Abstract: The computational complexity of the Transformer model grows quadratically with input sequence length. This causes a sharp increase in computational cost and memory consumption for ...
Discover how researchers are overcoming the limitations of the undruggable target in drug discovery using novel approaches ...
A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...
Abstract: At present, maritime transportation is bustling and ship collision incidents occur frequently. This paper utilizes the concept of reachable set to describe ship maneuverability, in order to ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
Dengue and chikungunya, the two mosquito-borne diseases that frequently circulate at the same time, share the same Aedes ...
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