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Fun Sunday exercise, how much useful information I can squeeze in a tiny AI model. My goal was to take a general-purpose language model and turn it into an expert on a topic vital such as agriculture. Here are my steps: 1. The Foundation: Google’s Gemma 270M I started with this small but powerful…
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I started this exercise wondering how Google DeepMind’s AlphaEarth embeddings dataset would compare to historical fire data. It turned out to be a really interesting experience.I learned there are a lot of fires in central Africa—especially Southern DRC, Angola, and Zambia—far more than I expected. Apparently, some fires are set on purpose as part…
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🤯 This incredible image showcases the stunning beauty and diversity of the African continent, generated using the new AlphaEarth Foundations dataset on Google Earth Engine. So what is this dataset all about? Imagine being able to X-ray the entire Earth across multiple years, even seeing through clouds! Dealing with clouds in remote sensing is…
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Absolutely stunning images of Gabon and Tchad from the European Space Agency’s (ESA) Biomass satellite. The first image shows the Ivindo River in Gabon, stretching from the DRC border all the way to Makoukou in the Ogooué-Ivindo province. This region is known for its dense forests. Typically, when we look at forests from above,…
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For those in genomic research: Google DeepMind has released AlphaGenome, an AI model for predicting DNA sequences. The API is free for non-commercial research use. Feel free to share this with anyone in the field who might be interested. You can get the API key here: https://deepmind.google.com/science/alphagenome/account/terms Blog: https://deepmind.google/discover/blog/alphagenome-ai-for-better-understanding-the-genome/ Colab examples: Quickstart: https://colab.research.google.com/github/google-deepmind/alphagenome/blob/main/colabs/quick_start.ipynb#scrollTo=81ffd5da Vizualizing…
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(Note: This post reflects my personal opinions and may not reflect those of my employer) This image is a spectrogram representing my name, “Abdoulaye,” generated from my voice audio by HeAR (Health Acoustic Representations). HeAR is one of the recently released Health AI foundation models by Google. I’ve been captivated by these foundation models…
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Visualizing Machine Learning: An Interactive 3D Guide to Gradient Descent & SVMs From Gaussian Curves to the Heat Equation
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Google DeepMind has released TxGemma, a set of open-weight AI models designed for therapeutic development. These models, based on the Gemma architecture, are trained to analyze and predict characteristics of therapeutic entities during drug discovery. 💊 The release includes ‘chat’ variants (9B and 27B) that can engage in dialogue and provide explanations for their…
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🚨 Gemma 3 is out! It’s a family of open AI models (1B-27B parameters) featuring a 128k token context window (can work with very long documents and conversations), multilingual support (35+ languages, trained on 140+), and single GPU/TPU compatibility. I’m excited about its potential to increase accessibility to advanced AI models, especially in resource-constrained…
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I tested the Gemini Datascience agent with the Hout Bay (Cape Town, South Africa) building data footprint, asking simple spatial questions, “show me small houses” and “identify crowded areas” “what about large houses with few neighbors”. The agent generates interesting visualizations and can select various algorithms, for example it picked k-Nearest Neighbors (k-NN) to detect houses…