The blog post discusses the concept of embeddings in the Geospatial Machine Learning domain, explaining their role as compressed data representations created by training models on satellite data. It highlights the use of embedding...
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The blog post discusses the integration of Mojo, a new programming language, with Python, particularly focusing on translating Cython code from the scikit-learn library to Mojo. The author explores the potential of Mojo as a repla...
The post discusses geospatial foundation models (GFMs) and the skepticism around their training. It explores the debate on whether GFMs should be more general or specialized, and the challenges of training models on multiple senso...
The text is about the release of the ability to do GPU programming in Mojo, a language designed to solve AI development challenges. It discusses the importance of this step for Mojo and the potential of GPU programming in the lang...
0Speeding up CRC-32 calculations in Mojo
2024-10-05 •
The post is about speeding up CRC-32 calculations in Mojo. The author mentions that the post was done with Mojo 24.5 and a few language details have changed since the last post. The author explains that cyclic redundancy checks (C...
0Building your own personal ghostwriter
2024-10-03 •
The author participated in an AI hackathon and built an app called JournalAIst, which acts as a ghostwriter by interviewing users about their experiences and writing a blog post, short story, or article based on the interview. The...
0Parsing PNG images in Mojo
2024-05-04 •
The author is trying to parse PNG images in Mojo. They are trying to build a Machine Learning framework in pure Mojo and realized that the only images used so far were MNIST, which come in a weird binary format. The author is tryi...
0Mojo’s standard library goes open source
2024-04-14 •
Mojo's standard library has gone open source under the Apache 2.0 license. The language has undergone significant changes, including the addition of a dictionary type, profiling features, and a new Reference type. The release of v...
0An intuitive introduction to pansharpening
2024-01-02 •
Pansharpening is a method used in remote sensing to combine high spatial resolution panchromatic images with low spatial resolution multispectral images to create an image with both high spatial and spectral information. The Brove...
The 0.6.0 release of the Mojo programming language introduces traits and better Python-like string wrangling. The release includes the ability to call .split() on a string, as well as a bunch of useful Python methods. The spotligh...
0Mojo 0.5.0 and SIMD
2023-11-17 •
The text discusses the release of Mojo 0.5.0, which includes new features such as file handling, printing Tensors, and updates to the SIMD type. It explains the concept of SIMD and its importance in modern CPUs, as well as how SIM...
0Parameters in Mojo
2023-10-25 •
The text discusses the 0.4.0 update of Mojo, focusing on how parameters are handled in Mojo compared to Python. It explains the distinction between parameters and arguments in Mojo, and how they are used in functions. The text als...
0Stereo vision and disparity maps (in Julia)
2023-09-18 •
The text discusses the basics of how disparity is calculated in stereo vision, using Julia. It explains how depth can be calculated from a pair of images taken from different locations, and how disparity maps are used to represent...
0A first look at Mojo 🔥
2023-09-11 •
The text discusses the release of the Mojo programming language and its potential to combine the usability of Python with the performance of C. It compares Mojo with other languages like Julia and highlights the challenges and ben...