ISSCC 2025
Session 13
AI / ML
An 8.62μW 75dB-DRSoC End-to-End Spoken-LanguageUnderstanding SoC with Channel-Level AGC and Temporal-Sparsity-Aware Streaming-Mode RNN
Aalto University, Espoo, Finland 1 Voice-controlled IoT nodes and wearable devices require integrated real-time ultra-lowpower audio classification circuits to perform tasks such as Keyword Spotting (KWS) and Spoken Lang
ISSCC 2022
Session 29
AI / ML
ReckOn: A 28nm Sub-mm2 Task-Agnostic Spiking Recurrent Neural Network Processor Enabling On-Chip Learning over Second-Long Timescales
The robustness of autonomous inference-only devices deployed in the real world is limited by data distribution changes induced by different users, environments, and task requirements. This challenge calls for the develop