Machine learning is an integral part of high stakes decision making in a broad swath of human-computer interactions. You apply for a job. You submit a loan application. Algorithms determine who ...

This review article delves deeply into the various machine learning (ML) methods and algorithms employed in discerning protein functions. Each method discussed is assessed for its efficacy, ...

Researchers have consistently sought ways to exploit this property, leading to significant breakthroughs that span various machine-learning applications. One of the main challenges identified in this ...

The full deployment of sixth-generation (6G) networks is inextricably connected with a holistic network redesign able to deal with various emerging challenges, such as integration of heterogeneous ...

In a novel study, researchers from the Icahn School of Medicine at Mount Sinai introduced LoGoFunc, an advanced computational tool that predicts pathogenic gain- and loss-of-function variants ...

Value decomposition separates a reward function into distinct components and learns value estimates for each. These value estimates provide insight into an agent's s learning and decision-making ...

Editorial on the Research Topic Machine learning for peptide structure, function, and design Peptides with a length from 2 to 50 amino acids play important roles in the biological process and ...