Processors

Secure Edge AI, High-Speed Vision and Power-Efficient Design With VectorBlox™

Microchip’s FPGA Engineer, Apurva Peri, shares the VectorBlox™ Accelerator SDK solution, which offers AI/ML Inference for PolarFire® FPGAs and SoCs. This software-based implementation enables AI deployment without reprogramming the FPGA, supports sparse networks using structured and unstructured compression and provides power-efficient inference and video pipelines delivering less than 5W power consumption. This Broad AI model […]

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Microchip Demonstrates Secure Edge AI Facial Recognition with Single-Camera Liveness Detection

Swapna Gurumani from Microchip’s Edge AI business unit demonstrates the company’s facial recognition with liveness detection solution at the 2026 Embedded Vision Summit. The demo shows how Microchip’s Edge AI technology enables secure, real-time identity verification using a single RGB camera and on-device processing. The solution combines facial recognition with liveness detection to help identify

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From Silicon to Ecosystems: The New Edge AI Competitive Model

This blog post was originally published at Macnica America’s website. It is reprinted here with the permission of Macnica America. For years, silicon providers have benefited from a well-established stakeholder ecosystem of traditional sales, direct markets and customer solutions that have been pioneering the physical AI deployment. Today, that success requires a lot more work. Silicon

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NXP Tech Days Comes to Silicon Valley

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

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Microchip’s Demonstration of an SDI-to-HDMI® Cross-Converter on PolarFire FPGAs

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

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Real-Time Vision-Language Inference on AMD Radeon™ iGPU Using ROCm™

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

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NVIDIA Introduces New Jetson Thor Computers to Advance Mainstream Robotics and Edge AI

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

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AMD Versal™ AI Edge Series Gen 2​Hard ISP Featuring 12x Sensor Inputs

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

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AI Agents on AMD – Secure Agent Computing at the Edge

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.

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Free Webinar on Building Trustworthy Physical AI at the Edge

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

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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.

Contact

Address

Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

Phone
Phone: +1 (925) 954-1411
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