Requesty says its tech tightens security and brings down the costs of accessing large language models. It raised $3 million.

Hands on with GitHub’s open-source tool kit for steering AI coding agents by combining detailed specifications and a human in ...

Vamsi Krishna Koganti, a distinguished Senior Software Engineer and technology leader based in Celina, Texas, brings over 13 years of experience transforming enterprise-scale applications and ...

USF Board of Trustees voted to approve plans for a mixed-use project called the Fletcher District. Plans include housing, a hotel, retail space and restaurants. Dog spends days digging large hole, ...

Pennsylvania Gov. Josh Shapiro on Monday approved SEPTA's plan to use capital project money to fund daily operations for the next two years, meaning the transit authority's "doomsday" service cuts ...

Many major airlines are beefing up their in-flight internet offerings by tapping SpaceX’s Starlink satellites, but JetBlue is going in a different direction. Amazon and JetBlue announced Thursday a ...

The Lake Wales City Commission approved the annexation of 1,240 acres for a new mixed-use development called Stoneridge. Numerous residents voiced strong opposition, arguing the project contradicts ...

When considering how to display your items in an organized yet stylish way, it’s sometimes fun and, maybe, necessary to think outside the box. Sometimes these solutions are unexpected, vintage finds ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The key difference between the Spring @Bean and @Component annotations is that the @Bean ...

Noria will deploy its ‘AquaPhi’ tracking technology at the Aurea Solar project. Image: Noria. US floating solar developer Noria Energy has started construction on a 50kW floating PV (FPV) pilot ...

The companies that are succeeding with in-house AI, however, have seen revenue jump from zero to $20 million in a year. U.S. businesses have invested between $35 billion and $40 billion into internal ...

Abstract: Scaling Machine Learning (ML) workflows in cloud environments presents critical challenges in ensuring reproducibility, low-latency inference, infrastructure reliability, and regulatory ...