SK hynix and TetraMem collaborate on experimental chip to bolster energy efficiency for edge AI devices —…SK hynix, TetraMem, and the University of Southern California built a memristor-based in-memory computing system-on-chip for AI edge devices, achieving promising energy efficiency, but failed to demonstrate its full pot…https://www.tomshardware.com/tech-industry/artificial-intelligence/sk-hynix-and-tetramem-collaborate-on-experimental-chip-to-bolster-energy-efficiency-for-edge-ai-devices-memristor-based-in-memory-soc-research-leaves-performance-questions-up-in-the-air#Tech #Technology #TechNews #AI #Gadgets #Software #Cybersecurity #Apple #Google #Microsoft #Startup #OpenSource #TomsHardware [Tom's Hardware]
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