Tag: ai for good
Appsilon at Hack4Environment Hackathon – Solving Illegal Waste Disposal Problems with Machine Learning
Actions taken and lessons learned at a 24-hour hackathon dealing with fly-tipping problems.
See Appsilon Presentations on Computer Vision and Scaling Shiny at Why R? 2020
Appsilon team members Jędrzej Świeżewski, PhD and Damian Budelewski will be giving presentations at the Why R? Conference on November 12th.
Fast.ai in R: How to Make a Computer Vision Model within an R Environment
In this presentation we present how to make use of the latest technical advancements in computer vision with an R setup even if they are originally implemented in Python.
IIASA Collaboration: An Interactive Map for COVID-19 Public Policy Decisions
Appsilon created a dashboard in collaboration the International Institute for Applied Systems Analysis to deliver information about COVID-19 to policymakers. We implemented the solution with Python and Svelte.
Satellite Image Analysis with fast.ai for Disaster Recovery
In this article, we focus on the technical aspects of the machine learning solution we implemented for the xView2 competition. We used PyTorch to build our models for satellite image analysis and fast.ai to develop their critical parts.
COVID-19 Risk Heat Maps with Location Data, Apache Arrow, Markov Chain Modeling, and R Shiny
Our submission to the Pandemic Response Hackathon (CoronaRank) is inspired by Google’s PageRank and utilizes geolocation data in the Apache Parquet format from Veraset for effective exposure risk assessment using R and Markov Chain modeling.
Data for Good: Fighting COVID-19 with Data Science
This is the first of two blog posts about our recent participation in the Pandemic Response Hackathon. Our project (CoronaRank) was one of only 5 projects out of 230 submissions chosen to present at the closing ceremony.