Somewhat eclipsed by last week’s announcement that the AMD Spartan™ UltraScale+™ FPGA SCU35 Evaluation Kit is now available, AMD and Infineon have disclosed successful validation of Infineon’s 64-Mb HYPERRAM™ memory and HYPERRAM controller IP on the platform. This collaboration expands the kit’s value for engineers building edge AI and computer vision systems. The SCU35 kit, […]
Architected to power AI workloads, Micron’s latest automotive solution, built with G9 NAND, equips the industry to create safer, smarter more connected driver experiences MUNICH, Nov. 13, 2025 (GLOBE NEWSWIRE) — Automotive Computing Conference — Micron Technology, Inc. (Nasdaq: MU), today announced shipping of qualification samples of its automotive universal flash storage (UFS) 4.1 solution to
This blog post was originally published at Tessolve’s website. It is reprinted here with the permission of Tessolve. The world is increasingly becoming connected, intelligent, and autonomous. At the core of this transformation is Artificial Intelligence (AI), which is swiftly transitioning from the cloud to the edge, nearer to where data is generated and actions are
Trends in Embedded AI: Designing Hardware for Machine Learning on the Edge Read More +
This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. In its new report, Automotive Computing and AI 2025, Yole Group analyzes the technological and market forces redefining vehicle intelligence, safety, and connectivity. The automotive industry is accelerating into a new era
AI Drives the Wheel: How Computing Power is Reshaping the Automotive Industry Read More +
Frank Moesle, Software Department Manager at Valeo, talks with Independent Journalist Junko Yoshida for the “Three Big Topics in Autonomous Driving and ADAS” interview at the May 2025 Embedded Vision Summit. In this on-stage interview, Moesle and Yoshida focus on trends and challenges in automotive technology, autonomous driving and ADAS.… “Three Big Topics in Autonomous
“Three Big Topics in Autonomous Driving and ADAS,” an Interview with Valeo Read More +
Frank Moesle, Software Department Manager at Valeo, presents the “Toward Hardware-agnostic ADAS Implementations for Software-defined Vehicles” tutorial at the May 2025 Embedded Vision Summit. ADAS (advanced-driver assistance systems) software has historically been tightly bound to the underlying system-on-chip (SoC). This software, especially for visual perception, has been extensively optimized for… “Toward Hardware-agnostic ADAS Implementations for
A Tale of Two Cultures It is the best of times and the worst of times. The quest for fully autonomous vehicles (AVs) is increasingly a problem of hardware—but at a systems level, it’s a multi-faceted engineering challenge. The AD (Automated Driving) Europe 2025 conference in Berlin tackled this issue head-on this week. Far from
The Chiplet Calculus: Navigating the Integration Crisis at the Hardware.AD Frontier Read More +
On October 22, 2022 at 9:00 am PT, Alliance Member company NXP Semiconductors, along with Avnet, will deliver a free (advance registration required) half-day in-person robotics seminar at NXP’s office in San Jose, California. From the event page: Join us for a free in-depth seminar exploring the latest innovations in mobile robotics with a focus
Upcoming Seminar Explores the Latest Innovations in Mobile Robotics Read More +
Xiong Chang, CEO and Co-founder of Tensorfield Agriculture, presents the “Lessons Learned Building and Deploying a Weed-Killing Robot” tutorial at the May 2025 Embedded Vision Summit. Agriculture today faces chronic labor shortages and growing challenges around herbicide resistance, as well as consumer backlash to chemical inputs. Smarter, more sustainable approaches… “Lessons Learned Building and Deploying
This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. Yole Group Launches its First AI White Paper. KEY TAKEAWAYS Compute at the limit: Training and inference workloads now demand gigawatts of electricity, raising urgent questions on sustainability, cost, and infrastructure capacity.
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