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ETHEREAL: A 25.6-$μ$s/inf. Low-latency Event-driven Graph-neural-network Processor for High-resolution Vision at the Edge

Published 1 month, 3 weeks ago
Description
## Episode Summary In this episode, we cover: - **ETHEREAL: A 25.6-$μ$s/inf. Low-latency Event-driven Graph-neural-network Processor for High-resolution Vision at the Edge** (arXiv) - **Dryas: A Reprogrammable Engine for High-Speed Interconnect Tracing and Analysis** (arXiv) - **The RISC-V Vector Extensions for AI - jonpeddie.com** (google_riscv) - **The Evolution of CPU Architectures – From Intel 4004 To Modern SoCs - wccftech.com** (google_arch) - **QuMA: Researchers Develop Quantum Microarchitecture that "Bridges the Gap" in Processor System Stacks - IEEE Computer Society** (google_arch) --- *Sponsored by Ada, Ago Consulting, and Zen Semiconductor*
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