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NVIDIA presents latest advancements in visual AI

AI News

With enhanced reasoning capabilities, VILA can even comprehend internet memes by combining visual and linguistic understanding. NVIDIA’s visual AI research spans numerous industries, including over a dozen papers exploring novel approaches for autonomous vehicle perception, mapping, and planning.

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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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New AI tool lets you reshape images by clicking and dragging

Flipboard

In a year dominated by chatbots, advances in visual AI tools continue racing forward. A new AI research model called DragGAN (spotted by The Verge) made waves on social media over the weekend, and for good reason. This stuff keeps getting freakier. The idea is that you can reshape images to your …

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Modernizing mainframe applications with a boost from generative AI

IBM Journey to AI blog

Overcoming the limitations of generative AI We’ve seen numerous hypes around generative AI (or GenAI) lately due to the widespread availability of large language models (LLMs) like ChatGPT and consumer-grade visual AI image generators.

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TikTok’s Depth Anything: Revolutionizing Monocular Depth Estimation with Massive Data

Analytics Vidhya

TikTok has introduced a groundbreaking development in Monocular Depth Estimation (MDE) with the release of “Depth Anything.” ” This innovative model leverages a colossal dataset, consisting of 62 million images, to establish itself as a foundational model in the field.

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Alibaba Cloud Unveils Tongyi Wanxiang: An AI Image Generation Model to Help Businesses to Unleash Creativity and Productivity

Marktechpost

In addition, the model can take any image and generate a similar-looking new image through “style transfer,” which keeps the original image’s content intact while giving it the visual style of another image. It has powerful semantic understanding capabilities, which lead to improved image quality and contextual relevance.