Static application security testing, or SAST, is most useful when it is close to the way your team actually writes code. That is where Semgrep becomes valuable. It can scan source code quickly, fit ...

Fabiane Nardon shares how TOTVS prepares enterprise data for token-hungry AI agents. She discusses balancing deterministic ...

Anthropic Model Hardware Standard (MHS) cuts AI-to-lab-instrument integration from weeks to hours. Claude drove QuEra’s ...

Agentic workflows enable AI to write code, debug, and test embedded systems when equipped with proper tools and safeguards.

Microsoft Threat Intelligence provides analysis of a ClickFix campaign that uses fake CAPTCHA prompts, DLL sideloading, and a reverse tunnel, with detections and hunting guidance.

The analysis of spot-like structures is a widespread task in microscopy image analysis. Existing solutions are typically ...

The manuscript presents a compelling application of the microfluidic mother machine as a "selection" machine. While individual elements of the work have existed for many years across various research ...

Esri's ArcGIS platform helps Irish Rail shift from reactive vegetation checks to network-wide risk monitoring.

By using a sustainable testing strategy, you can skip unnecessary tests, ensure failing fast and early, and only run tests ...

Before deploying agentic AI into a chip design, engineers must define the domain ontology and agentic harness. Fundamental engines are still crucial.

AI is supposed to be the answer to this. But for many teams, the AI conversation stalls before it starts, because it gets ...

Security teams can review LabVIEW applications alongside C++, Python, Java, and web applications using a common set of ...