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Found 4 papers, 1 papers with code
Realtime Person Identification via Gait Analysis
In this paper, we propose a small CNN model with 4 layers that is very amenable for edge AI deployment and realtime gait recognition.
Towards a Design Framework for TNN-Based Neuromorphic Sensory Processing Units
Temporal Neural Networks (TNNs) are spiking neural networks that exhibit brain-like sensory processing with high energy efficiency.
TNN7: A Custom Macro Suite for Implementing Highly Optimized Designs of Neuromorphic TNNs
Recent works have proposed a microarchitecture framework for implementing TNNs and demonstrated competitive performance on vision and time-series applications.
A Custom 7nm CMOS Standard Cell Library for Implementing TNN-based Neuromorphic Processors
A set of highly-optimized custom macro extensions is developed for a 7nm CMOS cell library for implementing Temporal Neural Networks (TNNs) that can mimic brain-like sensory processing with extreme energy efficiency.
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