NXP Semiconductors will host “NXP Tech Days,” on August 18, 2026, from 9:00 am to 6:00 pm PDT in Santa Clara, California. The event will feature hands-on workshops, expert-led sessions, and real-world insights across embedded systems, edge AI, connectivity, and security. From the event page: The Future, Engineered During the general session, discover how NXP […]
NXP Tech Days Comes to Silicon Valley Read More +
Prakash Battu, Senior Manager of Design Engineering at Microchip, shares the company’s latest SDI-to-HDMI cross-converter solution. Built on PolarFire® FPGAs, the application supports dynamic rate switching and embedded audio across all SDI standards from 1.5G to 12G, and a standard HDMI IP for seamless interoperability. Because the design that delivers 2× better power efficiency, it
Microchip’s Demonstration of an SDI-to-HDMI® Cross-Converter on PolarFire FPGAs Read More +
This demonstration showcases a real-time vision-language inference pipeline running on an AMD Radeon™ integrated GPU, highlighting multimodal AI capabilities on power-efficient embedded platforms. The system processes live or recorded video streams and enables interactive question answering based on visual scene understanding. A lightweight Vision-Language Model (VLM) is deployed to jointly interpret visual inputs and natural
Real-Time Vision-Language Inference on AMD Radeon™ iGPU Using ROCm™ Read More +
New NVIDIA Blackwell-powered T3000 and T2000 modules, paired with new NVIDIA Jetson software memory optimization and agent skills, help partners and customers move advanced robotics, visual AI and edge workloads onto compact, power-efficient systems. This news blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. General-purpose
NVIDIA Introduces New Jetson Thor Computers to Advance Mainstream Robotics and Edge AI Read More +
This demo showcases the AMD Versal™ AI Edge Series Gen 2 VEK385 evaluation board’s ability to support streaming raw video data from 12 different CMOS image sensors concurrently and process 14 live streams out through the hardened ISP blocks in a single 2VE3858 adaptive SoC. It features a mix of sensors with different resolutions and
AMD Versal™ AI Edge Series Gen 2Hard ISP Featuring 12x Sensor Inputs Read More +
See how agentic AI workflows can use both local AMD hardware and cloud resources to improve privacy, performance, and cost efficiency. This demo showcases AI agents running with the AMD ROCm™ software platform. Private and data-sensitive tasks can remain on the local system, while more demanding workloads can be sent to cloud-based models when needed.
AI Agents on AMD – Secure Agent Computing at the Edge Read More +
On September 2, 2026 at 9 am PT (noon ET), Muneyb Minhazuddin, Customer Growth Officer at Ambarella and Pietro Antonio Cicalese, Senior Technical Marketing Engineer at Ambarella, will present the free hour webinar “See, Think, Act, Learn: Building Trustworthy Physical AI at the Edge,” organized by the Edge AI and Vision Alliance. Here’s the description, from
Free Webinar on Building Trustworthy Physical AI at the Edge Read More +
This blog post was originally published at Arm’s website. It is reprinted here with the permission of Arm. Great hardware matters, but software is what helps unlock its full value. Arm’s DNA is hardware, and our sustained software investments help make that hardware easier to use, optimize, and scale. Since our inception, Arm has invested across the
Breadth, Depth and Value: Arm Empowers Developers for the Agentic AI Era Read More +
Shanghai, China, July 3, 2026–VeriSilicon (688521.SH) today announced its high-performance CPP2000 Camera Post-Processing (CPP) IP, expanding the company’s Image Signal Processing (ISP) solutions with advanced post-processing capabilities. By improving image quality and visual perception in mobile imaging scenarios, CPP2000 enables more reliable vision performance in robotics, drones, and other mobile vision applications. CPP2000 integrates multiple
Latest release leverages sparse neural networks to improve performance and enable more efficient edge AI on PolarFire® FPGAs and SoCs CHANDLER, Ariz., July 14, 2026 — Deploying AI inference in power‑constrained and mission‑critical environments such as aerospace and defense systems requires solutions that balance performance, efficiency, reliability and ease of development. To better manage these challenges,
Microchip Advances Neural Network Implementation with VectorBlox 3.0 Accelerator SDK Read More +
Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
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