From the perspective of technical implementation logic, this quantum convolutional network adopts an overall hybrid quantum-classical architecture design. First, classical data is mapped to the ...

"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 ...

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

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

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 ...

WiMi Hologram Cloud Inc. proposes a quantum convolutional neural network, utilizing three-qubit interactions to improve ...

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 ...