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NVIDIA presents latest advancements in visual AI

AI News

NVIDIA researchers are presenting new visual generative AI models and techniques at the Computer Vision and Pattern Recognition (CVPR) conference this week in Seattle. The advancements span areas like custom image generation, 3D scene editing, visual language understanding, and autonomous vehicle perception.

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Roboflow Helps Unlock Computer Vision for Every Kind of AI Builder

NVIDIA

The importance of sight in understanding the world makes computer vision essential for AI systems. By simplifying computer vision development, startup Roboflow helps bridge the gap between AI and people looking to harness it. 22:15 How multimodalilty allows AI to be more intelligent.

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How Visual AI Can Assist Businesses In Efficiently Managing Large Volumes Of Images

Marktechpost

We’ll see how Visual AI solutions can help the industry streamline such processes. With Visual AI solutions, e-commerce businesses can automatically change backgrounds, improve image quality, remove watermarks and even stage products in different environments. But how, exactly, are they to tackle them?

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AI Gets Physical: New NVIDIA NIM Microservices Bring Generative AI to Digital Environments

NVIDIA

NVIDIA announced at SIGGRAPH generative physical AI advancements including the NVIDIA Metropolis reference workflow for building interactive visual AI agents and new NVIDIA NIM microservices that will help developers train physical machines and improve how they handle complex tasks.

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AI Emotion Recognition and Sentiment Analysis (2025)

Viso.ai

AI emotion recognition is a very active current field of computer vision research that involves facial emotion detection and the automatic assessment of sentiment from visual data and text analysis. provides the end-to-end computer vision platform Viso Suite. How does visual AI Emotion Recognition work?

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Applying Visual AI to Legacy Security Systems

DataRobot Blog

This blog post will demonstrate how the DataRobot team applied DataRobot’s Visual AI and AutoML capabilities to rapidly build models capable of detecting firearms in bags using open-source databases of X-ray security scans. Dataset and Modeling Process. AI CLOUD FOR PUBLIC SECTOR. firearms) when scoring new images.

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AI on the farm: Ag-tech startups help zap weeds, fertilize crops — but still face challenges with data

Flipboard

Powered by a low-energy AI model, Aigen’s robot can run on solar power and send real-time crop information to a cloud-based mobile app. Pollen Systems is a Seattle-area ag-tech startup that uses aerial imagery and individual per-plant data to train its models. They decided to focus on agriculture.

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