As embedded applications grow in complexity and regulatory requirements evolve, SEGGER has continued to extend its offerings to address new technical and workflow challenges. Rece ...

Operational autonomy is quickly becoming one of the defining capabilities of a modern enterprise. As digital estates become ...

The offices of Google are pictured in London on February 28, 2026. JUSTIN TALLIS/AFP via Getty Images Google released agents-cli on April 21, 2026, and it has shipped 13 updates in the 71 days since — ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Floating-point computations dominate the landscape of all AI/ML compute but also in automotive, avionics and healthcare. While performance and compute errors dominated the landscape of floating-point ...

Modern software applications contain valuable business logic, proprietary algorithms, and sensitive intellectual property ...

The newly reinstated Anthropic model topped charts for automating work. Here's what that means for the future.

LLVM powers the core development tools, operating systems, and most applications at Apple Computer, where it long ago ...

Claude Code dynamic workflows are now generally available on all paid plans, including Pro for the first time. The feature writes its own orchestration scripts and coordinates up to 1,000 parallel ...

A learning algorithm is a mathematical framework or procedure that calculates the best output given a particular set of data. It does this by updating the calculation based on the difference between ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...