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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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CommonGround raises $25M for immersive video avatar technology that doesn’t rely on VR gear

TechCrunch

Like “TrueSelf Scan,” the name of the initial application that’s used to scan a person’s image, the meeting software also will not require a VR headset to use and engage with — users will be “seated” in a room that will be shown on a video screen.

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Scale AI gets into the synthetic data game

TechCrunch

billion company was paved in real data from images, text, voice and video. They announced Wednesday an early access program to Scale Synthetic , a product that machine learning engineers can use to enhance their existing real-world data sets, according to the company. Scale AI’s path to becoming a $7.3

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Meet the 14 companies launching out of the Entrepreneurs Roundtable Accelerator

TechCrunch

Andiamo uses machine learning, 3D simulation and 3D printing to create custome braces for children with cerebral palsy, bringing down the cost and improving outcomes for clinicians, patients and families alike. SquadOV joins the ever-growing video game space to focus on team improvement for team-oriented video games.

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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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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. Because of the advancements in electronic device technology and software, video and audio appointments can be held on various internet-connected devices. The intelligence generated via Machine Learning.