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

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

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

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 ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

Both generative AI and machine learning use algorithms to address complex challenges, but generative AI uses more sophisticated modeling and more advanced algorithms to add a creative element ...

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

Machine learning-powered location data intelligence is a powerful tool that can offer transformative benefits. However, like any tool, it needs to be used wisely and responsibly.

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 ...