Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...

A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...

Khrystyna Voloshyn, Data Scientist, Tamarack Technology Scott Nelson, Chief Technology and Chief Product Officer, Tamarack ...

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

By applying machine learning to experimental data in materials science, it may be possible to replicate such intuition ...

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

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.

Elon Musk is once again predicting the end of a technology most people still consider indispensable, arguing that the ...