In 1960, Andrey Kolmogorov posed a seemingly impossible challenge at a seminar at Moscow State University: could there be a ...

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 ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...

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 ...

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out irrelevant data.

New machine learning algorithm promises advances in computing Digital twin models may enhance future autonomous systems Date: May 9, 2024 Source: Ohio State University Summary: Systems controlled ...

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

Increased automation: As machine learning algorithms progress, they will be able to automate a larger range of jobs, requiring less human input and boosting productivity.