Artificial Intelligence (AI) and Machine Learning (ML) are increasingly integral to database management, driving new levels of automation and intelligence in how data systems are administered. Modern ...

Opinions expressed by Digital Journal contributors are their own. “In a world driven by data, my mission is to create innovative AI solutions that not only solve complex problems but also push the ...

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 ...

E-commerce giants are increasingly turning to machine learning (ML) techniques to ensure that their products reach the right audience at the right time, optimizing product discoverability and ...

Before Dyk, Prost, and Goldberg. Appeal from the United States District Court for the District of Delaware. Summary: The Federal Circuit found that claims applying established methods of machine ...

"We hope this can dramatically speed up discoveries in the field of superconductivity." One of the challenges in applying machine learning to quantum materials is the lack of sufficient high-quality ...

On April 18, 2025, the Court of Appeals for the Federal Circuit (CAFC) ruled in Recentive Analytics Inc. v. Fox Corp. et al. that new uses for established machine learning do not make the claims ...

Researchers have developed a machine learning workflow to optimize the output force of photo-actuated organic crystals. Using LASSO regression to identify key molecular substructures and Bayesian ...

The discovery of gravitational waves in 2015 marked a turning point in our understanding of the universe. But detecting these faint signals was only the beginning. The real challenge lies in ...