Competition posts
Explore the latest in our mission to build a better world using data science and AI.
Content list
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.
Meet the winners of TissueNet: Detect Lesions in Cervical Biopsies
Hear from the winners who were best able to diagnose whole slide images of cervical biopsies using computer vision.
America's Next Top (Statistical) Model 2020 - Benchmark
There's a lot at stake in the 2020 U.S. election. Can you predict the outcome? This benchmark shows you how to try using pollster data from FiveThirtyEight.
Meet the winners of the Clog Loss Challenge for Alzheimer's Research
Meet the winners who were best able to detect clogged blood vessels and advance Alzheimer's research from 3D image stacks.
Genetic Engineering Attribution - Benchmark
In this post we'll show you how to train a random forest model to predict the lab-of-origin from DNA sequences!
Advance Alzheimer’s Research with Stall Catchers - Benchmark
In this guest post by MathWorks, we'll show you how to start working with videos to determine if a blood vessel is stalled or flowing.
How to build a multimodal deep learning model to detect hateful memes
We're launching a new competition to detect hateful memes. In this post, we'll show you how to get started!
Meet the winners of the Open Cities AI Challenge
Meet the winners with the best building segmentation models and ethical perspectives for disaster risk management
Flu Shot Learning: Predict H1N1 and Seasonal Flu Vaccines - Benchmark
In this post, we will show you how to get started with machine learning for predicting flu vaccination.
Meet the winners of the Hakuna Ma-Data Challenge
Meet the winners who built the best wildlife identifiers!
Meet the winners of the Open AI Caribbean Challenge
Meet the winners who were best able to map disaster risk from aerial imagery!
Segmenting Buildings for Disaster Resilience - Benchmark
We'll show you how to start detecting building outlines for our latest disaster resilience 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!
Mapping Disaster Risk from Aerial Imagery - Benchmark
In this post we'll show you how to start working with aerial imagery to classify the roof material of buildings in St. Lucia, Guatemala, and Colombia.
Richter's Predictor - Benchmark
In this post we'll show you how to start using data science to predict the extent of earthquake damage!
Meet the winners of Sustainable Industry: Rinse Over Run
Meet the winners who were best able to predict cleanliness levels and draw insights for more sustainable industrial practices!
Sustainable Industry: Rinse Over Run - Benchmark
We're really excited to launch our latest competition! In addition to an interesting, new prize structure, the subject matter is at the intersection of sustainability and industry. Improvements to these kinds of processes can have upside for both a business and the planet.
Meet the winners of Power Laws: Cold Start Energy Forecasting
Meet the winners who were best able to tackle the cold start problem in energy forecasting!
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!
Machine Learning With A Heart - Benchmark
We've all got to start somewhere. In this post we'll show you how to start using data science to predict heart health!
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!
Meet the winners of Power Laws: Anomaly Detection
Meet the winners who were best able to use machine learning to detect anomalies in building energy consumption!
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