Remove tag metaverse
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This Paper Unveils ‘Mach’ (Make-A-Character): Revolutionizing 3D Character Creation with Machine Learning for the AI and Metaverse Era

Marktechpost

The advent of the Metaverse and AI agents has fueled a growing need for customized and expressive character creation, especially in virtual meetings, conversational agents, and intelligent customer service. Realistic 3D avatars have become prevalent in video games, virtual reality/augmented reality experiences, and the film industry.

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Putting the AI in Retail: Survey Reveals Latest Trends Driving Technological Advancements in the Industry

NVIDIA

The use cases ranged from multimodal shopping advisors for personalized product recommendations; adaptive advertising, promotions and pricing; product tagging and cataloging; identification of similar and complementary products; as well as deployment of brand avatars for automated customer service.

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Automate caption creation and search for images at enterprise scale using generative AI and Amazon Kendra

AWS Machine Learning Blog

It allows users to quickly and easily find the images they need without having to manually tag or categorize them. Metaverse or augmented reality – Advertising a product is about creating a story that users can imagine and relate to. GenAI-based image captioning is particularly useful for automating this laborious process.

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Sierra Division Studios Presents Three Epic Projects Built With NVIDIA Omniverse

NVIDIA

It’s a future in which NVIDIA Omniverse , a platform for connecting and building custom 3D tools and metaverse applications, will play a critical role. Join by show us a photo/video of how one of your art projects started and then one of the final result + tag #StartToFinish. Welcome to our new #StartToFinish challenge.

AI 60
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Containerization of Machine Learning Applications

Heartbeat

A good example is a metaverse, where aspects of the physical world are mimicked in a simulated digital environment. Next, let's proceed to build our Docker image using the tag (mutable reference name) shipping_app from this Dockerfile as follows: docker build -t shipping_app. CMD [“gunicorn”, “ — bind”, “0.0.0.0:5000”,wsgi:app”]: