This study presents a large, systematically curated catalog of non-canonical open reading frames (ncORFs) in human and mouse by reanalyzing nearly 400 Ribo-seq datasets using a standardized pipeline; ...
Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...
Abstract: An innovative framework that leverages artificial intelligence (AI) and graph representation for semiconductor device encoding in TCAD device simulation is proposed. A graph-based universal ...
The $12K machine promises AI performance can scale to 32 chip servers and beyond but an immature software stack makes ...
This manuscript makes a valuable contribution to understanding learning in multidimensional environments with spurious associations, which is critical for understanding learning in the real world. The ...
Abstract: Early prognostic prediction is crucial for determining appropriate clinical interventions. Previous single-omics models had limitations, such as high contingency and overlooking complex ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback