Blog


Introducing Community Code

View and share helpful code related to a competition in the new Community Code section!

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5 ways organizations are using AI for climate action

How can we use data and AI to help combat the effects of climate change? This post walks through real-world examples from DrivenData challenges working with public, private, and social sector organizations.

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Meet the winners of VisioMel Challenge: Predicting Melanoma Relapse

Hear from the winners how they managed to predict melanoma relapse using digital pathology slides!

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Meet the winners of the Video Similarity Challenge!

Introducing the winners of the Meta AI Video Similarity Challenge! Meet the top teams who identified copied and manipulated videos.

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Meet the finalists of the Pushback to the Future Challenge

Meet the participants who built the best models for predicting when flights will push back from the gate! These finalists will enter the next phase of the competition and collaborate with NASA scientists to explore translating their winning models into privacy-preserving federated learning models.

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Community Spotlight: Brett Mullins

The Community Spotlight features fantastic members from our DrivenData community. Brett Mullins is a graduate student whose work focuses on differential privacy and explainable machine learning.

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Community Spotlight: Dr. Helen Yannakoudakis

The Community Spotlight features fantastic members from our DrivenData community. Dr. Helen Yannakoudakis is an Assistant Professor and the co-founder and Chief Scientific Officer at Kinhub.

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Meet the winners of the Tick Tick Bloom: Harmful Algal Bloom Detection Challenge

Meet the participants who cracked the code to detect harmful algal blooms! Monitoring cyanobacteria in lakes and reservoirs keeps both the human and marine life that rely on these water bodies safe and healthy.

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Happy April Fools' Day 2023

Learn more about DrivenData's recently announced AI chatbot, April.

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Meet the Final Winners of the U.S. PETs Prize Challenge

Learn how these top teams applied novel privacy-enhancing technologies to the problems of financial crime and pandemic forecasting.

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Meet the BioMassters

Meet the minds behind the top models for predicting aboveground biomass using remote sensing data!

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VisioMel Challenge: Predicting Melanoma Relapse - Benchmark

Get started with the VisioMel Challenge! Come up with the best algorithms for predicting melanoma relapse.

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The Basics of Python Packaging in Early 2023

Explaining the basic concepts and best practices for creating Python packages in early 2023 using pyproject.toml build standards.

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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.

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What's a takahē?

Although Zamba's models are trained with animals from Africa and Europe, they can be used with videos from other locations that show species the models have never seen. We demonstrate with a dataset from New Zealand.

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Meet the winners of the Mars Spectrometry 2: Gas Chromatography Challenge

Meet the minds behind the top models for identifying the chemical composition of planetary soil samples using gas chromatography-mass spectrometry!

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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!

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Standing on the Threshold

Using probabilistic classifications from Zamba, we can automatically remove a large majority of blank videos while controlling the fraction of wildlife videos we lose. But how do we know where to draw the line?

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Getting started with the Meta AI Video Similarity Challenge

In this post, we walk through the steps for getting started with the Meta AI Video Similarity Challenge.

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Meet the Winners of the U.S. PETs Prize Challenge: Phase 1

Hear how these top teams applied novel privacy-enhancing technologies to the problems of financial crime and pandemic forecasting.

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