Researchers from Stanford University and University of California, Santa Cruz have released “Heterogeneous Memory Design ...

Researchers from Boston University, Northeastern University, KAIST, and University of Murcia, et al. have released “FHECore: Rethinking GPU Microarchitecture for Fully Homomorphic Encryption”.

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

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 ...

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 ...

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

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

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 ...

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 ...

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.

The variety of compositions available gives designers many options to achieve the specific properties they need. Indium tin ...