From rapidly identifying mosquito species to solving the world’s most pressing problems, machine learning algorithms will play an important role in building a sustainable future.
At least, that’s how Microsoft’s Chief Environmental Officer Lucas Joppa sees it.
Joppa spent an hour last week (Nov. 4) speaking to an online gathering of Yale School of Public Health students and faculty members about machine learning’s potential — especially when it comes to tracking diseases. In fact, he said, self-training computer programs can even help fill major gaps in our understanding of environmental systems large and small.
"When it comes to the natural world, we know a lot about a little and a little about a lot. That’s pretty clear,” he said. “There’s a big opportunity, I think, for the technology sector.”
And it’s already happening. Joppa heads Microsoft’s AI for Earth program, a five year, multi-million-dollar initiative dedicated to using artificial intelligence for the global good.
His program also has significant impacts for public health, he said.
Joppa took his audience through an early project that the initiative funded. Scientists wanted to learn more about the viruses circling throughout an ecosystem by capturing and analyzing the blood found in the abdomens of hungry mosquitoes. They set up smart traps that were able to identify the species of mosquito within milliseconds thanks to machine learning. Later, the team could pick out the viruses’ genetic code with surprising accuracy.
These kinds of projects, Joppa explained, “really change the way that we peer into these natural worlds.”
“We’re going to have to understand [them] much better if we are going to be able to put — and then keep healthy — 10 billion people on planet Earth,” he added.