This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Running advanced AI and computer vision workloads on small, power-efficient devices at the edge is a growing challenge. Robots, smart cameras, and autonomous machines need real-time intelligence to see, understand, and react without depending on the cloud. The NVIDIA […]
This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. Welcome to the 11th edition of our yearly roundup of the Python libraries! If 2025 felt like the year of Large Language Models (LLMs) and agents, it’s because it truly was. The ecosystem expanded at incredible speed, with new models,
Top Python libraries of 2025 Read More +
This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Building truly photorealistic 3D environments for simulation is challenging. Even with advanced neural reconstruction methods such as 3D Gaussian Splatting (3DGS) and 3D Gaussian with Unscented Transform (3DGUT), rendered views can still contain artifacts such as blurriness, holes, or
How to Enhance 3D Gaussian Reconstruction Quality for Simulation Read More +
This blog post was originally published at Basler’s website. It is reprinted here with the permission of Basler. Deep learning vision systems are often already a central component of industrial image processing. They enable precise error detection, intelligent quality control, and automated decisions – wherever conventional image processing methods reach their limits. We show how a
Deep Learning Vision Systems for Industrial Image Processing Read More +
This post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Expanding the open model universe, NVIDIA today released new open models, data and tools to advance AI across every industry. These models — spanning the NVIDIA Nemotron family for agentic AI, the NVIDIA Cosmos platform for physical AI, the new NVIDIA Alpamayo family for autonomous vehicle
NVIDIA Unveils New Open Models, Data and Tools to Advance AI Across Every Industry Read More +
The partnership slashes model onboarding time to under 30 days, offering Alif customers a “Cursor-like” experience for building and deploying Edge AI models. SUNNYVALE, Calif., Jan. 6, 2026 (PRNewswire) — ModelCat AI, the creator of the world’s first fully autonomous AI model builder, today announced a strategic partnership with Alif Semiconductor, a global leader in
This blog post was originally published at Plainsight Technologies’ website. It is reprinted here with the permission of Plainsight Technologies. Image annotation has always been one of those tasks that’s both essential and tedious. Whether you’re labeling thousands of product photos for a retail model or identifying components in industrial footage, manual annotation is time-consuming and
ChatTag: Bringing ChatGPT Vision to Image Annotation in OpenFilter Read More +
For those who missed it in the holiday haze, Google’s Gemini 3 Pro launched on December 5th, but the push on vision isn’t just “better VQA.” Google frames it as a jump from recognition to visual + spatial reasoning, spanning documents, spatial, screens, and video. If you’re building edge AI products, that matters less as
Top 3 system patterns Gemini 3 Pro Vision unlocks for edge teams Read More +
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
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
97% Smaller, Just as Smart: Scaling Down Networks with Structured Pruning Read More +
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