By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

Researchers led by Xian-Yang Qin at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score that predicts the risk of liver cancer. Published in the scientific journal ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

Can you design a mechanism that will trace out the shape of a heart? How about the shape of a moon, or a star? Mechanism ...

Most bacteria, including many bacterial pathogens, are surrounded by an outer protective layer of sugar molecules, known as a capsule. This primarily protects the bacteria from environmental ...

Industrial yeasts are a powerhouse of protein production, used to manufacture vaccines, biopharmaceuticals, and other useful ...

Design engineers routinely rely on bolted joints, yet most guidance focuses on axial stiffness—often overlooking moment (pitch) stiffness, which can dominate compliance in ...

Brain slice electrophysiology, immunohistochemistry, and in vivo two-photon calcium imaging identify circuit dysfunction and epilepsy mechanism in a Kcnc1-A421V/+ mouse model of developmental and ...