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 ...

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

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

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 ...

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

By 2030, it’s expected that the market for streaming data will eclipse $73 billion, growing nearly 20% each year until then. More impressively, the machine learning market—which brought in $15 ...

More information: Zhenghao Yin et al, Experimental quantum-enhanced kernel-based machine learning on a photonic processor, Nature Photonics (2025). DOI: 10.1038/s41566-025-01682-5 ...