Edge computing has naturally been a hot topic at CES with companies highlighting a myriad of use cases where the pre-trained edge device runs inference locally to produce the desired output, never ...
A new technical paper titled “Hardware Acceleration of Kolmogorov-Arnold Network (KAN) for Lightweight Edge Inference” was published by researchers at Georgia Tech, TSMC and National Tsing Hua ...
A technical paper titled “Fault-Tolerant Hardware Acceleration for High-Performance Edge-Computing Nodes” was published by researchers at University of Rome. “High-performance embedded systems with ...
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