Webinar: IP Design Considerations for Real-Time Edge AI Systems

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*Work Email Required* Edge AI systems increasingly require on-chip integration of large-capacity memory, compute engines, and inference-optimized accelerators—all within strict power, latency, and footprint constraints. This webinar provides a an overview of IP architecture and integration methodologies that support real-time AI workloads at the edge. We’ll cover: • Memory and compute efficiency: Techniques for optimizing …

Webinar: Accelerating RTL-to-GDS digital implementation with generative and agentic AI: powered by Aprisa AI & the Siemens EDA AI System

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As digital chip design complexity grows, engineering teams face increasing pressure to meet aggressive PPA targets on tight schedules. To overcome this challenge, the EDA industry requires a revolutionary shift …