Learn how industry leaders are improving AI energy efficiency through full-stack co-design, advanced packaging, and AI-driven chip design.

The post Energy-Efficient AI: How the Silicon Industry Is Engineering More Intelligence Out of Every Watt appeared first on Chip Design.

India’s semiconductor ecosystem is evolving through innovation, investment, and collaboration, positioning the country for greater global influence.

The post India’s Semiconductor Ecosystem is Moving from Participation to Influence appeared first on Chip Design.

Learn how HPE boosts HPC chip development with Synopsys tools, elastic compute resources, streamlined verification, and AI-driven workflows.

The post HPE: Accelerating High-Performance Computing Through Smarter Tools and Collaboration appeared first on Chip Design.

Discover how a lunar RF digital twin helps model wireless coverage, validate antennas, and reduce communications risks for Artemis missions.

The post Creating a Digital Twin of the Moon appeared first on Chip Design.

Learn how multi-die architectures are driving multiphysics analysis, co-design workflows, AI-driven exploration, and next-generation chip innovation.

The post Multi-Die, Multiphysics, and the New Rules of Chip Design appeared first on Chip Design.

As chip density and advanced packaging increase, physics has become a first-order chip design constraint, shaping performance, yield, and reliability.

The post Silicon Meets Reality: Why Physics Is Now a First-Order Design Constraint for Chips appeared first on Chip Design.

AI is redefining compute architecture through parallelism and system-level design — driving smarter, more efficient, co-optimized systems.

The post Rethinking Compute in the Age of AI appeared first on Chip Design.

Learn how to secure physical AI systems across data, hardware, and runtime to ensure safe, reliable operation in real-world environments.

The post Securing Physical AI appeared first on Chip Design.

Physical AI connects silicon, software, and robotics to transform industries with simulation, digital twins, and intelligent real-world systems.

The post Physical AI: Bridging Silicon, Software, and the Real World appeared first on Chip Design.

Engineering intelligent systems means managing physics, scale, and time horizons. Learn how AI and digital twins address multiphysics complexity.

The post When Everything Interacts: Engineering Intelligent Systems in a Multiphysics World appeared first on Chip Design.

Learn how multiphysics challenges in advanced chip design impact performance, power, and efficiency — and why early analysis is critical.

The post From Overdesign to Co-Design: Confronting Multiphysics Challenges in Chips appeared first on Chip Design.

See how NVIDIA scales advanced-node physical verification with Synopsys IC Validator, achieving faster DRC/LVS signoff and improved runtime.

The post Taming Advanced Node Physical Verification – NVIDIA’s Perspective appeared first on Chip Design.

Learn how Synopsys and Intel Foundry use process design kits to reduce design risk, simplify adoption, and speed advanced-node chip development.

The post Process Design Kits: How Synopsys and Intel Foundry Are Accelerating Customer Success appeared first on Chip Design.

FlexEDA Pay-Per-Use licensing and HPE GreenLake Flex Solutions accelerate regressions, improve design quality, and reduce time-to-market. Learn how.

The post Enabling 3X Verification Performance on HPE GreenLake Flex Solutions with Synopsys FlexEDA appeared first on Chip Design.

Explore how neuromorphic computing enables physical AI with low-power, real-time intelligence at the edge, bridging digital models and the physical world.

The post From Tokens to Physics: How Neuromorphic Computing Will Power Physical AI appeared first on Chip Design.