No Inpainting, just Stable Diffusion upscaling to the extreme
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Last Updated on September 26, 2023 When you are working on a data science project, the data is often tabular structured. You can use the built-in data table to handle such data in R. You can also use the famous library dplyr instead to benefit from its rich toolset. In this post, you will learn …
Implicit neural fields, typically encoded by a multilayer perceptron (MLP) that maps from coordinates (e.g., xyz) to signals (e.g., signed distances), have shown remarkable promise as a high-fidelity and compact representation. However, the lack of a regular and explicit grid structure also makes it challenging to apply generative modeling directly on implicit neural fields in …
Read more “HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion”
We are beginning to roll out new voice and image capabilities in ChatGPT. They offer a new, more intuitive type of interface by allowing you to have a voice conversation or show ChatGPT what you’re talking about.
The magic behind Uber’s data-driven success Uber, the ride-hailing giant, is a household name worldwide. We all recognize it as the platform that connects riders with drivers for hassle-free transportation. But what most people don’t realize is that behind the scenes, Uber is not just a transportation service; it’s a data and analytics powerhouse. Every …
Read more “Unleashing the power of Presto: The Uber case study”
This post was co-authored with Daniele Chiappalupi, participant of the AWS student Hackathon team at ETH Zürich. Everyone can easily get started with machine learning (ML) using Amazon SageMaker JumpStart. In this post, we show you how a university Hackathon team used SageMaker JumpStart to quickly build an application that helps users identify and remove …
Read more “Innovation for Inclusion: Hack.The.Bias with Amazon SageMaker”
Despite being primarily trained on text, these models achieved remarkable compression rates on image and audio data.Read More
Stock-photo giant Getty Images has partnered with Nvidia to build an image generator. Just like with other tools of its ilk, questions remain about who should get credit for the pictures it dreams up.
New physics-based self-learning machines could replace the current artificial neural networks and save energy.
Photos are two-dimensional (2D), but autonomous vehicles and other technologies have to navigate the three-dimensional (3D) world. Researchers have developed a new method to help artificial intelligence (AI) extract 3D information from 2D images, making cameras more useful tools for these emerging technologies.