Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

Machine learning (ML) is rapidly emerging as a powerful tool to improve the safety, reliability, and long-term performance of marine structures exposed to harsh ocean environments. This study presents ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

A low-dimensional voice latent space derived from deep learning captures speaker-identity representations in the temporal voice areas and supports reconstruction of voices preserving identity ...

A Marshall University – University of Missouri team has reported a web-based deep-learning platform that combines six common ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.

As AI embeds itself into every corner of business, most executives continue to underestimate the distinct security risks ...

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...