VentureBeat surveyed 132 enterprise AI leaders: the production failure point isn't the model — it's the runtime layer most ...

Lumo leverages advanced machine learning to reduce calibration time, and flag low-confidence response factor predictions.

On May 11, the same day Google's Threat Intelligence Group disclosed the first confirmed case of attackers using AI to build a zero-day exploit, OpenAI launched Daybreak, a new agentic cybersecurity ...

Julia reactive notebook Pluto.jl reached version 1.0 on May 27, ending six years of development with a stable API commitment.

Meta’s Rust-powered linter and type checker for Python pairs blazing speed with advanced and innovative features.

Hackers compromised 19 packages on the PyPI, collectively downloaded hundreds of thousands of times, in a new Shai-Hulud ...

Scores show outcomes, but they don’t reveal how a data system is built, tested and operated, or whether the data meets the ...

Computational chemists at the University of Amsterdam's Van 't Hoff Institute for Molecular Sciences have developed a ...

Aaron Erickson discusses the evolution of AI workflows, shifting from "vibe checking" to building reliable, multi-agent ...

GitHub confirmed attackers stole 3,800 internal repositories via a poisoned VS Code extension. The same threat group, TeamPCP, simultaneously compromised Microsoft's durabletask Python ...

Abstract: Importance sampling methods are extensively used in time-independent reliability analysis. However, the kind of methods is barely studied in the field of time-variant reliability analysis.

Abstract: SUMMARY & CONCLUSIONSMonte Carlo simulation-based structural reliability analysis (SRA) usually requires numerous calls of computationally expensive simulations, limiting its practical ...