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NVIDIA presents latest advancements in visual AI

AI News

On the visual language front, NVIDIA collaborated with MIT to develop VILA , a new family of vision language models that achieve state-of-the-art performance in understanding images, videos, and text. With enhanced reasoning capabilities, VILA can even comprehend internet memes by combining visual and linguistic understanding.

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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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Staying in Sync: NVIDIA Combines Digital Twins With Real-Time AI for Industrial Automation

NVIDIA

In such industries — often involving bulky products, expensive equipment, cobot environments and logistically complex facilities — a simulation-first approach is ushering in the next phase of automation.

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Applying Visual AI to Legacy Security Systems

DataRobot Blog

Artificial intelligence (AI) can accelerate inspections by automating some reviews and prioritizing others, and unlike humans at the end of a long shift, an AI’s performance does not degrade over time. DataRobot’s Visual AI provides an easy way to overcome this object with automated image augmentation.

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The next generation of BI: Powered by IBM Granite foundation models

IBM Journey to AI blog

But what many might not know is how Cognos Analytics has seamlessly integrated artificial intelligence (AI) to revolutionize users’ BI experience. AI in Cognos automates many traditionally manual tasks. Automated metrics creation Even the task of creating metrics and KPIs is simplified.

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Foxconn Expands Blackwell Testing and Production With New Factories in U.S., Mexico and Taiwan

NVIDIA

Floor plan layouts are optimized first in the digital twin, and planners can locate optimal camera positions that help measure and identify ways to streamline operations with Metropolis visual AI agents. Using Omniverse, Foxconn can simulate robot AIs before deploying to NVIDIA Jetson-driven autonomous mobile robots.

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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.