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Namuga Vision Connectivity

NAMUGA Successfully Concludes CES Participation, official Launch of Next-Generation 3D LiDAR Sensor ‘Stella-2’

Las Vegas, NV, Jan 15 — NAMUGA announced that it successfully concluded the unveiling of its new product, Stella-2, at CES 2026, the world’s largest IT and consumer electronics exhibition, held in Las Vegas, USA, from January 6 to 9. The newly unveiled product, Stella-2, is a solid-state LiDAR jointly developed by NAMUGA and Lumotive. In

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Microchip Technology

Microchip Expands PolarFire FPGA Smart Embedded Video Ecosystem with New SDI IP Cores and Quad CoaXPress Bridge Kit

Solution stacks deliver broadcast-quality video, SLVS-EC to CoaXPress bridging and ultra-low power operation for next-generation medical, industrial and robotic vision applications   CHANDLER, Ariz., January 19, 2025 —Microchip Technology (Nasdaq: MCHP) has expanded its PolarFire® FPGA smart embedded video ecosystem to support developers who need reliable, low-power, high-bandwidth video connectivity. The embedded vision solution stacks combine hardware evaluation kits, development

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News

Quadric, Inference Engine for On-Device AI Chips, Raises $30M Series C as Design Wins Accelerate Across Edge

Tripling product revenues, comprehensive developer tools, and scalable inference IP for vision and LLM workloads, position Quadric as the platform for on-device AI. BURLINGAME, Calif., Jan. 14, 2026 (PRNewswire) — Quadric®, the inference engine that powers on-device AI chips, today announced an oversubscribed $30 million Series C funding round, bringing total capital raised to $72

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Market Analysis

Market Analysis

AI at the Edge: Low Power, High Stakes

This blog post was originally published at Woodside Capital’s website. It is reprinted here with the permission of Woodside Capital. Palo Alto – November 3, 2025 – Woodside Capital Partners (WCP) is pleased to release our Digital Advertising Quarterly Sector Update for Q3 2025, authored by senior bankers Alain Bismuth and George Jones. Introduction: Intelligence on the Edge Edge

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Market Analysis

PiezoMEMS: A Market Poised to Outpace MEMS Growth by 2030

This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. Yole Group unveils two new reports, PiezoMEMS Technologies 2025 and PiezoMEMS Comparison 2025, providing market ranking, technology insights and cost analyses. Key Takeaways The piezoMEMS market will reach nearly US$5.7 billion by 2030,

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Market Analysis

Greater China MEMS Industry On the Rise: Consumer Leads the Way

This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. In its latest analysis, Yole Group examines how the Greater Chinese MEMS ecosystem is expanding across the consumer, automotive, industrial, medical, defense, and telecom markets, with continued growth driven by strong local

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Blog

Analog Devices

Faster Sensor Simulation for Robotics Training with Machine Learning Surrogates

This article was originally published at Analog Devices’ website. It is reprinted here with the permission of Analog Devices. Training robots in the physical world is slow, expensive, and difficult to scale. Roboticists developing AI policies depend on high quality data—especially for complex tasks like picking up flexible objects or navigating cluttered environments. These tasks rely

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Avassa

How Edge Computing In Retail Is Transforming the Shopping Experience

Forward-looking retailers are increasingly relying on an in-store combination of data collection through IoT devices with various types of sensors, AI for decisions and transactions on live data, and digital signage to communicate results and allow for interaction with customers and store associates. The applications built on this data- and AI-centric foundation range from more

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Blog Posts

Meet MIPS S8200: Real-Time, On-Device AI for the Physical World

This blog post was originally published at MIPS’s website. It is reprinted here with the permission of MIPS. Physical AI is the ability for machines to sense their environment, think locally, act safely, and communicate quickly without waiting on the cloud. In safety-critical scenarios like driver assistance or industrial robotics, milliseconds matter. That’s why MIPS’

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