Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

From industrial robots to self-driving cars, engineers face a common problem: keeping machines steady and predictable. When ...

The high quality of the produced compounds revealed that the scoring model function was highly relevant for de novo drug creation. Overall, the study findings showed that the latent score ...

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks. Artificial intelligence ...

Machine learning, a branch of artificial intelligence, allows a computer to teach itself how to solve problems by analyzing large sets of data.

The illustration depicts some of the innovative ideas that underpin the new machine learning model that can quickly and accurately predict the dielectric function of simple molecules, such as shifting ...

Find out why backpropagation and gradient descent are key to prediction in machine learning, then get started with training a simple neural network using gradient descent and Java code. Most ...

In a recent study published in Scientific Reports, researchers showed that a simple string-pulling task could help make a reliable assessment of shoulder mobility across animals and humans. Across ...

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...