Researchers have developed a technique that significantly improves the performance of large language models without ...

When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

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

The study’s authors note that small neural networks — simplified versions of the neural networks typically used in commercial ...

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 ...

Inside the Session What: Predicting the Future using Azure Machine Learning When: Aug. 7, 2025, 9:30 a.m. - 10:45 a.m. Who: Eric D. Boyd, Founder and CEO of responsiveX Why: Learn the fundamentals of ...

20+ Machine Learning Methods in Groundbreaking Periodic Table From MIT, Google, Microsoft Your email has been sent A new “periodic table for machine learning” is reshaping how researchers ...

As artificial intelligence (AI) and machine learning (ML) continue to advance, Linux has established itself as the preferred environment for AI development. Its open source nature, security, stability ...

But while it still plays a part in our machine learning, AI PC, it’s not the lynchpin. Still, you want a modern one with lots of cores and preferably a strong upgrade path for the future, too.

ABSTRACT Introduction The recent development of the deep learning algorithm as a new multilayer network machine learning algorithm has reduced the problem of traditional training algorithms easily ...