A new generation of JVM technologies is reshaping how businesses build, deploy, and scale mission-critical Java applications.

Nearly two-thirds of Java users surveyed rely on Java for developing AI applications, with JavaML, Deep Java Library, and OpenCL being the most-used libraries.

Overview Swift is ideal for Apple ecosystem apps, while Kotlin dominates Android-based app development.Kotlin 2.0’s faster K2 ...

Copilot Pro+ and Copilot Enterprise users now can run multiple coding agents directly inside GitHub, GitHub Mobile, and ...

New benchmark shows top LLMs achieve only 29% pass rate on OpenTelemetry instrumentation, exposing the gap between ...

Coforge Limited (NSE: COFORGE), a global digital services and solutions provider, today announced expanded new capabilities for Coforge CodeInsightAI, its agentic AI-powered code intelligence and ...

Newsweek speaks with Klarna CEO Sebastian Siemiatkowski about disrupting norms, engaging customers and finding cheaper mortgages ...

With OpenAI's latest updates to its Responses API — the application programming interface that allows developers on OpenAI's platform to access multiple agentic tools like web search and file search ...

Walmart Mexico is the first Latin American company to use the video game Fortnite for recruitment as Mexico's technology ...

Arduino is a microcontroller designed for real-time hardware control with very low power use. Raspberry Pi is a full computer that runs operating systems and handles complex tasks. Arduino excels at ...

As AI makes building systems cheaper and faster, global enterprises won’t stop buying. Instead, they will finally greenlight ...

Funding led by Tensor Ventures and including Begin Capital and Adara Ventures will accelerate AppFactor’s AI platform that discovers, regenerates, and ...