Google DeepMind researchers have introduced ATLAS, a set of scaling laws for multilingual language models that formalize how ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...

Complex human diseases—such as cancer, neurodegenerative disorders, autoimmune conditions, cardiometabolic disease, and chronic inflammatory syndromes—arise ...

Abstract: Advancements in machine learning (ML) have facilitated the prediction of key aspects of human locomotion, particularly in identifying subject gait trajectories essential for recognizing ...

Background While the incidence of hospital adverse events appeared to be declining before 2019, the COVID-19 pandemic may ...

While experimentation is essential, traditional A/B testing can be excessively slow and expensive, according to DoorDash engineers Caixia Huang and Alex Weinstein. To address these limitations, they ...

Abstract: Modern deep learning models have achieved superior performance in almost all fields of remote sensing. An often neglected aspect of these models is the quantification and evaluation of ...