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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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NVIDIA Debuts Nemotron 3 Family of Open Models

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

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

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

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

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

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

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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Why Edge AI Struggles Towards Production: The Deployment Problem

There is no shortage of articles about how to develop and train Edge AI models. The community has also written extensively about why it makes sense to run those models at the edge: to reduce latency, preserve privacy, and lower data-transfer costs. On top of that, the MLOps ecosystem has matured quickly, providing the pipelines

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Nota AI Signs Technology Collaboration Agreement with Samsung Electronics for Exynos AI Optimization “Driving the Popularization of On-Device Generative AI”

Nota AI’s optimization technology integrated into Samsung Electronics’ Exynos AI Studio, enhancing efficiency in on-device AI model development   Seoul, South Korea Nov.26, 2025 — Nota AI, a company specializing in AI model compression and optimization, announced today that it has signed a collaboration agreement with Samsung Electronics’ System LSI Business to provide its AI

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