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

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

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its ...

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

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

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 ...

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 ...

What will high-performing content look like in 2026? Experts share how to adapt, lead, and prove the value of human ...

SYDNEY, Jan. 3, 2026 /PRNewswire/ -- Samsung Electronics has begun unveiling hero products that will join its 2026 line-up, ...

A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...