Foundational models are large deep-learning neural networks that are used as a starting point to develop effective ML models. They rely on large-scale training data and exhibit exceptional zero/few-shot performance…
How Neural Networks are strong tools for solving differential equations without the use of training data Photo by Linus Mimietz on UnsplashDifferential equations are one of the protagonists in physical…
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Generative AI is growing, with more people interested in how they can transition into the AI sector. A big hit at the moment and if…
Text-to-image (T2I) generation is a rapidly evolving field within computer vision and artificial intelligence. It involves creating visual images from textual descriptions blending natural language processing and graphic visualization domains.…
A step-by-step illustration of how to use SOLID to solve a refactoring challenge Photo by Lucas Davies on UnsplashIntroduction Code refactor challenges are well-known by software engineers, but less so…
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If you’re a data professional, you’re probably familiar with the data lake architecture. A data lake can store large volumes of raw and unstructured data.…
Understanding the world from a first-person perspective is essential in Augmented Reality (AR), as it introduces unique challenges and significant visual transformations compared to third-person views. While synthetic data has…
I discovered the Himalayan Database a few weeks ago and decided to create a few “whimsical” visualizations based on this dataset. In two previous articles I created a simple elevation…
Data comes in different shapes and forms. One of those shapes and forms is known as categorical data. This poses a problem because most Machine Learning algorithms use only numerical…
Removing the outer border of Landsat satellite images using the stac file (source: author)Telling stories with satellite images is straightforward. The mesmerising landscapes do most of the work. Yet, visualising…