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

AWS Machine Learning - AI

It excels at creating diverse, high-quality images across multiple styles, making it valuable for industries such as media, gaming, advertising, and education. Finally, use the generated images as reference material for 3D artists to create fully realized game environments. In this post, we explore how you can use SD3.5

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SLAIT’s real-time sign language translation promises more accessible online communication

TechCrunch

MediaPipe offered an effective, open-source method for tracking hand and finger positions, sure, but the crucial component for any strong machine learning model is data, in this case video data (since it would be interpreting video) of ASL in use — and there simply isn’t a lot of that available.

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How Krikey AI harnessed the power of Amazon SageMaker Ground Truth to accelerate generative AI development

AWS Machine Learning - AI

Krikey AI is revolutionizing the world of 3D animation with their innovative platform that allows anyone to generate high-quality 3D animations using just text or video inputs, without needing any prior animation experience. The following diagram illustrates the SageMaker Ground Truth architecture.

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Here are the 23 companies pitching at Alchemist Accelerator’s Demo Day XXVIII today

TechCrunch

Copyright Delta : A blockchain-based platform for verifying and managing who owns the rights to a piece of media. Gaudium.AI : Generative AI for helping your social media team come up with new posts, generating unique copy within your specifications. The company says they’ve already got more than 2,000 trainers onboarded.

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Radar trends to watch: August 2020

O'Reilly Media - Ideas

One of the biggest issues facing machine learning is fitting it into current practices for deploying software. CML is an open source project developing tools for continuous integration and continuous deployment that are appropriate for machine learning. Google has introduced a toolkit for creating model cards.

Trends 122
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How NeRF Technology Is Creating the Next Generation of Media

CableLabs

The ways we create and consume visual media are constantly evolving, allowing us to experience places and things as if we’re physically present in those environments. If you’ve ever viewed a 3D house tour or a 3D piece of furniture on an e-commerce website, you might be wondering: What makes NeRF unique?

Media 59