While machine learning has improved detection, most models fail when confronted with attack scenarios they have never seen before, because they learn data patterns rather than the underlying physics ...

Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to ...

Abstract: In software development systems, the maintenance process of software systems attracted the attention of researchers due to its importance in fixing the defects discovered in the software ...

RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene ...

In a continued development of patent eligibility policy following Ex parte Desjardins, the Patent Trial and Appeal Board ...

AI agents such as OpenClaw are turning developer workstations into always-on edge servers. We test whether the Dell Pro Max ...

Non-canonical amino acids can expand the scope of proteins available for therapeutics and machine learning platforms can accelerate their translation.

For the artificial intelligence (AI) engineering, 95% of the time and effort is consumed by data related workloads. In order to tackle this challenge, tech giants spend thousands of hours on building ...

Abstract: To preserve software quality and maintainability, machine learning-based code smell detection has been proposed, and the results are promising. This research proposes an enhanced version of ...

Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which optimization actually moved the needle.