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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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10 Best AI Accessibility Tools for Websites (January 2025)

Unite.AI

Here are some of the top leading AI-powered accessibility solutions that help businesses create inclusive digital experiences while maintaining compliance with accessibility standards. accessiBe accessiBe brings together AI, machine learning, and computer vision to make websites naturally accessible to everyone. and ADA standards.

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Meta unveils five AI models for multi-modal processing, music generation, and more

AI News

Meta has unveiled five major new AI models and research, including multi-modal systems that can process both text and images, next-gen language models, music generation, AI speech detection, and efforts to improve diversity in AI systems. As AI rapidly innovates, Meta believes working with the global community is crucial.

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Snap introduces advanced AI for next-level augmented reality

AI News

Acknowledging past shortcomings in machine learning utilisation, Snap’s CEO Evan Spiegel announced a new, assertive strategy to integrate AI and machine learning technologies into its services, marking a substantial departure from its long-term focus on revising its advertising approach.

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Industrial Ecosystem Adopts Mega NVIDIA Omniverse Blueprint to Train Physical AI in Digital Twins

NVIDIA

Advances in physical AI are enabling organizations to embrace embodied AI across their operations, bringing unprecedented intelligence, automation and productivity to the worlds factories, warehouses and industrial facilities. In these ways, physical AI is becoming integral to todays industrial operations.

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Modernizing mainframe applications with a boost from generative AI

IBM Journey to AI blog

And there’s no reason why mainframe applications wouldn’t benefit from agile development and smaller, incremental releases within a DevOps-style automated pipeline. When AIs are trained with content found on the internet, they may often provide convincing and believable dialogss, but not fully accurate responses.

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

Marktechpost

In addition, manual processing can lead to inconsistencies and inaccuracies, such as incorrect tagging or improper categorization, complicating the content management workflow and hindering the effective utilization of visual assets. We’ll see how Visual AI solutions can help the industry streamline such processes.

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