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Algorithms & Models

Google releases FunctionGemma: lightweight function-calling model aimed at on-device agents

Google has released FunctionGemma, a specialized Gemma 3 270M model fine-tuned for  function calling—turning natural-language commands into structured API/tool calls for local agents. Why this matters for edge AI engineers Local-first “action agents”: FunctionGemma is positioned as an on-device “action” model (or a lightweight controller that can route complex requests to larger models like Gemma

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Lattice Semiconductor

Lattice Enhances sensAI Solution Stack with Edge AI Performance, Efficiency, and Ease of Use

Latest Lattice sensAI™ solution stack delivers industry-leading power efficiency, expanded AI model support, and flexible deployment tools for next-generation edge applications HILLSBORO, Ore. – Dec. 18, 2025 – Lattice Semiconductor (NASDAQ: LSCC), the low power programmable leader, today announced the latest release of the Lattice sensAI™ solution stack delivering expanded model support, enhanced AI performance, and greater deployment

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Image Quality Labs

poLight ASA Collaborates with Image Quality Labs on M12-based Raspberry Pi TLens Studio for AI-driven Industrial Machine Vision Applications

TØNSBERG, Norway–(BUSINESS WIRE)–poLight ASA (OSE: PLT) and Image Quality Labs (IQL) today announced the development of an M12-based Raspberry Pi TLens® Studio evaluation and development platform, utilizing the new line of TLens® off-the-shelf (OTS) focusing camera lens. This platform enables machine vision design engineers to quickly and easily evaluate high speed, constant field-of-view focusing functionality on their existing

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Market Analysis

Market Analysis

Microcontrollers enter a new growth cycle as the market targets US$34 billion in 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 releases its annual Status of the Microcontroller Industry report and expands its quarterly Microcontroller Market Monitor, delivering long-range strategic insights and detailed market tracking   Key Takeaways: The global MCU market

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Market Analysis

New IDTechEx Report: Sensor Market 2026-2036

This article was originally published at IDTechEx’s website. It is reprinted here with the permission of IDTechEx. IDTechEx forecasts that the global sensor market will reach US$250B by 2036 as global mega-trends in mobility, AI, robotics, 6G connectivity and IoT drive sensor demand. IDTechEx’s newly updated “Sensor Market 2026-2036: Technologies, Trends, Players, Forecasts” report provides extensive

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Automotive

China’s Autonomous Trucks Now Log Over One Million Kilometers Daily

This blog post was originally published at IDTechEx’s website. It is reprinted here with the permission of IDTechEx. To gain deeper insights into the rapidly accelerating market for autonomous trucks in China, IDTechEx recently visited Inceptio Technology, a leading Chinese autonomous trucking company. Across the global autonomous vehicle landscape, commercial trucks are emerging as one of the first

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Blog

Blog Posts

Grounded AI Starts Here: Rapid Customization for RAG and Context Engineering

This blog post was originally published in expanded form at RapidFire AI’s website. It is reprinted here with the permission of RapidFire AI. Building a reliable Retrieval Augmented Generation (RAG) pipeline should not  feel like guesswork. Yet for most AI developers, it still does. According to a recent MIT study on enterprise AI adoption, around 95%

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Blog Posts

How FPGA-Based Frame Grabbers Are Powering Next-Gen Multi-Camera Systems

This article was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. FPGA-based frame grabbers are redefining multi-camera vision by enabling synchronized aggregation of up to eight GMSL streams for autonomous driving, robotics, and industrial automation. They overcome bandwidth and latency limits of USB and Ethernet by using PCIe

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Algorithms & Models

97% Smaller, Just as Smart: Scaling Down Networks with Structured Pruning

This article was originally published at Analog Devices’ website. It is reprinted here with the permission of Analog Devices. Why Smaller Models Matter Shrinking AI models isn’t just a nice-to-have—it’s a necessity for bringing powerful, real-time intelligence to edge devices. Whether it’s smartphones, wearables, or embedded systems, these platforms operate with strict memory, compute, and

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