"Machine Learning Techniques for Electricity Theft Detection in Smart Grids: A Comprehensive Review," published in Energies ...

When generative AI (GenAI) first arrived, I was in charge of a large team of data and machine learning engineers. We had built a full ML platform from scratch and had dozens of models in production ...

RBI Deputy Governor Rohit Jain discussed the future of India's foreign exchange markets, highlighting the increasing role of ...

Traditionally, the Food & Drug Administration’s (“FDA”) premarket review of medical devices assumes devices are static. A product is ...

AI systems can’t learn without context. Data annotation services are important. They convert raw input into labeled, structured data. This data is usable for machine learning models. Industries use da ...

IN BRIEF Audit planning is one of the most complex but critical stages of the audit process. This leads auditors to look for ...

SpurPay is developing an AI-driven payment recovery platform that detects transaction failures, diagnoses underlying causes, and coordinates retries or routing adjustments in real time. The system ...

A Pasadena high school student built an artificial intelligence system to search one of astronomy’s largest datasets, ...

As AI becomes core banking infrastructure, model governance is shifting from periodic validation to continuous assurance. Who should audit the algorithms?

Women hold roughly 8 to 15 percent of CTO and CIO roles worldwide, and the numbers have barely moved in a decade. Researchers ...

AI and alternative data are changing credit underwriting, but the credit score is becoming a benchmark rather than ...

Frédéric Godemel, EVP of Energy Management at Schneider Electric, explains how AI, hybrid AC/DC systems and digital technologies can support Dubai’s transition to a smarter, more resilient and lower-c ...