Articles for category: AI Research

March 8, 2025

ikayaniaamirshahzad@gmail.com

Reddit – Dive into anything

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March 8, 2025

ikayaniaamirshahzad@gmail.com

Reddit – Dive into anything

We value your privacy Reddit and its partners use cookies and similar technologies to provide you with a better experience. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. For more information, please see our Cookie Notice and our Privacy Policy. Source link

March 8, 2025

ikayaniaamirshahzad@gmail.com

Reddit – Dive into anything

We value your privacy Reddit and its partners use cookies and similar technologies to provide you with a better experience. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. For more information, please see our Cookie Notice and our Privacy Policy. Source link

March 7, 2025

ikayaniaamirshahzad@gmail.com

Reddit – Dive into anything

We value your privacy Reddit and its partners use cookies and similar technologies to provide you with a better experience. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. For more information, please see our Cookie Notice and our Privacy Policy. Source link

March 7, 2025

ikayaniaamirshahzad@gmail.com

Reddit – Dive into anything

We value your privacy Reddit and its partners use cookies and similar technologies to provide you with a better experience. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. For more information, please see our Cookie Notice and our Privacy Policy. Source link

March 7, 2025

ikayaniaamirshahzad@gmail.com

ScreenAI: A visual language model for UI and visually-situated language understanding

Posted by Srinivas Sunkara and Gilles Baechler, Software Engineers, Google Research Screen user interfaces (UIs) and infographics, such as charts, diagrams and tables, play important roles in human communication and human-machine interaction as they facilitate rich and interactive user experiences. UIs and infographics share similar design principles and visual language (e.g., icons and layouts), that offer an opportunity to build a single model that can understand, reason, and interact with these interfaces. However, because of their complexity and varied presentation formats, infographics and UIs present a unique modeling challenge. To that end, we introduce “ScreenAI: A Vision-Language Model for UI

March 7, 2025

ikayaniaamirshahzad@gmail.com

The AI Revolution in Medicine, Revisited: An Introduction

Transcript [MUSIC] PETER LEE: This is The AI Revolution in Medicine, Revisited. I’m Peter Lee, president of Microsoft Research, and I’m pretty excited to introduce this series of conversations as part of the Microsoft Research Podcast. About two years ago, with Carey Goldberg and Zak Kohane, we wrote a book, The AI Revolution in Medicine. This was a book that was intended to educate the world of healthcare and the world of medical research about this new thing that was emerging. This idea of generative AI. And we wrote the book in secret. In fact, the whole existence of what

March 7, 2025

ikayaniaamirshahzad@gmail.com

Adversarial Reprogramming of Neural Cellular Automata

Contents This article is part of the Differentiable Self-organizing Systems Thread, an experimental format collecting invited short articles delving into differentiable self-organizing systems, interspersed with critical commentary from several experts in adjacent fields. Self-Organising Textures This article makes strong use of colors in figures and demos. Click here to adjust the color palette. In a complex system, whether biological, technological, or social, how can we discover signaling events that will alter system-level behavior in desired ways? Even when the rules governing the individual components of these complex systems are known, the inverse problem – going from desired behaviour to system

March 7, 2025

ikayaniaamirshahzad@gmail.com

Selective Inference with Distributed Data

Selective Inference with Distributed Data Sifan Liu, Snigdha Panigrahi; 26(12):1−44, 2025. Abstract When data are distributed across multiple sites or machines rather than centralized in one location, researchers face the challenge of extracting meaningful information without directly sharing individual data points. While there are many distributed methods for point estimation using sparse regression, few options are available for estimating uncertainties or conducting hypothesis tests based on the estimated sparsity. In this paper, we introduce a procedure for performing selective inference with distributed data. We consider a scenario where each local machine solves a lasso problem and communicates the selected predictors