In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

An international reserch team developed two deep learning-based IDS models to enhance cybersecurity in SCADA systems. The ...

A breakthrough deterministic physics kernel delivers molecular, materials, and reaction screening across three ...

Explore the recent advances in fuzzing, including the challenges and opportunities it presents for high-integrity software ...

AI language models, used to generate human-like text to power chatbots and create content, are also revolutionizing biology by treating complex biological data like a language. Language models are ...

Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...

PUBG has a cheating problem. And if you've played the game for any length of time, you already know this. But what you might ...

While artificial intelligence is advancing at a rapid rate, the learning resources for artificial intelligence are also increasing at an equally rapid rate. Apart from online tutorials and learning ...

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...

The Linux kernel community’s adoption of new fuzzing tools marks another important step toward a more secure and resilient ...

This article is based on findings from a kernel-level GPU trace investigation performed on a real PyTorch issue (#154318) using eBPF uprobes. Trace databases are published in the Ingero open-source ...