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To communicate with others, humans can only use a limited amount of words to explain what they see in the outside world. This adaptable cognitive ability…
Three-dimensional (3D) tracking from monocular RGB videos is a cutting-edge field in computer vision and artificial intelligence. It focuses on estimating the three-dimensional positions and motions…
In this paper, researchers have introduced a NeRF-based mapping method called H2-Mapping, aimed at addressing the need for high-quality, dense maps in real-time applications, such as…
Utilizing NetworkX for Graph-Based Country Border AnalysisMaksim Shutov in UnsplashPython offers a wide range of libraries that allow us to easily and quickly address problems in…
A new era of photorealistic image synthesis has just begun thanks to the development of text-to-image (T2I) generative models like DALLE 2, Imagen, and Stable Diffusion.…
Handling and analysis of vast amounts of data is called Large-scale data processing. It involves extracting valuable insights, making informed decisions, and solving complex problems. It…
Fine-tuning language models are often overlooked to create language agents, specifically focusing on enhancing their capabilities in question-answering tasks using the Google search API. Researchers from…
Language models (LMs) have given researchers the ability to create natural language processing systems with less data and at more advanced levels of understanding. This has…
How to choose it and minimize your neural network training time.Image source: unsplash.com.Developing any machine learning model involves a rigorous experimental process that follows the idea-experiment-evaluation…
Part 2 of the series on strategic data analysisThis is part of a series on Strategic Data Analysis.Strategic Data Analysis (Part 1)Strategic Data Analysis for Descriptive…