Abstract: Integration of motor and power converter while leveraging wide-bandgap devices represents an emerging trend in motor drive systems, offering reduction in complexity, compactness, and cost ...

This content has been selected, created and edited by the Finextra editorial team based upon its relevance and interest to our community. The first agentic model to launch out of the bank's AI R&D ...

Data API Builder helps developers expose database objects through REST and GraphQL without building extensive custom data access code. Steve Jones' Visual Studio Live! San Diego 2026 session will show ...

The need for high-throughput and energy-efficient optical infrastructure, driven by AI demands, was a recurring theme at this month’s Optical Fiber Communications (OFC) conference in Los Angeles. The ...

SUNNYVALE, Calif.--(BUSINESS WIRE)--Azul, the trusted leader in enterprise Java for today’s AI and cloud-first world, today warned enterprises of a growing Java application modernization crisis driven ...

Artificial intelligence and related technologies are evolving rapidly, but until recently, Java developers had few options for integrating AI capabilities directly into Spring-based applications.

How are modern cars so damn fast right off the showroom floor? It almost isn’t even fair to compare them to cars from 20 years ago, even if the older car is modified and makes significantly more power ...

Candidates have submitted over 1.4 million applications for a state job with California this year, and they are well aware of the state’s reputation for a slow hiring process. But officials are hoping ...

MONROE, La. (KNOE) - Nevile Charter Association has applied to convert Neville High School into a Type 3 charter school. NCA is a separate organization and is not affiliated with Neville High School.

State transportation officials approved plans from New Haven and Milford officials to implement automated traffic cameras. The approval, issued last Friday, allows the municipalities to install ...

Abstract: Deep reinforcement learning (DRL) has emerged as a promising paradigm for the intelligent control of power electronic converters. It offers adaptability, model-free operation, and real-time ...