Researchers show AI can learn a rare programming language by correcting its own errors, improving its coding success from 39% to 96%.

A Google-led research team has demonstrated a surface-code logical qubit operating below the error-correction threshold, ...

Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.

In this article, we'll explore some of the specific techniques and systematic approaches that separate high-performing teams from the rest, and show you how to bridge this growing performance gap.

WCET analysis is essential for proving multicore real-time systems meet safety-critical deadlines under all operating conditions.

Hard Disk Drives (HDDs) continue to power critical storage infrastructure across enterprises, government systems, surveillance networks, and IT environments. While known for their reliability and high ...

Autonomous or agentic artificial intelligence will create challenges for public trust in the technology. That is why building ...

Building on lessons from an internal agent SDK called “Breadboard”, the agent step is not just another node in a workflow — it is an orchestration layer that can recruit models, invoke tools, manage ...

The growing risks of black box AI. Black box AI introduces risks that extend far beyond model accuracy. When organizations ...

Enterprise IT teams are losing the battle against modern application failures. The problem isn’t a lack of monitoring tools. It’s that the tools they rely on were built for an infrastructure era that ...

Every enterprise leader has seen the pattern: a proof-of-concept AI tool that impresses in the demo and then three months later, it's hemorrhaging accuracy, choking on edge cases, and nobody can ...