End-to-End Hardware-Driven Graph Preprocessing for Enhanced GNN Performance” was published by researchers at KAIST, Panmnesia ...
Kalinagaswamy: Both have their own challenges. Scale-up may have hundreds of GPUs or accelerators, and they have to work in a ...
Panelists repeatedly highlighted that AI compute scaling is dramatically outpacing traditional Moore’s Law transistor ...
A new technical paper titled “Sputtering-driven formation of interstitial oxygen for intrinsic NIR detection in IGZO ...
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 ...
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.
Cadence’s Mick Posner introduces the Foundational Chiplet System Architecture, a specification that aims to deliver a vendor ...
Nvidia’s data center revenues have skyrocketed, and hyperscaler capital expenditures soared past $70B in 2025, about double ...
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 ...
As packaging complexity rises, the industry faces gaps in data, inspection, and process integration.
A new technical paper, “Extreme optical nonlinearities unveiled by ultrafast laser filamentation in semiconductors,” was ...
Because permeation and plasma-induced degradation are continuous rather than episodic, their effects accumulate gradually.
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