Drug discovery has traditionally been slow, expensive and prone to failure, but AI and machine learning are set to change all ...

Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

The new capabilities are designed to enable enterprises in regulated industries to securely build and refine machine learning ...

As AI transforms business operations, it also magnifies data breach risks—demanding smarter, AI-specific security strategies ...

The study was published in the June 2025 issue of American Journal of Ophthalmology; researchers conducted a retrospective study to develop deep learning artificial intelligence (AI) models for ...

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

Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical changes and corrosion. The framework enables more accurate, data-driven ...

In recent decades, computer scientists have been developing increasingly advanced machine learning techniques that can learn ...

Key Takeaways Leading platforms like Coursera, edX, and Udacity offer structured and flexible learning paths in data ...

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