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Image generated by Microsoft Bing In today’s world, where data drives decisions, simply creating machine learning (ML) models isn’t enough. Organizations need to do…
Researchers from the University of Southern California, the University of Washington, Bar-Ilan University, and Google Research introduced DreamSync, which addresses the problem of enhancing alignment and…
Human Activity Recognition (HAR) is a field of study that focuses on developing methods and techniques to automatically identify and classify human activities based on data…
Diffusion models are used for generating high-quality samples from complex data distributions. Discriminative diffusion models aim to leverage the principles of diffusion models for tasks like…
IntroductionInterview scheduling is a key part of hiring but is often not given enough attention. How well it’s done really affects everyone involved. For people applying…
There are symmetries everywhere. The universal principles of physics hold in both space and time. They exhibit symmetry when spatial coordinates are translated, rotated, and shifted…
In 3 words: timeliness, methodology, and digestibilityA couple of weeks ago, I wrote about building systems to generate more quality insights. I presented how you could…
In this article, I explore the public transport systems of four selected cities relying on General Transit Feed Specification and various tools of spatial data science.I…
In generative modeling, diffusion models (DMs) have assumed a pivotal role, facilitating recent progress in producing high-quality picture and video synthesis. Scalability and iterativeness are two…
Google DeepMind’s researchers have developed SODA, an AI model that addresses the problem of encoding images into efficient latent representations. With SODA, seamless transitions between images…