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

Blog Posts, Information Access and Analytics, RapidFire AI, Tools /

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

Lattice Semiconductor, News, Processors, Tools /

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

Algorithms & Models, Analog Devices, Blog Posts, Tools /

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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NVIDIA Debuts Nemotron 3 Family of Open Models

Algorithms & Models, News, NVIDIA, Tools /

News Summary: The Nemotron 3 family of open models — in Nano, Super and Ultra sizes — introduces the most efficient family of open models with leading accuracy for building agentic AI applications. Nemotron 3 Nano delivers 4x higher throughput than Nemotron 2 Nano and delivers the most tokens per second for multi-agent systems at scale through a

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Better Than Real? What an Apple-Orchard Benchmark Really Says About Synthetic Data for Vision AI

Agriculture, Articles, Synetic AI, Tools /

If you work on edge AI or computer vision, you’ve probably run into the same wall over and over: The model architecture is fine. The deployment hardware is (barely) ok. But the data is killing you—too narrow, too noisy, too expensive to expand. That’s true whether you’re counting apples, spotting defects on a production line,

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The architecture shift powering next-gen industrial AI

Arm, Blog Posts, Processors, Software, Tools /

This blog post was originally published at Arm’s website. It is reprinted here with the permission of Arm. How Arm is powering the shift to flexible AI-ready, energy-efficient compute at the “Industrial Edge.” Industrial automation is undergoing a foundational shift. From industrial PC to edge gateways and smart sensors, compute needs at the edge are changing fast. AI is moving

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NVIDIA Advances Open Model Development for Digital and Physical AI

Algorithms & Models, Automotive, Blog Posts, NVIDIA, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA releases new AI tools for speech, safety and autonomous driving — including NVIDIA DRIVE Alpamayo-R1, the world’s first open industry-scale reasoning vision language action model for mobility — and a new independent benchmark recognizes the openness and

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OpenVINO 2025.4 Release Broadens Model Support

Intel, News, Tools /

OpenVINO 2025.4 is very much an edge-first release: it tightens the loop between perception, language, and action across AI PCs, embedded devices, and near-edge servers. On the model side, Intel is clearly optimizing for “local RAG + agents.” CPUs and GPUs now get first-class support for Qwen3-Embedding-0.6B and Qwen3-Reranker-0.6B, plus Mistral-Small-24B-Instruct-2501, giving developers a compact

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Breaking the Human Accuracy Barrier in Computer Vision Labeling

3LC, Blog Posts, Tools /

This article was originally published at 3LC’s website. It is reprinted here with the permission of 3LC. Introduction There’s been a lot of excitement lately around how foundation models (such as CLIP, SAM, Grounding DINO, etc.) can come close to human-level performance when labeling common objects, saving a ton of labeling effort and cost. It’s impressive progress. However,

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NVIDIA and Synopsys Announce Strategic Partnership to Revolutionize Engineering and Design

News, NVIDIA, Processors, Synopsys, Tools /

Key Highlights Multiyear collaboration spans NVIDIA CUDA accelerated computing, agentic and physical AI, and Omniverse digital twins to achieve simulation speed and scale previously unattainable through traditional CPU computing — opening new market opportunities across engineering. To further adoption of GPU-accelerated engineering solutions, the companies will collaborate in engineering and marketing activities. NVIDIA invested $2

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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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