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Found 7 papers, 2 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.
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 Microarchitecture Implementation Framework for Online Learning with Temporal Neural Networks
Temporal Neural Networks (TNNs) are spiking neural networks that use time as a resource to represent and process information, similar to the mammalian neocortex.
Unsupervised Clustering of Time Series Signals using Neuromorphic Energy-Efficient Temporal Neural Networks
Unsupervised time series clustering is a challenging problem with diverse industrial applications such as anomaly detection, bio-wearables, etc.
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.
Direct CMOS Implementation of Neuromorphic Temporal Neural Networks for Sensory Processing
The TNN microarchitecture framework is embodied in a set of characteristic equations for assessing the total gate count, die area, compute time, and power consumption for any TNN design.
Hardware Aware Neural Network Architectures using FbNet
This will potentially enhance the ``hardware awareness" and help us find a neural network architecture that is optimal in terms of accuracy, latency and energy consumption, given a target device (Raspberry Pi in our case).
