TECHNOLOGIES

BrainChip Enables the Next Generation of Always-On Wearables with the AkidaTag Reference Platform

BrainChip, Consumer, Industrial Vision (Computer Vision), Medical, News, Processors /

LAGUNA HILLS, Calif. — March 10, 2026 — BrainChip Holdings Ltd. (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low-power, fully digital, event-based neuromorphic AI, today announced at Embedded World in Nuremberg, Germany the launch of AkidaTag©, a reference platform for smart sensing in a battery-powered tag powered by Nordic Semiconductor. Intelligent wearable and remote industrial sensors […]

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ERGO: Efficient High-Resolution Visual Understanding for Vision-Language Models

Algorithms & Models, Blog Posts, Nota AI /

This blog post was originally published at Nota AI’s website. It is reprinted here with the permission of Nota AI. Key Takeaways: Efficient coarse-to-fine pipeline: A two-stage reasoning pipeline that first processes low-resolution inputs to identify task-relevant regions and then re-encodes them at higher resolution, reducing computational cost while preserving essential information. Reward for reasoning-driven perception:

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Edge Container Registries Explained: How to Distribute Images Reliably at Scale

Avassa, Blog Posts, Software, Tools /

This blog post was originally published at Avassa’s website. It is reprinted here with the permission of Avassa. A mostly hidden piece of the container application puzzle is the image registry. If you’ve used Linux containers, you’ve come across one: it’s where container images are stored. Registries can be public (like Docker Hub) or private,

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TI expands Microcontroller Portfolio and Software Ecosystem to Enable Edge AI in Every Device

News, Processors, Texas Instruments /

New MCUs with the TinyEngine NPU join TI’s comprehensive portfolio of AI-enabled hardware, software and tools, allowing engineers to deploy intelligence anywhere   Key Takeaways: TI’s integrated TinyEngine NPU can run AI models with up to 90 times lower latency and more than 120 times lower energy utilization per inference than similar MCUs without an accelerator.

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Arduino Announces Arduino VENTUNO Q, Powered by Qualcomm Dragonwing IQ8 Series

Industrial Vision (Computer Vision), News, Processors, Qualcomm, Robotics /

The new platform by the leading open-source hardware provider is purpose-built for generative AI, robotics, and actuation — making advanced capabilities accessible to all.   Ahead of Embedded World, Arduino announced the upcoming launch of its newest platform to democratize edge AI, Arduino® VENTUNO™ Q. Named after the Italian word for twenty-one​, VENTUNO Q builds on the iconic

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Intel Launches Core Series 2 Processor with Real-Time Performance and Expands Edge AI Portfolio

Intel, News, Processors /

New industrial-ready platform delivers breakthrough deterministic performance; sixth Edge AI suite targets healthcare applications   NUREMBERG, Germany — March 9, 2026 — At Embedded World 2026, Intel launched the Intel® Core™ processor Series 2 with P-cores, an industrial-ready platform engineered for mission-critical edge applications. Intel also announced its latest Edge AI suite for Health & Life Sciences, providing validated reference pipelines and benchmarking tools

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Synaptics Introduces SYN765x, an Industry-Leading AI-Native Wi-Fi® 7 Solution for Integrated IoT Edge Applications

Consumer, Industrial Vision (Computer Vision), News, Processors, Synaptics /

AN JOSE, Calif., Mar 10, 2026 — Synaptics Incorporated (Nasdaq: SYNA), today announced the SYN765x, an AI-native wireless solution that redefines Edge intelligence. As an industry-leading single-chip device combining AI-optimized compute with integrated Wi-Fi® 7, the SYN765x is designed to bring scalable, real-time intelligence directly to smart appliances, home automation systems, and Industrial IoT (IIoT) applications. SYN765x

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RTOS vs. Bare-Metal: Decision Matrix Tool for Projects Based on High-End Microcontrollers

Blog Posts, eInfochips, Processors, Software /

This blog post was originally published at eInfochips’ website. It is reprinted here with the permission of eInfochips. Introduction When building a system with a powerful microcontroller (MCU) or microprocessor, such as an ARM Cortex-M4, M7, R5, RXv3, A15, or A53—one of the key decisions developers face is whether to use bare-metal programming or a

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NXP’s New i.MX 93W Fuses Edge Compute and Secure Wireless Connectivity to Accelerate Physical AI

News, NXP Semiconductors, Processors /

Key Takeaways: First applications processor to combine an AI NPU with secure, tri-radio connectivity, replacing up to 60 discrete components with a single package Accelerates coordinated AI agent deployment with integrated edge compute and secure connectivity, supported by NXP software and eIQ® AI enablement Pre-certified designs simplify wireless certification, eliminating RF complexity and speeding time-to-market

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Conversations at the Edge with NXP

Au-Zone Technologies, NXP Semiconductors, Processors, Robotics, Sensors and Cameras, Software, Tools, Videos /

This blog post was originally published at Au-Zone’s website. It is reprinted here with the permission of Au-Zone. Are Single-Sensor Robots Obsolete? We think so, and we’re here to show you why. Au-Zone is proud to be featured in NXP Semiconductors’ Conversations at the Edge video series, a multi-part collaboration exploring innovation at the intersection of

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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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Berkeley Design Technology, Inc.
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Walnut Creek, CA 94596

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