[1/14] Excited to share that our neuromorphic chip ReckOn made it to #ISSCC! With this spiking RNN processor, we demonstrate for the first time end-to-end on-chip learning over second-long timescales.

Tune in to Session 29 on Feb 24 9am PST for the live Q/A... or see 👇 for a 🧵 [2/14] First, why on-chip learning? For continuous adaption to new/uncontrolled user and environment features, evolving task requirements, and privacy. However, no end-to-end solution has been proposed to date for on-chip learning with dynamic stimuli such as speech/video.