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Webinar: Caspia Shows You How to Fix Security Flaws Before It’s Too Late

18 d ago

The article discusses the promise of AI in EDA (Electronic Design Automation), emphasizing that its role is to assist engineers in completing complex design tasks faster, more safely, and with less tool expertise, rather than replacing EDA tools or reinventing design flows. Key aspects of an effective AI-powered EDA tool include security (on-premise operation to protect sensitive data), flexibility (compatibility with both commercial and open-source LLMs), rapid deployment (minutes instead of weeks), and efficient token management to balance quality and cost. Benefits include a step-change in usability, enabling junior engineers to perform complex tasks from day one without extensive command or API knowledge, generating scripts on demand, and improving interoperability with the design environment. It also supports multiple human languages for global teams. Defacto's AI Assistant, a production-ready tool, meets all these requirements. Early adopters report significant acceleration in design tasks, reduced reliance on experts, and greater confidence. Specific tasks simplified include structural checks between RTL and design collaterals, reusing over 90% from previous projects, and building complex subsystems with related RTL, IP-XACT, and design collaterals. A webinar is scheduled to explore these concepts further: Monday, July 13th at 10:00–11:00 AM PDT. Registration is available via the provided link. The webinar will demonstrate how Defacto’s AI Assistant and MCP Server architecture deliver a secure, scalable, and LLM-agnostic foundation to address SoC design challenges, manage aggressive PPAs, and reduce design costs.