A scalable LPDDR-based memory platform optimized for edge AI inferencing.

Increasingly complex chip designs require more test data than those developed at older nodes and on single planar dies. The ...

As AI systems scale, advanced power delivery innovations are becoming critical to performance, efficiency and reliability.

How advanced NoC architectures and coherent subsystem IP can address the industry's next-gen scalability, safety, and ...

Warpage is becoming a bigger constraint as package, interposer, and panel sizes grow. Negative thermal expansion (NTE) ...

Most conversations about AI start and end with compute. But every training run and every inference query is ultimately a data problem, and data must live somewhere. Memory, and increasingly, the ...

The only solution is an electronic design automation (EDA) toolset that can accurately predict chip behavior before any wafers are run, and even before the fab is ready. This enables the very first ...

First-silicon success falls; engineering capacity; minimum clock period; optimizing PyTorch; counterfeit electronics.

Package twins must track what manufacturing actually builds, not just design intent. Missing process and supplier data can ...

Intel may be the marquee name, but materials suppliers, packaging hubs, and quantum startups will determine whether the region becomes a true semiconductor ecosystem.

As computing systems evolve to meet the demands of AI, data centers, and high-performance workloads, the challenge is no ...

As multimodal AI moves from the cloud to personal devices, developers face a fundamental constraint. Capable vision-language ...