X Engineered Materials demonstrates how AI offers a path toward more resilient, sustainable, and future-ready manufacturing.

A small region of the brain, known as the ventral tegmental area (VTA), plays a key role in how we process rewards. It ...

To teach a machine-learning ... algorithm is now good at predicting when a heartbeat will happen, it can quickly learn to detect these irregularities. Previous research has shown, and our work ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

Eventually, with luck, the process converges. The variants on steepest descent try to improve the convergence properties. machine learning algorithms are even less straightforward than nonlinear ...

In recent years, machine learning (ML ... Even though an algorithm can function well in the controlled conditions of the development process, real-world applications can throw you a curveball.

Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve ...

Laser-based metal processing enables the automated and precise production of complex components, whether for the automotive industry or for medicine. However, conventional methods require time- and ...

For a quantum computer to simulate dynamic processes or process data ... quantum compilation algorithm. They published their new study in the journal Machine Learning: Science and Technology ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

AI is already cutting mortgage underwriting from weeks to minutes, reducing bias, lowering costs, and improving access to ...