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This advertorial is sponsored by Intel®.
“Clean water and health care and school and food and tin roofs and cement floors, all of these things should constitute a set of basics that people must have as birthrights.”1
– Paul Farmer, American Doctor, Anthropologist, Co-Founder,
Partners In Health
Obtaining clean water is a critical problem for much of the world’s population. Testing and confirming a clean water source typically requires expensive test equipment and manual analysis of the results. For regions in the world in which access to clean water is a continuing problem, simpler test methods could dramatically help prevent disease and save lives.
To apply artificial intelligence (AI) techniques to evaluating the purity of water sources, Peter Ma, an Intel® Software Innovator, developed an effective system for identifying bacteria using pattern recognition and machine learning. This offline analysis is accomplished with a digital microscope connected to a laptop computer running the Ubuntu* operating system and the Intel® Movidius™ Neural Compute Stick. After analysis, contamination sites are marked on a map in real time.
Background and History
Peter Ma, a prolific contributor in the Intel® AI Academy program, regularly participates in hackathons and has won awards in a number of them. “I think everything started as a …
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