Blog

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.

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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!

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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

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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.

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Meet the winners of the Hakuna Ma-Data Challenge

Meet the winners who built the best wildlife identifiers!

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Meet the winners of the Open AI Caribbean Challenge

Meet the winners who were best able to map disaster risk from aerial imagery!

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Segmenting Buildings for Disaster Resilience - Benchmark

We'll show you how to start detecting building outlines for our latest disaster resilience challenge.

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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!

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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.

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Richter's Predictor - Benchmark

In this post we'll show you how to start using data science to predict the extent of earthquake damge!

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Our Minimum Viable Process for changing and deploying software

Over the years, we have gradually settled on a process for changing and releasing software that is robust enough to prevent common failure modes but lightweight enough to be minimally annoying. Here’s what it looks like when we make a change.

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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!

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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.

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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!

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DrivenData On The Air: Of Checklists, Ethics, and Data

Emily Miller and Peter Bull discuss project deon on Podcast.init!

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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!

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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!

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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!

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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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Meet the winners of the Power Laws: Forecasting Energy Consumption

Meet the winners who were best able to use machine learning to predict building energy consumption!

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