The researchers from The University of Hong Kong, Alibaba Group, and Ant Group developed LivePhoto to solve the issue of temporal motions being overlooked in current text-to-video generation studies. LivePhoto enables users to animate images with text descriptions while reducing ambiguity in text-to-motion mapping.
The study addresses limitations in existing image animation methods by presenting…
Building a responsible approach to data collection with the Partnership on AI At DeepMind, our goal is to make sure everything we do meets the highest standards of safety and ethics, in line with our Operating Principles. One of the most important places this starts with is how we collect our data. In the past…
Learn about Radial Treemaps and create your own with Python Radial-Treemap by Nick GerendThe Treemap Concept The “Treemap” was introduced by Ben Shneiderman at the University of Maryland in the early 1990s¹. Simply put, it’s an efficient way of displaying hierarchical data as a set of nested rectangles. Although the concept is simple, the arrangement…
The inherent nature of running a business demands you turn even the most banal, everyday actions into process- or systems-based frameworks to manage compliance, prevent fraud, and keep your ship running smoothly. To that end, though you’re used to swiping a card or handing over cash when you need to buy goods or services at…
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As the world of data science continuously evolves, the tools and technologies used by professionals in the field also advance. Google's NotebookLM is offering a unique and powerful way to understand your data and information. This blog post delves into what NotebookLM is, how it works, and the numerous possibilities…
How can high-quality 3D reconstructions be achieved from a limited number of images? A team of researchers from Columbia University and Google introduced ‘ReconFusion,’ An artificial intelligence method that solves the problem of limited input views when reconstructing 3D scenes from images. It addresses issues such as artifacts and catastrophic failures in reconstruction, providing robustness…
Notes References [1] John M Jumper, Richard Evans, Alexander Pritzel, Tim Green, Michael Figurnov, Olaf Ron-neberger, Kathryn Tunyasuvunakool, Russ Bates, Augustin Zídek, Anna Potapenko, Alex Bridgland, Clemens Meyer, Simon A A Kohl, Andy Ballard, Andrew Cowie, Bernardino Romera-Paredes, Stanislav Nikolov, Rishub Jain, Jonas Adler, Trevor Back, Stig Petersen, David A. Reiman, Ellen Clancy, Michal Zielinski,…
Reinforcement learning without the boilerplate code Created by the author with Leonardo Ai.In my previous articles about reinforcement learning, I have shown you how to implement (deep) Q-learning using nothing but a bit of numpy and TensorFlow. While this was an important step towards understanding how these algorithms work under the hood, the code tended…
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For a while now, ChatGPT has been in the limelight. Everyone is talking about it, and a lot of people are using it, what could possibly go wrong?
Google has always aimed to maintain its reputation of being an AI-first company, and so far they have been doing well. However, in…
A team of researchers from the University of Wisconsin-Madison, NVIDIA, the University of Michigan, and Stanford University have developed a new vision-language model (VLM) called Dolphins. It is a conversational driving assistant that can process multimodal inputs to provide informed driving instructions. Dolphins are designed to address the complex driving scenarios faced by autonomous vehicles…