Japanese chip maker EdgeCortix validated its SAKURA-II edge computing platform in a U.S. Air Force flight exercise.

Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.

Look to these tools to improve your AI coding practices and the quality, security, and reliability of your AI-generated code.

Azul’s free risk assessment for Java estates addresses the blind spot that autonomous AI exploitation tools are increasingly ...

Intel says its new Wildcat Lake Core 3 Series chip family is built for affordable laptops. My first wave of tests shows ...

Tesla started rolling out FSD v14 'Lite' to HW3 cars, but it's still a supervised Level 2 system — not the unsupervised ...

Open-source Java projects advance Jakarta EE compatibility, persistence capabilities, and developer tooling as enterprise teams prepare for the next generation of Java applications.

The release includes an embedded MCP server that exposes Spring project analytics to AI coding assistants, along with first-class support for Spring AI and automated property refactoring.

Atharv Kolhar, a staff test automation engineer at Figure AI, says the robotics industry needs a testing philosophy that ...

Abstract: With the rise of autonomous systems (AS) and agentic artificial intelligence (AI), a heightened automation of testing processes is required to build, deploy, or repair reliable intelligent ...

TestMu AI (Formerly LambdaTest) is the world's first full-stack AI Agentic Quality Engineering platform that empowers teams to test intelligently, smarter, and ship faster. Built for scale, it offers ...