Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...

CSIRO researchers have used quantum machine learning to enhance semiconductor fabrication—a world-first that could reshape ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

AI can be leveraged to promote ESG goals within corporations and industries, but its escalating energy demands pose ...

So, in other words, you can absolutely expect the PS6 — which by this point is deep in development — to incorporate machine ...

In an era driven by data-intensive ecosystems and cloud-native software innovation, the need for robust, secure, and ...

XRM microscopy, combined with machine learning, revolutionizes materials research by enhancing imaging techniques for failure ...

Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, molecules, and materials.

In a first, Australian scientists turned to quantum machine learning to model semiconductor design, outperforming classical ...