There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.

While Anthropic’s Claude Code grabbed headlines, IBM has been deploying its own generative AI solution, Watsonx Code Assistant for Z, designed to modernize the very mainframes it built. Unlike general ...

A technology has been developed that uses robots rather than humans to evaluate the performance of newly developed catalysts. By operating 45 times faster than manual work while also improving ...

As drug development becomes more complex, so do the demands for accurate, reproducible bioanalytical data to prove their safety and efficacy. Method validation ensures the reliability of ...

The Microsoft Defender team has discovered a coordinated campaign targeting software developers through malicious repositories posing as legitimate Next.js projects and technical assessment materials, ...

OpenAI wants to retire the leading AI coding benchmark—and the reasons reveal a deeper problem with how the whole industry measures itself.

Just like algae blooms in the ocean and pollen in the spring, there’s been an explosion in the past year or two of new software, related tools and lingo from the IT and mainstream/consumer side. Some ...

By way of definition, AWS Strands is a model-driven framework (i.e. one that uses high-level designs to automatically generate code, which is often used for streamlining complex software development ...

Explore the future of embedded systems development with Claude Code. Learn how AI tools could deliver high-quality code faster.

Don’t start with moon shots. by Thomas H. Davenport and Rajeev Ronanki In 2013, the MD Anderson Cancer Center launched a “moon shot” project: diagnose and recommend treatment plans for certain forms ...