This week, California leaders are meeting with artificial intelligence experts to explore ways AI can be used in disaster response. The California Science and Technology Council is hosting a series of learning sessions bringing together policymakers, first responders, philanthropic leaders, and AI developers. CCST said the goal of this week’s conference is to find practical uses for AI in planning for and responding to events such as floods and wildfires. “We’re seeing the conversation go from defining what data we already have that can be used in different ways to what we’re not thinking about.” Interim CEO of CCST CEO Sarah Brady said: Dave Korsmeyer was one of several experts who spoke on Monday’s panel discussion. Korsmeyer is the deputy director of NASA Ames’ Center for Research and Technology in Mountain View. During his time at NASA, Korsmeyer has helped develop practical uses of artificial intelligence. “There are a lot of different opportunities for how to best use or potentially leverage AI for disaster response and disaster resilience,” Korsmeyer said. “It’s really exciting to look at what’s going on in our climate, in our waterways, in our atmosphere, and frankly, to look at all of that data and understand how it’s so tightly integrated and connected. It’s difficult.’ That difficulty is a problem that AI can solve. , powerful computers allow him to take huge datasets like NASA’s and develop models that can find relationships and make predictions. Those models are “artificial intelligence.” Last weekend’s storms provided the backdrop for some of the discussion at this week’s learning session at California Natural Resources: “Why are we saying, ‘Where are all the roads that are actually low and can collect water? I don’t think there’s a smart AI model out there that says, ‘And where have we gone wrong in the past?” Korsmeyer said, referring to heavy rains in the Bay Area and Southern California on Sunday and Monday. I asked. Preparedness for wildfires was also a major topic of discussion. Satellite data could be used to provide insight into where vegetation is located. “The risk of rapidly spreading fires could increase,” Korsmeyer said. “Baseline technology exists for building those kinds of models. The challenge is to protect privacy and maintain public trust.” It’s about building that tool in a way that sustains it.” It’s a very powerful tool, or some people do really great things with it. I think we’re in the early stages of figuring out how to make the most of what we’ve discovered,” Korsmeyer said. Learn more about California’s top stories | Download the app.
This week, California leaders are meeting with artificial intelligence experts to explore ways AI can be used in disaster response.
The California Science and Technology Council is hosting a series of learning sessions bringing together policymakers, first responders, philanthropic leaders, and AI developers.
CCST said the goal of this week’s conference is to find practical uses for AI in planning for and responding to events such as floods and wildfires.
“We’re seeing the conversation go from defining what data we already have that can be used in different ways to what we’re not thinking about.” Interim CEO of CCST (CEO) Sarah Brady said:
Dave Korsmeyer was one of several experts who spoke on a panel Monday. Korsmeyer is the deputy director of NASA Ames’ Center for Research and Technology in Mountain View.
During his time at NASA, Korsmeyer has helped develop practical applications for artificial intelligence.
“There are so many different opportunities for how to best use or potentially leverage AI for disaster response and disaster resilience. It’s very difficult to look at that data and understand how it’s tightly integrated and connected.”
That difficulty is a problem that AI can solve.
With AI, powerful computers take huge data sets like NASA’s and develop models that can find relationships and make predictions. That model is “artificial intelligence.”
Last weekend’s storm provided the backdrop for some of the discussion at a learning session held this week at the California Natural Resources Building.
“Why isn’t there a smart AI model that says, ‘I know where all the roads that are actually low and could collect water’ are? So where have we had problems in the past? ?” Korsmeyer asked, referring to the heavy rains that occurred in the Bay Area and Southern California on Sunday and Monday.
Preparation for wildfires was also a big topic. Using satellite data can provide insight into where vegetation can increase the risk of rapidly spreading fires.
Korsmeyer said baseline technology exists for building such models. The challenge is to build that tool in a way that protects privacy and maintains public trust.
“Some people can do ridiculous things with very powerful tools, and others can do really amazing things with those tools. I think it’s in stages,” Korsmeyer said.
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