manager at Sandisk, and NVM Engineer at AMD. Dave is frequently invited as a speaker at international conferences as an expert on emerging NVM technologies and their applications. He holds a BSEE degree from Duke University, a MSEE degree from Santa Clara University, and 25+ NVM related granted patents.