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Among the daily deluge of news about new advancements in Large Language Models (LLMs), you might be asking, “how do I train my own?”. Today, an…
3D paint brushes are usually used in 3D modeling or sculpting applications to create and manipulate 3D objects or models. These tools allow users to paint…
Advances in 3D graphics and perception have been demonstrated by recent advances in Neural Radiance Fields (NeRFs). Furthermore, the state-of-the-art 3D Gaussian Splatting (GS) framework has…
There is a long tradition of using games as AI performance indicators. Search and learning-based approaches performed well in various perfect information games, while game theory-based…
The generation of hyper-realistic human images from user-defined conditions, such as text and pose, is meaningful for various applications, including image animation and virtual try-ons. Numerous…
Data augmentation is a critical technique in deep learning that involves creating new training data by modifying existing samples. It is essential because it diversifies the…
Dominant search methods today typically rely on keywords matching or vector space similarity to estimate relevance between a query and documents. However, these techniques struggle when…
Researchers have undertaken the formidable task of enhancing the independence of individuals with visual impairments through the innovative Project Guideline. This initiative seeks to empower people…
Researchers from Genentech introduced tumor dynamic neural-ODE (TDNODE) as a pharmacology-informed neural network for enhancing tumor dynamic modeling in oncology drug development. Overcoming the limitations of…
This second module focuses on the concept of models scores, including the test score and train score. Those scores are then used to define overfitting and…