Graph neural networks (GNNs) and large language models (LLMs) have emerged as two major branches of artificial intelligence, achieving immense success in learning from graph-structured and natural language data respectively.…
You’ve likely heard the phrase, “measure twice, cut once.” Reconciling your balance sheet follows the same logic, but in reverse – spend once, check twice. Double-entry bookkeeping is built on…
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Data visualization is a crucial skill for anyone working with data. But creating beautiful, informative data viz can be time-consuming and require specialized tools. That's…
High-quality 3D content synthesis is a crucial yet challenging problem for many applications, such as autonomous driving, robotic simulation, gaming, filmmaking, and future VR/AR situations. The topic of 3D geometry…
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With A Tail of Cat Food Preferences Photo by Anastasiia Rozumna on UnsplashWelcome to the ‘Courage to learn ML’. This series aims to simplify complex machine learning concepts, presenting them…
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Join KDnuggets with our Back to Basics pathway to get you kickstarted with a new career or a brush up on your data science skills.…
NeRF represents scenes as continuous 3D volumes. Instead of discrete 3D meshes or point clouds, it defines a function that calculates color and density values for any 3D point within…
New white paper investigates models and functions of international institutions that could help manage opportunities and mitigate risks of advanced AI Growing awareness of the global impact of advanced artificial…
The team of researchers from NYU and Meta aimed to address the challenge of robotic manipulation learning in domestic environments by introducing DobbE, a highly adaptable system capable of learning…