To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

A research team from the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences has released ...

Understanding how cities grow is vital for shaping sustainable urban futures—but mapping the true extent of urban expansion remains a formidable technical hurdle. A new global study takes on this ...

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 ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve researchers' ability to detect complex genetic alterations in cancer ...

The I-Con framework opens new avenues for AI discovery by organizing more than 20 ML algorithms into a unified structure, much like a periodic table for machine learning.

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

Additionally, the emergence of machine learning, which allows computer systems to automatically learn from data and algorithms to improve their performance, has shown great potential in omics research ...

Download this Algorithm Flowchart Machine Learning Isometric Icon Vector Illustration vector illustration now. And search more of iStock's library of royalty-free vector art that features Absence ...

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 ...