The field of industrial production is increasingly dependent on materials whose origins and behaviors are intricately tied to geological processes and ...

From predicting coating hardness to fine-tuning spray parameters, AI is redefining how industries develop and apply protective coatings. Machine learning and predictive models are helping engineers ...

Cell culture is a foundational technology widely used across fields such as pharmaceutical production, regenerative medicine, food science, and materials engineering. A critical component of ...

A new study comparing machine learning-based portfolio optimization with the traditional all-weather portfolio found that certain AI models, including LASSO and elastic net, delivered Sharpe ratios ...

Researchers have used machine learning to design nano-architected materials that have the strength of carbon steel but the lightness of Styrofoam. The team describes how they made nanomaterials with ...

Artificial intelligence (AI) and machine learning (ML) have emerged as transformative forces in the field of cardiovascular medicine. The increasing ...

From left to right: An image of the full lattice geometry is juxtaposed with an 18.75-million cell lattice floating on a bubble. Credit: Peter Serles / University of Toronto Engineering Researchers at ...

(Nanowerk News) Researchers at the University of Toronto’s Faculty of Applied Science & Engineering have used machine learning to design nano-architected materials that have the strength of carbon ...

Machine learning is often hailed as the universal solution for marketing challenges for SaaS (software as a service) businesses. Saving time on complex tasks? No question. Boosting conversions in ...

Artificial intelligence has become marketing’s favorite headline. Every platform, publisher and technology partner now promises “AI-powered” solutions that will make campaigns smarter, faster and ...