The Best DRAMs For Artificial Intelligence


Artificial intelligence (AI) involves intense computing and tons of data. The computing may be performed by CPUs, GPUs, or dedicated accelerators, and while the data travels through DRAM on its way to the processor, the best DRAM type for this purpose depends on the type of system that is performing the training or inference. The memory challenge facing engineering teams today is how to keep... » read more

The Challenges Of Testing Automotive Chips


For as long as semiconductor devices have been around, motor vehicles have been one of the toughest operating environments. Chips in automobiles, trucks, and buses are subject to extremes of temperature, humidity, vibration, and radiation. The challenges of designing for these environmental conditions have grown more pronounced with advanced technology nodes, which are necessary to satisfy mark... » read more

Challenges In Using Sub-7nm ICs In Automotive


The automotive industry is producing vehicles with increasing levels of real-time decision-making, enabled by thousands of ICs, sensors, and multi-chip packages, but making sure these systems work flawlessly throughout their expected lifetimes is a growing challenge. Automotive chips traditionally were developed at mature process nodes in five- to seven-year cycles, but much has changed over... » read more

Chip Industry Week in Review


Qualcomm announced plans to buy Alphawave Semi for ~$2.4 billion in a deal expected to close in Q1 2026. Qualcomm plans to leverage Alphawave Semi's connectivity products, including chiplets, to develop high-performance, low-power solutions for AI inferencing and customized CPUs in data centers. Qualcomm's traditional targets were mobile phones and edge computing. [Updated 6/9.] Global semic... » read more

Securing The Road Ahead: MACsec Compliant For Automotive Use


Since the rise of connected and autonomous vehicles, the automotive industry has undergone a significant transformation. Modern vehicles are now equipped with advanced systems that communicate with each other and external infrastructures, enhancing the driving experience. However, this increased connectivity also brings heightened security risks. Unauthorized access to a vehicle’s systems can... » read more

How Secure Are Analog Circuits?


The move toward multi-die assemblies and the increasing value of sensor data at the edge are beginning to focus attention and raise questions about security in analog circuits. In most SoC designs today, security is almost entirely a digital concern. Security requirements in digital circuits are well understood, particularly in large data centers and at the upper end of edge computing, which... » read more

Mobile Chip Challenges In The AI Era


Leading smart phone vendors are struggling to keep pace with the rising compute and power demands of localized generative AI, standard phone functions, and the need to move more data back and forth between handsets and the cloud. In addition to edge functions, such as facial recognition and other on-device apps, phones must accommodate a continuous stream of new communications protocols, and... » read more

AR/VR Glasses Taking Shape With New Chips


More augmented reality (AR), virtual reality (VR), and mixed reality (MR) wearables are coming, but how they are connected, and where image and other data is processed, are still in flux. Ray-Ban Meta AI glasses, for example, look like classic eyeglasses, but they rely on a tethered smart phone for such functions as taking pictures, AI voice assistance, and object identification. In contrast... » read more

The Hidden Cost Of Automotive Software Integration – A Shortcut That Changes Everything


Automotive software is developed in silos but must function as one integrated system. This organizational reality isn’t going away, and yet its consequences remain painful: late feedback, expensive debugging, and fragile, hardware-bound integration. This white paper introduces a pragmatic, scalable solution: horizontal integration with virtual electronic control units (vECUs), test automat... » read more

Blog Review: June 4


In a podcast, Siemens’ Conor Peick, Dale Tutt, and Mike Ellow chat about the implications of the software-defined transition, how it affects semiconductor development, and why it seems to be leading more companies towards developing their own silicon. Cadence’s Vinod Khera shows off a Linux-based audio development platform for prototyping AI audio applications with support for real-time ... » read more

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