Transformer networks have emerged as the state-of-the-art approach for
n...
Meeting the staggering bandwidth requirements of today's applications
ch...
Tiny Machine Learning (TinyML) applications impose uJ/Inference constrai...
2.5D integration is an important technique to tackle the growing cost of...
Chips with hundreds to thousands of cores require scalable networks-on-c...
Low-precision formats have recently driven major breakthroughs in neural...
The detection of new or enlarged white-matter lesions in multiple sclero...