Mastering programming languages like Python and understanding machine learning fundamentals is essential.Building real-world ...

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

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Multimodal machine learning (MML) is a tempting multidisciplinary research area where heterogeneous data from multiple modalities and machine learning (ML) are combined to solve critical problems.

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This is a review of quantum methods for machine learning problems that consists of two parts. The first part, "quantum tools", presented some of the fundamentals and introduced several quantum tools ...

The new initiative also works with 11 universities, colleges, community colleges around the state to help with development of ...

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 ...