Deep learning posts
Explore the latest in our mission to build a better world using data science and AI.
Content list
Pushback to the Future: Predict Pushback Time at US Airports - Benchmark
Get started with the Pushback to the Future challenge! Come up with the best algorithms for predicting a flight's pushback time from real-time flight data.
How to Predict Harmful Algal Blooms Using LightGBM and Satellite Imagery
We'll show how to use satellite imagery and LightGBM to create a tree-based model predicting harmful algal blooms. This post will help you get started on our new Tick Tick Bloom Challenge!
Where's Whale-Do? Data Exploration and Benchmark
How to get started with the Where's Whale-do beluga photo-identification challenge!
Introduction to Image Classification using Camera Trap Images
We'll show you how to get started identifying animal species from camera trap images!
Run-way Functions: Predict Reconfigurations at US Airports - Benchmark
Start exploring how to help airports manage their runways to keep air traffic flowing.
How to Use Deep Learning, PyTorch Lightning, and the Planetary Computer to Predict Cloud Cover in Satellite Imagery
We'll demonstrate how to get started predicting cloud cover in satellite imagery for our new competition!
How to Map Floodwater from Radar Imagery using Semantic Segmentation - Benchmark
We'll show you how to tune a U-Net model to measure flood extent using Sentinel-1 synthetic-aperture radar imagery.
How to Predict Disturbances in the Geomagentic Field with LSTMs - Benchmark
We'll show you how to train an LSTM network using space weather data to predict changes in Earth's magnetic field for our latest challenge.
How to Use Deep Learning to Predict Tropical Storm Wind Speeds - Benchmark
We'll show you how to start predicting wind speeds for our latest disaster preparedness challenge.
How to Use Deep Learning to Identify Wildlife
We show you how to get off to a wild start on our animal identification competition using a neural network!
How to Use an LSTM for Timeseries and the Cold-start Problem
We show you how to get a warm start on our cold start competition using a neural network!
Results from Pri-Matrix Factorization and a New Open Source Tool for Wildlife Research and Conservation
Using AI to study the natural world: check out the results!
Join our newsletter or follow us for the latest on our social impact projects, data science competitions and open source work.
Protected by reCAPTCHA. The Google
Privacy Policy and
Terms of Service apply.
Work with us to build a better world
Learn more about how our team is bringing the transformative power of data science and AI to organizations tackling the world's biggest challenges.