Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

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 ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

So now, suddenly, when faced with terms like “hyperparameter tuning” and “unsupervised learning,” a 50-year-old brain initiates its own version of a denial-of-service attack in these courses.

Machine learning (ML) has been instrumental in solving complex problems and significantly advancing different areas of our lives. Decision tree-based methods have gained significant popularity among ...

Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, molecules, and materials.

How should companies be thinking about investing resources toward AI capabilities? It’s no longer a question of whether to ...

An artificial intelligence (AI) model developed by Google DeepMind in London could help scientists to make sense of this ...

Join Dr. Juan Felipe Beltrán, a leading scientist and software engineer with deep expertise in machine learning, algorithm development, and bioinformatics, for an insightful webinar exploring the ...

BullFrog AI leverages Artificial Intelligence and machine learning to advance drug discovery and development. Through collaborations with leading research institutions, BullFrog AI uses causal AI in ...