Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.
16h
New method reveals how mutations drive transthyretin amyloidosis and guides precision drug design
An international research team reveals new molecular mechanisms associated with pathogenic mutations in the protein ...
Potentially more than 90% of Alzheimer's disease cases would not occur without the contribution of a single gene (APOE), ...
GenAI isn’t magic — it’s transformers using attention to understand context at scale. Knowing how they work will help CIOs ...
You might be paying for cell phone minutes you don't need. By the same token, if you're exceeding your monthly plan, overtime ...
Abstract: Hyperspectral target detection (HTD) relies on prior target spectra to locate the targets of interest within hyperspectral images (HSIs). Recently, deep learning methods have shown their ...
Abstract: Unsupervised change detection (CD) algorithms typically identify changed areas by comparing pixels or ground objects in co-registered bi-temporal images. However, due to small viewpoint ...
A newly launched market survey shows the U.S. Air Force is close to launching development of a new version of the Lockheed Martin C-130J for the arctic mission. A fleet of LC-130Hs modified with skis ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback