In today’s fast-paced electronics design automation (EDA) environment, effective data management has become essential.

Aaron Erickson at QCon AI NYC 2025 emphasized treating agentic AI as an engineering challenge, focusing on reliability ...

During his sabbatical, Will McGugan, maker of Rich and Textual( frameworks for making Textual User Interfaces (TUI)), put his ...

AI accelerates aerospace engineering by cutting design cycles and improving performance through data-driven optimization.AI ...

The Hong Kong University of Science and Technology (HKUST), in collaboration with the Southern Marine Science and Engineering ...

Proactive Sensitive Data Leak Detection. Embed privacy across all stages in development, from IDE environments, with ...

Digital engineering and modeling and simulation (M&S) are transformative approaches that enable precision, efficiency and ...

Using Infrastructure-as-Code to manage containers has set an industry pattern for Security as Code (SaC) and Policy as Code ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

AI agents are evolving from tools to autonomous problem-solvers, reshaping engineering roles and skills. This shift demands ...

Artificial intelligence has dramatically expanded the toolkit available for reverse engineering, and in-house counsel might ...