Processors

BrainChip Partners with Celus to Bring Its Neuromorphic Edge AI Processor to the CELUS Design Platform

Strategic collaboration will soon give engineers direct access to BrainChip’s AKD1500 architecture through CELUS’s AI-guided design tools for device design LAGUNA HILLS, Calif. and MUNICH — July 23, 2026 — BrainChip Holdings Ltd. (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of neuromorphic artificial intelligence technology, and CELUS, the industry leader in cloud-based electronics design […]

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Product Engineering Trends 2026

The next era of product engineering will be defined by 10 shifts reshaping industry leadership   This article was originally published at HCLTech’s website. It is reprinted here with the permission of HCL Tech. At HCLTech, we believe product engineering has entered a more consequential era; an environment where AI, compute, energy, resilience, regulation and sovereignty

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How To Start Building Edge-Native AI

This blog post was originally published at Expedera’s website. It is reprinted here with the permission of Expedera. Cloud AI enables features like voice assistants and recommendations via centralized data centers, but it relies on consistent network connectivity, which often fails in real-world conditions. Edge-native AI shifts inference to devices such as phones, cars, and sensors,

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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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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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Walnut Creek, CA 94596

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