In an era where artificial intelligence (AI) and machine learning (ML) are driving unprecedented innovation and efficiency, a new class of cyber threats has emerged that puts sensitive data and entire ...

We’re living in a time when data shapes almost every choice we make, from picking a winning football team to deciding where ...

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 ...

Orbital-free approach enables precise, stable, and physically meaningful calculation of molecular energies and electron ...

Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in ...

Crop pests cause substantial yield losses worldwide and pose persistent challenges to sustainable agriculture.

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

There are really only one or two names right now that stand to dramatically benefit from the rise of next-generation edge computing solutions. In simplest terms, edge computing is computing work that ...