There is much disagreement on the timing of the transition from copper interconnects to optical interconnects, but almost ...

Autonomous machines promise to transform industries, but memory bottlenecks, power constraints, specialized architectures, ...

Shared resources, a mix of tools running at different speeds, and multiple dies are adding new challenges for design teams.

How data center operators can protect critical data and communications without compromising the performance demanded by distributed AI and HPC workloads.

SE: AI is disruptive to EDA, the semiconductor industry, and to their customers. One early indication is that computer ...

While AI is transforming nearly every industry, one of its most significant impacts is happening behind the scenes, inside ...

Accurate SI analysis must account for interactions across vertical interconnects, interposers, silicon bridges, package transitions, and neighboring high-speed channels.

Chiplets for physical AI; rack-level considerations; verification complexity; sparse matrix workloads; AI data centers.

Imagination Technologies, where he leads engineering efforts focused on AI software for GPU-accelerated edge inference. His work centers on enabling efficient, high-performance AI workloads on ...

The first step in right-sizing an AI model for an embedded application is determining its purpose, including the target ...