Technical posts
Explore the latest in our mission to build a better world using data science and AI.
Content list
Getting started with LLMs: a benchmark for the 'What's Up, Docs?' challenge
An introduction to using large language models via the benchmark to a document summarization challenge.
Goodnight Moon, Hello Early Literacy Screening Benchmark
In this guest post from the MIT Gabrieli Lab, we'll show you how to get started with the literacy screening challenge!
Youth Mental Health: Automated Abstraction Benchmark
Learn how to process text narratives using open-source LLMs for the Youth Mental Health: Automated Abstraction challenge
Cookiecutter Data Science V2
Announcing the V2 release of Cookiecutter Data Science, the most widely adopted data science project template.
Meet the winners of the Kelp Wanted challenge
Dive into the solutions from the super segmenters who best detected kelp in Landsat imagery!
Meet the winners of the SNOMED CT Entity Linking Challenge
Meet the winners with the best systems for detecting clinical terms in medical notes.
NASA Pose Bowl - Benchmark
An introduction to the NASA Pose Bowl competition, with a benchmark solution for the object detection track
SNOMED CT Entity Linking Challenge - Benchmark
In this guest post from Veratai, we'll help you get started with the SNOMED CT Entity Linking Challenge!
Meet the winners of the Unsupervised Wisdom Challenge!
Introducing the winners of the Unsupervised Wisdom Challenge! Meet the top teams who explored emergency department narratives about older adult falls.
Kelp Wanted Challenge - Benchmark
In this guest post by MathWorks, we'll show you how to start working with satellite images to detect the presence of kelp in coastal areas.
Meet the winners of VisioMel Challenge: Predicting Melanoma Relapse
Hear from the winners how they managed to predict melanoma relapse using digital pathology slides!
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.
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.
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.
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.
Meet the BioMassters
Meet the minds behind the top models for predicting aboveground biomass using remote sensing data!
VisioMel Challenge: Predicting Melanoma Relapse - Benchmark
Get started with the VisioMel Challenge! Come up with the best algorithms for predicting melanoma relapse.
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.
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!
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!
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.
The BioMassters Challenge - Benchmark
In this guest post by MathWorks, we'll show you how to start working with satellite data to help conservationists predict above ground biomass.
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