Increases in computing power and the availability of more data through social media and crowdsourcing have facilitated the use of machine-learning in psychological research. Machine learning has been ...

Forecasting inflation has become a major challenge for central banks since 2020, due to supply chain disruptions and economic uncertainty post-pandemic. Machine learning models can improve forecasting ...

Artificial intelligence vs. physicians: Quality of oncology patient education materials. This is an ASCO Meeting Abstract from the 2024 ASCO Quality Care Symposium. This abstract does not include a ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

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 ...

On April 18, 2025, the United States Court of Appeals for the Federal Circuit ("Federal Circuit") issued a significant decision in Recentive Analytics, Inc. v. Fox Corp., affirming dismissal, by the ...

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 ...

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 ...

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 ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...