End-to-End Hardware-Driven Graph Preprocessing for Enhanced GNN Performance” was published by researchers at KAIST, Panmnesia ...

EDA produces a lot of data, but how useful is that for AI to consume? The industry looks at new ways to help AI do a better job.

Designing and deploying DSPs FPGAs aren’t the only programmable hardware option, or the only option challenged by AI. While AI makes it easier to design DSPs, there are rising complexities due to the ...

Kalinagaswamy: Both have their own challenges. Scale-up may have hundreds of GPUs or accelerators, and they have to work in a scale-up network. Scale-out is point-to-point. They cannot make that many ...

Panelists repeatedly highlighted that AI compute scaling is dramatically outpacing traditional Moore’s Law transistor ...

The industry’s response is to split compute, memory, and I/O across dies, XPU chiplets are pushing toward the reticle limit, and stitch it all together with high‑bandwidth, energy‑efficient die‑to‑die ...

Cadence’s Mick Posner introduces the Foundational Chiplet System Architecture, a specification that aims to deliver a vendor ...

As packaging complexity rises, the industry faces gaps in data, inspection, and process integration.

This eBook details 40 essential PCB design tips, organized by 5 sections: Project Planning, Requirements, and Documentation Placement, Floorplanning, and Mechanical Integration Power, Grounding and ...

A new technical paper, “Extreme optical nonlinearities unveiled by ultrafast laser filamentation in semiconductors,” was ...

Nvidia’s data center revenues have skyrocketed, and hyperscaler capital expenditures soared past $70B in 2025, about double ...

Researchers from Rice University developed a bottom-up microwave plasma chemical vapor deposition method for growing patterned diamond surfaces that could help decrease operating temperatures in ...