Articles Tagged with ''AI''

In this article, power rail voltage measurement uncertainty is examined using several different probe configurations to monitor VCore measurements on a Picotest S2000 load stepper board. The results reveal measurement variations up to 27 mV — a level of uncertainty that can completely mask the performance improvements engineers are seeking from advanced VRM technologies. Read on to learn how engineers can trust their measurements when the uncertainty exceeds the performance gains they are trying to validate.

The collaboration focuses on the joint design, optimization, and validation of a modular 2-5 megawatt SST building block.

This collaboration will embed Ceva’s NeuPro family of NPUs in Microchip’s products, accelerating the deployment of scalable AI across its broad range of Compute, Communication and Security products.

As Ray Kurzweil’s predictions edge closer to reality, AI continues to transform engineering, education, and daily life. Follow along as Signal Integrity Journal Technical Editor Eric Bogatin examines the risks and rewards of technological evolution while reflecting on the role of humans in an AI-driven future.

This article discusses electrical and thermal co-simulation of multi-pin interconnects. Using Ansys Q3D and Icepak (2025R1), it highlights key practices such as parametrization, matrix reduction, and mesh settings to ensure accurate and efficient results with complex geometries.

NVIDIA to invest $1 billion in Nokia to accelerate AI-RAN innovation and lead transition from 5G to 6G.

Qualcomm AI200 and AI250 solutions deliver rack-scale performance and superior memory capacity for fast data center AI inference at industry-leading total cost of ownership.

Yole Group’s new report, Glass Materials for Advanced Packaging 2025, provides the first in-depth analysis dedicated to the fast-growing glass materials market across multiple packaging platforms.

This article introduces a hardware-centric definition of compute cluster bisection bandwidth as a performance metric for AI-scale 448 Gbps systems. Unlike traditional abstractions, this metric is grounded in physical interconnect layout and IO port availability, enabling system architects to evaluate bandwidth provisioning through real, bidirectional link paths.

SCHMID Group HAS announced the successful acquisition of two significant orders in the fast-growing field of PCB for AI server applications.