Recentive Analytics, Inc. v. Fox Corp., No. 23-2437 (Fed. Cir. 2025) – On April 18, 2025, the Federal Circuit upheld the district court’s dismissal of the case on the ground that the patents were ...

Start-ups are evaluated across three main areas: financial performance, funding and valuation, and operational capabilities. The study focuses entirely on Series B and Series C start-ups. For states ...

A team of scientists from EPFL and Alaska Pacific University has developed an AI program that can recognize individual bears ...

1 Beijing Forestry University, Beijing, China 2 Ecological Environment Monitoring Center, Sichuan Forestry and Grassland Survey and Planning Institute, CHENGDU, China The final, formatted version of ...

Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...

Machine learning and other modeling approaches could aid in forecasting the arrival of floating Sargassum rafts that clog ...

Researchers develop an AI tool to predict cardiometabolic multimorbidity risk in type 2 diabetes, aiding early intervention and personalised care. Find out more.

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

Modern forex trading heavily depends on advanced analytics, machine learning, and real-time data processing. Big data platforms are boosting forecasting ...

Background While the incidence of hospital adverse events appeared to be declining before 2019, the COVID-19 pandemic may ...

AI is pushing Canada’s justice system toward a crisis of trust The post When Evidence Can Be Deepfaked, How Do Courts Decide What’s Real? first appeared on The Walrus.

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by laser-scanning technologies. Doing the same with forest data has proven far more ...