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Generative AI Playground: Text-to-Image Stable Diffusion with Stability AI, Stable Diffusion XL, and CompVis on the Latest Intel® GPU

Promotional Content     Stable Diffusion models are revolutionizing digital artistry, transforming mere text into stunning, lifelike images. These models, notably Stability AI’s Stable Diffusion XL, leverage Intel's GPU technology for creating incredibly detailed visuals from text. This blending of AI and creative expression is not just a technological leap but a gateway to…

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Meet MouSi: A Novel PolyVisual System that Closely Mirrors the Complex and Multi-Dimensional Nature of Biological Visual Processing

Current challenges faced by large vision-language models (VLMs) include limitations in the capabilities of individual visual components and issues arising from excessively long visual tokens. These challenges pose constraints on the model’s ability to accurately interpret complex visual information and lengthy contextual details. Recognizing the importance of overcoming these hurdles for improved performance and versatility,…

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The Most Advanced Libraries for Data Visualization and Analysis on the Web | by LucianoSphere (Luciano Abriata, PhD) | Feb, 2024

In this new post I present the outcome of my quest for the most advanced and powerful libraries for web-based data visualization and analysis as judged by me after a careful analysis of performance, flexibility, and richness of features. Some of the libraries I selected are not popular at all, but they offer surprising capabilities…

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How to Create & Implement your Policy

Welcome to Expense Policy 101! Whether you’re the captain of a startup ship or steering a more established enterprise, grappling with expenses is as inevitable as those awkward team-building exercises. This guide seeks to demystify the enigma of creating and implementing a business expense policy that doesn’t just sit pretty in a company handbook but…

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This AI Paper Proposes Two Types of Convolution, Pixel Difference Convolution (PDC) and Binary Pixel Difference Convolution (Bi-PDC), to Enhance the Representation Capacity of Convolutional Neural Network CNNs

Deep convolutional neural networks (DCNNs) have been a game-changer for several computer vision tasks. These include object identification, object recognition, image segmentation, and edge detection. The ever-growing size and power consumption of DNNs have been key to enabling much of this advancement. Embedded, wearable, and Internet of Things (IoT) devices, which have restricted computing resources…

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Sensitivity Analysis for Unobserved Confounding | by Ugur Yildirim | Feb, 2024

How to know the unknowable in observational studies Introduction Problem Setup 2.1. Causal Graph 2.2. Model With and Without Z 2.3. Strength of Z as a Confounder Sensitivity Analysis 3.1. Goal 3.2. Robustness Value PySensemakr Conclusion Acknowledgements References The specter of unobserved confounding (aka omitted variable bias) is a notorious problem in observational studies. In…

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