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Hosting An Online Conference: Philly Emerging Technology for the Enterprise (ETE)
Conferences are great for a variety of reasons–getting exposed to cool up-and-coming technologies, connecting with old friends, and doing recruiting and business development. For the last few years, I’ve been a co-organizer for Philly Emerging Technologies for the Enterprise (ETE)–a fantastic developer-focused conference that has run in Philadelphia for fourteen years. While ETE was planned…
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Hosting An Online Conference: Philly Emerging Technology for the Enterprise (ETE)
Conferences are great for a variety of reasons–getting exposed to cool up-and-coming technologies, connecting with old friends, and doing recruiting and business development. For the last few years, I’ve been a co-organizer for Philly Emerging Technologies for the Enterprise (ETE)–a fantastic developer-focused conference that has run in Philadelphia for fourteen years. While ETE was planned…
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Can AI Reduce Harm to Children?: Gabriel Fernandez and the Case for Machine Learning
Could AI have saved Gabriel Fernandez’s life? Data and social scientists argue that machine learning might have kept him alive. What exactly is this potentially life-saving AI? Learn more about predictive risk modeling, how governments currently use similar AI, and the ethical questions such work raises.
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COVID-19 Cases Over Time with Kepler.gl
This blog post discusses how to quickly visualize data, like that of COVID-19. We are not medical experts and the visualizations have not been peer reviewed. We recommend visiting data sources, like the CDC, for data on COVID-19. Data visualizations have been crucial to communicating the severity of the COVID-19 pandemic. Problems like this benefit…
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Labeling Satellite Imagery for Machine Learning
Definitions and visuals of the most common ways to label satellite imagery for machine learning. Includes tips for managing annotations for each type.
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America’s Cities are Sitting on a Gold Mine of Machine Learning Training Data
Cities may not know it, but by nature of collecting and maintaining various datasets, they are sitting on a treasure trove of machine learning-ready training data.
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The Future of Machine Learning AMA
3 of our machine learning engineers answer your questions about the future of machine learning.
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Building Footprint Comparison in Cambodia: Orbital Insight and OpenStreetMap
We created a map that shows the difference between two building footprint datasets of Cambodia: OSM and Orbital Insights’ AI generated dataset.
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Join the OpenCities AI Challenge and Detect Building Footprints from Aerial Imagery
We partnered with Driven Data and the World Bank to develop the Open Cities AI Challenge. This challenge uses machine learning to extract building footprints in unmapped areas to promote disaster resilience.
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Color Correction in Space and at Sea
A common theme with projects at Element 84 is bridging the gap between data collection and its presentation to end-users. With satellite imagery, there is a pipeline of processing steps used to transform raw data into the imagery we see on our computers, phones and tablets. Basic Color Correction One of the important steps in…
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How to Find the Most Recent Satellite Imagery Anywhere on Earth
Every project with satellite imagery begins with a data source. Here’s a rundown of the best options, considering cost, usability, and resolution.
