Here’s a great use case for AI and Drones to help with a common environmental problem.
With drone photography, “we can track all of the trash in a creek, river, or stream, examine how it’s distributed, and then apply machine-learning algorithms to analyze those images as often as we want,” Hale says.
Microsoft Research interviews Mark Hamilton to see how MMLSpark is helping to serve business and the environment.
If someone asked you what snow leopards and Vincent Van Gogh have in common, you might think it was the beginning of a joke. It’s not, but if it were, Mark Hamilton, a software engineer in Microsoft’s Cognitive Services group, budding PhD student and frequent Microsoft Research collaborator, would tell you the punchline is machine learning. More specifically, Microsoft Machine Learning for Apache Spark (MMLSpark for short), a powerful yet elastic open source machine learning library that’s finding its way beyond business and into “AI for Good” applications such as the environment and the arts.
Today, Mark talks about his love of mathematics and his desire to solve big, crazy, core knowledge sized problems; tells us all about MMLSpark and how it’s being used by organizations like the Snow Leopard Trust and the Metropolitan Museum of Art; and reveals how the persuasive advice of a really smart big sister helped launch an exciting career in AI research and development.
Clean Water AI is a device that uses a deep learning neural network to detect dangerous bacteria and harmful particles in water. Users can see drinking water at a microscopic level, just like they would view footage from a security camera, with real-time detection and contamination mapping.