/plushcap/analysis/anyscale/-how-ray-and-anyscale-make-it-easy-to-do-massive-scale-machine-learning-on

How Ray and Anyscale Make it Easy to Do Massive-Scale Machine Learning on Aerial Imagery

What's this blog post about?

Richard Decal, Lead ML Engineer at Dendra Systems, is using machine learning to combat climate change by scaling ecosystem-restoring drones globally. Traditional ecological restoration methods are not scalable and often fail in certain terrains. Dendra Systems aims to enable faster, high-quality, transparent, and scalable restoration through the use of ultra-high resolution mapping with drones, machine learning algorithms for analysis, and specialized seeding drones. Their approach is 11 times faster and three times cheaper than traditional methods. Ray ecosystem and Anyscale platform have been instrumental in building their machine learning platform capable of handling large image datasets. The technology allows them to offer a suite of ecosystem analytics services such as biodiversity assessments, weed management, pest management, erosion and soil health monitoring, and more at a massive scale.

Company
Anyscale

Date published
Nov. 8, 2022

Author(s)
Richard Decal

Word count
1563

Language
English

Hacker News points
None found.


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