Researchers at UCLA’s Institute of the Environment and Sustainability have built a deep learning model that generates statewide kelp canopy maps for California, processing tens of thousands of ...

A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to patient outcomes using widely available bulk RNA sequencing data. The approach ...

Kilmer’s estate collaborated with the filmmakers to make a digital likeness of the actor, who died of cancer last year.

Abstract: The concepts of conditional mutual information (CMI) and normalized CMI (NCMI) are introduced to measure the concentration and separation performance of a classification deep neural network ...

Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, ...

However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...

Managing complex medical conditions often requires the simultaneous use of multiple different drugs, referred to as polypharmacy. While necessary, this significantly increases the risk of drug-drug ...

Evaluation of deep learning tools underscores strengths, limitations and opportunities for next‑generation hybrid modeling.

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...

Artificial intelligence, particularly deep learning (DL), has immense potential to improve the interpretation of transthoracic echocardiography (TTE). Mitral regurgitation (MR) is the most common ...