When you listen to quantum enthusiasts, you may feel tempted to treat QML as an emerging silver bullet, which it isn’t.

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend ...

Instead of acting as isolated tools, ML, DT, and Edge AI work together to create intelligent, adaptive, and self-optimizing ...

Imagine having a super-powered lens that uncovers hidden secrets of ultra-thin materials used in our gadgets. Research led by ...

Wireless power transfer (WPT) systems deliver electricity without cables but often struggle with voltage stability when loads change. In this study, researchers developed a machine learning-based ...

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

Multi-target quantum compilation algorithm. Machine Learning: Science and Technology, 2024; 5 (4): 045057 DOI: 10.1088/2632-2153/ad9705 ...

5. Transportation and logistics optimization. Machine learning algorithms can be used to optimize transport routes and schedules. For instance, you can analyze real-time traffic data to determine the ...

By Paul McClure June 15, 2023 Researchers have developed a machine-learning model to identify chemicals that may combat aging Depositphotos View 1 Images ...