Riverlane has developed a data-driven method to improve quantum error correction in surface-code architectures. By ...

Perimeter Institute explains how quantum error correction tackles the challenges of building a quantum computer.

In the previous article, I wrote about an experiment where I had an AI create its own rules and then used those rules to find ...

AI code review uses AI to review pull requests for bugs, quality, and security. Learn how it works, how it differs from SAST ...

Every physical qubit makes mistakes. Stray electromagnetic fields, imperfect control pulses, heat and, in some platforms, the ...

LLM Vulnerability Detection can improve code review, but 2026 evidence shows stack flaws, repair gaps, and validation limits ...

Collaboration between different stakeholders is a key part of project-based industries like construction. A variety of ...

Cybersecurity organizations increasingly rely on artificial intelligence (AI) to spot vulnerabilities and conduct threat analyses, and the role of AI in identifying risks and patching affected code ...

A new Mamba model reduces qubit error rates by 26% in superconducting quantum processors, addressing a critical bottleneck for fault-tolerant quantum computing.

ML flagging of error bursts and failing hosts across synthetic log streams - rudhrestam/server-log-anomaly-detection ...

Autonomous AI coding environments have evolved from simple code autocompletion to "AI agents that analyze the entire project ...

A lightweight unsupervised video anomaly detection system trained only on normal footage. Frames the model fails to reconstruct well are flagged as anomalous. Per-pixel reconstruction error maps ...