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Tripolygon, a 3D modeling software developer, lets metaverse creators make their own 3D assets

TechCrunch

There are a number of ways to make money in the metaverse by participating in play-to-earn games, buying virtual real estate, or creating 3D assets on metaverse platforms like Roblox, AltspaceVR and VRChat. If users install Tripolygon’s UModeler in Unity, the 3D modeling tools will be added to the Unity, Hwang noted.

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How Nvidia became a trillion-dollar company

CIO

Nvidia’s transformation from an accelerator of video games to an enabler of artificial intelligence (AI) and the industrial metaverse didn’t happen overnight—but the leap in its stock market value to over a trillion dollars did. Some of those models are truly gargantuan: OpenAI’s GPT-4 is said to have over 1 trillion parameters.

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Will enterprises soon keep their best gen AI use cases under wraps?

CIO

Similarly, clothing brand Under Armour recently produced an ad that used AI-generated 3D models of the British boxer Anthony Joshua, based on videos they took of him in the past. About a year ago, LLMs were developed for creating proteins,” says Castillo. “We They’re now feeding the model new information with a three-week lag.

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10 Key Trends of Digital Transformation in Healthcare in 2022

OTS Solutions

At the heart of this shift are AI (Artificial Intelligence), ML (Machine Learning), IoT, and other cloud-based technologies. The intelligence generated via Machine Learning. There are also significant cost savings linked with artificial intelligence in health care.

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Avataar raises $45 million to improve consumer shopping experience with life-sized 3D product evaluation

TechCrunch

Avataar helps direct-to-consumer brands and e-commerce marketplaces with shaping their consumer journeys with 3D rendition of products. A virtual rendition of a refrigerator allows users to open and close the door, for instance. If you’re seeing 3D on a big large-volume service, it’s likely powered by us,” he said.

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10 highest-paying IT skills for 2024

CIO

These roles include data scientist, machine learning engineer, software engineer, research scientist, full-stack developer, deep learning engineer, software architect, and field programmable gate array (FPGA) engineer. It is used to execute and improve machine learning tasks such as NLP, computer vision, and deep learning.

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New Series: Creating Media with Machine Learning

Netflix Tech

By Vi Iyengar , Keila Fong , Hossein Taghavi , Andy Yao , Kelli Griggs , Boris Chen , Cristina Segalin , Apurva Kansara , Grace Tang , Billur Engin , Amir Ziai , James Ray , Jonathan Solorzano-Hamilton Welcome to the first post in our multi-part series on how Netflix is developing and using machine learning (ML) to help creators make better media?—?from