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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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AMD Spartan UltraScale+ FPGA Kit Adds Proven Infineon HyperRAM Support for Edge AI Designs

Somewhat eclipsed by last week’s announcement that the AMD Spartan™ UltraScale+™ FPGA SCU35 Evaluation Kit is now available, AMD and Infineon have disclosed successful validation of Infineon’s 64-Mb HYPERRAM™ memory and HYPERRAM controller IP on the platform. This collaboration expands the kit’s value for engineers building edge AI and computer vision systems. The SCU35 kit,

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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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Now Available: AMD Spartan UltraScale+ FPGA SCU35 Evaluation Kit–An Affordable Platform for Every Developer

November 25, 2025 The AMD Spartan™ UltraScale+™ FPGA SCU35 Evaluation Kit is now available for order. Built by AMD, this platform offers customers an accelerated path to production with Spartan UltraScale+ FPGAs. The kit features the Spartan UltraScale+ SU35P device that offers I/O expansion and board management capabilities. It also brings several new advances to

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The 8-Series Reimagined: Snapdragon 8 Gen 5 Delivers Premium Performance and Experiences

San Diego, California November 25, 2025 — Qualcomm Technologies, Inc. today announced the Snapdragon® 8 Gen 5 Mobile Platform, a premium offering that combines outstanding performance with cutting-edge technologies, raising the bar for flagship mobile experiences. Key Takeaways: The Snapdragon 8-series continues to expand premium smartphone technologies, fueling many of the world’s leading flagship devices,

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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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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

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

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