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Blackshark.ai’s digital twin of Earth attracts $20M in funding

TechCrunch

The basis of their technique is turning widely available 2D imagery into accurate 3D representations with machine learning, a bit of smart guesswork, and a lot of computing power. Using all this it creates a plausible 3D reconstruction of the building. But that also necessitates the aforementioned 2D-to-3D method.

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Understanding prompt engineering: Unlock the creative potential of Stability AI models on AWS

AWS Machine Learning - AI

A complete prompt might read: “3D Voxel Art; wide angle shot of a bright and colorful world.” For instance, in the prompt “A realistic 3D render of a red apple,” the clarity of tokenization can significantly affect the quality of the output image. Similarly, emphasizing multiple aspects, as in “A (photorealistic:1.4) (3D render:1.2)

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Generative AI-powered game design: Accelerating early development with Stability AI models on Amazon Bedrock

AWS Machine Learning - AI

Finally, use the generated images as reference material for 3D artists to create fully realized game environments. Shes passionate about machine learning technologies and environmental sustainability. He focuses on machine learning, environmental sustainability, and application modernization.

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Foxglove raises $15M to build dev infrastructure for robots

TechCrunch

While at Cruise, Macneil says that he saw firsthand the lack of off-the-shelf tooling for robotics and autonomous vehicle development; Cruise had to hire entire teams to build tooling in-house, including apps for visualization, data management, AI and machine learning, simulation and more.

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Evolution of Machine Learning, from Server to the Edge

UruIT

Traditionally, Machine Learning (ML) and Deep Learning (DL) models were implemented within an application in a server-client fashion way. Due to this exciting new development in machine learning and deep learning, we figured it would be interesting to show you how you can use Tensorflow.js TensorFlow.js

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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

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Sneaker fit startup Neatsy.ai gets $1M seed after B2B pivot

TechCrunch

startup, which was founded back in March 2019 by Artem Semyanov (the former head of the machine learning team at Prism Labs ), is now fully focused on selling its fit-tech to e-tailers via an SDK. Neatsy wants to reduce sneaker returns with 3D foot scans.

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