Chiplet-Based NPUs to Accelerate Vehicular AI Perception Workloads


A new technical paper titled "Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception" was published by researchers at UC Irvine. Abstract "We study the application of emerging chiplet-based Neural Processing Units to accelerate vehicular AI perception workloads in constrained automotive settings. The motivation stems from how chiplets technology i... » read more

Chip Industry Week In Review


Analog Devices acquired Flex Logix's technology assets, along with its technical team. Semiconductor global sales increased 23% in Q3 2024 $166B, up almost 11% versus the same period in 2023, according to SIA. Notable regional year-to-year sales in September: Americas up 46%, China up 23%, Europe down 8%. Fig.1: Worldwide Semiconductor Revenues, year-to-year % change. Source: Semiconduc... » read more

Software-Defined Vehicles for Dummies


This latest Dummies Guide takes you through the captivating world of software-defined vehicles (SDVs), offering important insights into the technologies and systems that propel SDVs, and their impact on the future of transportation. This book covers the foundational understanding of SDVs and progressively delves into their various aspects, exploring the potential implications of this rapidly ev... » read more

Combining Silicon Data Capture And Edge Processing Offers A Promising Solution For Automotive OEMs


By Lorin Kennedy and Jasmin Mulaosmanovic In the world of electric (EV) and software-defined vehicles (SDV), a key challenge and opportunity besets original equipment manufacturers (OEM): that of effectively harnessing in-vehicle and silicon data to improve user experience and quite literally drive business benefits. While collecting telemetry data is straightforward enough, the difficulty l... » read more

From Data To Safety On-The-Road Hardware Health Monitoring


The automotive industry is currently experiencing a transformation driven by electrification, connectivity, and autonomous driving. Vehicles require extensive computational capabilities and generate massive amounts of data. Future cars will embrace new architectures, becoming software-defined "computers on wheels" capable of hosting advanced applications, machine learning algorithms, and contin... » read more

For SDVs, Software Is The Biggest Challenge


Software-defined vehicles (SDVs) involve far more than just OTA applications enabling software upgrades over the air. Software that will manage hundreds of ECUs and other functions within the vehicle is expected to grow beyond hundreds of millions of lines of code, possibly making SDV software development the number one challenge in automotive design. The benefits of SDVs, such as easy updat... » read more