Overview:  Deep learning uses multi-layer neural networks to learn patterns from data.CNNs, RNNs, LSTMs, transformers, and ...
BEVFormer-Tiny runs its neural-network stages in one Chimera GPNPU kernel. Six camera inputs, 16.1 million cycles per frame ...
An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.
An initial step of most NMR studies is identifying peaks in the obtained spectrum. Producing a peak list is especially crucial if the spectrum is automatically prepared. Peak picking is still ...