In the U.S., credit card fraud costs $5 billion annually, identity theft adds $16.4 billion, and Medicare fraud drains $60 billion each year. A new machine learning breakthrough generates accurate fraud labels from large, imbalanced datasets without costly, time-consuming labeled data. It outperforms traditional methods by reducing false positives and minimizing cases needing further inspection, crucial for sectors like Medicare and credit card fraud, where fast data processing is vital to preventing losses and improving efficiency.

The researcher Markel Perez has analysed the most frequent situations faced by football goalkeepers. The aim is to compile data to facilitate the design of more effective training. The work stresses the importance of practising the deflections and first touch shots that are produced. The study, carried out together with the Eibar football club, is innovative in the academic field.

When seawater penetrates concrete in road tunnels, a biofilm is formed that breaks down the concrete. This can lead to high costs and the risk of damage if stone and concrete drop from the tunnel roof.  In a new study, led by a team of researchers at Chalmers University of Technology in Sweden, research reveals the mechanisms behind the degradation, and its unexpectedly rapid progression.