How WaterScope is using machine learning to end water inequality w/ Sammy Mahdi, PhD

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Sustainable AI

Lily Adelstein

9 episodes

4 days ago

This podcast brings together researchers and industry professionals using machine learning to tackle some of today's biggest challenges - 17 of today's biggest challenges to be exact. In 2015, the United Nations laid out 17 ambitious goals to be achieved by 2030, in this podcast, we'll explore how creative researchers and professionals are using machine learning to tackle these goals.

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How WaterScope is using machine learning to end water inequality w/ Sammy Mahdi, PhD

Sustainable AI

13 minutes 40 seconds

4 years ago

How WaterScope is using machine learning to end water inequality w/ Sammy Mahdi, PhD

In this episode of the podcast, Lily Adelstein and Sammy Mahdi discuss the ways WaterScope is using machine learning to help ensure safe drinking water worldwide.

Sammy Mahdi, PhD, is the lead project engineer at WaterScope UK limited. He works closely with engineers, suppliers and end-users to develop and bring the product to market. He received his Master of Research and his PhD from the University of Cambridge in Sensor Technologies and Applications.

WaterScope's mission is to enable inclusive access to smart, easy-to-use, and reliable testing for bacterial presence in drinking water.

Since its conception in 2015, the team has designed and developed a water testing system specifically for and with end-users. The testing process maintains scientific integrity while remaining low-cost, user-friendly, and effective across various environments.

For more information visit www.waterscope.org or @WaterScope_org