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In-depth information about the edge AI and vision market, applications, technologies, products, and trends.

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News

News

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

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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Industrial Vision (Computer Vision)

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

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

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

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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Market Analysis

Market Analysis

From Warehouse to Wallet: New State of AI in Retail and CPG Survey Uncovers How AI Is Rewiring Supply Chains and Customer Experiences

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The third annual NVIDIA State of AI in Retail and CPG survey shows why nine in 10 retailers will increase AI budgets in 2026, focusing on open-source models and software, as well as agentic and physical AI. Highlights

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Market Analysis

Which Service Robots Will Dominate the Market in the Next 10 Years?

Logistics robots and cleaning robots both benefit from high market demand and relatively low technical barriers, compared to kitchen and restaurant robots or underwater robots. Source: Service Robots 2026-2036: Technologies, Players and Markets This blog post was originally published at IDTechEx’s website. It is reprinted here with the permission of IDTechEx. The service robotics industry has grown

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Automotive

CES 2026: Physical AI moves from concept to system architecture

This market analysis was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. The world’s largest consumer electronics conference demonstrated the technical synergies between automotive and robotics. At CES 2026, there was a clear cross-sector message: Physical AI is the common language across the automotive, robotaxi

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Blog

Algorithms & Models

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

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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Avassa

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

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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