Tag: Edge AI

AI Machine Learning & Data Science Research

Toward Large-Scale Edge AI Adoption: Hotg.ai & UGent Publish a Comprehensive Review of TinyMLOps Challenges

A research team from Hotg.ai and Ghent University explores current challenges facing TinyML and techniques to reduce the compute, memory, and energy costs of ML models, providing insights for the large-scale deployment of edge AI.

AI AIoT Machine Learning & Data Science Research

ETH Zurich Leverages Spiking Neural Networks To Build Ultra-Low-Power Neuromorphic Processors

A research team from ETH Zurich leverages existing spike-based learning circuits to propose a biologically plausible architecture that is highly successful in classifying distinct and complex spatio-temporal spike patterns. The work contributes to the design of ultra-low-power mixed-signal neuromorphic processing systems capable of distinguishing spatio-temporal patterns in spiking activity.