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Digital Storage and Memory for AI from the Edge to the Data Center
September 22 @ 10:30 am - 11:30 am
Applying AI at the edge and endpoints often requires working under non-data center environments and in power constrained conditions. AI inference also requires significant memory to hold weighting values from training. New non-volatile memories can help provide more memory in a given device die and use less power than NOR flash, SRAM or DRAM. This presentation will talk about changes in the memory/storage hierarchy and how it will change memory and storage in data centers and embedded devices to support energy efficient and low latency AI applications.
Co-sponsored by: Boise State University Electrical and Computer Engineering (ECE) Department
Speaker(s): Tom Coughlin,
Room: 114, Bldg: Micron Engineering Center, 1020 S Manitou Ave, Boise, Idaho, United States, Virtual: https://events.vtools.ieee.org/m/281792