Marine biometrics are essential to our food supply.
- Researchers are using AI to reduce overfishing in Africa’s Nile Basin.
- This project is part of a larger effort to use AI to improve sustainability in various industries.
- However, one expert says the amount of energy and other resources required to implement AI hardware and software can create problems on its own.
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Artificial intelligence (AI) helps prevent overfishing, protecting the world’s rapidly shrinking supply of edible marine species.
New project uses AI to improve identification and measurement of fish species in Africa’s Nile Basin. The software could help scientists understand fish density faster than human observers. It is part of a larger effort to use AI to improve sustainability in various industries.
Andrew Dunckelman, head of impact and insight for charities at Google.org, said, “The great thing about AI is that it can now use traditional methods to perform time-consuming or incredibly complex tasks much faster and more efficiently.” said. Search giant Lifewire said in an email interview.
something fishy
The Food and Agriculture Organization of the United Nations (FAO) is working to increase access to AI technologies for monitoring fish stocks. Gaining more information about a fish species can help develop algorithms to identify species and locations and detect changes.
The UN estimates that a third of all fish stocks are now overfished and no longer sustainable. To protect fish stocks, University of Florida researchers are using AI to keep fishermen from catching endangered species. AI models help commercial fishermen avoid fishing in their area by estimating the location of endangered species that are being fished.
“AI is not the magic bullet for all our problems,” said Zachary Siders, the scientist who developed the application, in a press release. “We need to keep in mind that the decisions AI systems make have tangible impacts on the livelihoods of fisheries and on irreplaceable fish species.”
AI monitors
When it comes to the environment, AI doesn’t just keep an eye on fish. Climate TRACE, a global greenhouse gas (GHG) monitoring platform in near real time, helps identify where emissions are coming from and where decarbonization efforts should be focused.
There is also Restor.eco, an open data recovery platform hosted on Google Earth. It provides scientific data and high-resolution satellite imagery to enable researchers to analyze the restoration potential of any site on Earth. Basically, the program maps the land so that it can predict where trees can naturally grow.
Dunckelman says Google has found that programs that use AI achieve their goals faster. He cited the case of BlueConduit, an organization that emerged from the water crisis in Flint, Michigan. The group built a machine learning platform that uses data about the age of houses, neighbors, and known lead pipes to predict whether a house has lead pipes.
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“In the past, the only way to dig up was physically. [at] Check out lead pipes, which are expensive and time consuming,” said Dunckelman. “By adopting machine learning, BlueConduit can now predict more quickly and accurately whether homes have lead plumbing, which can drive policy decisions that have a significant impact on both public health and government resources.”
However, not everyone agrees that large corporations can inevitably use AI to solve the planet’s problems. A recent study raises concerns about the amount of energy and other resources needed to implement AI hardware and software, says Eric Nost, an assistant professor at the University of Guelph who studies the impact of data technologies on environmental policy.
“I think many researchers will find it difficult to translate AI-powered insights into real-world policies or decisions if AI was not designed with policy makers and decision makers in mind, especially considering the difficulty of explaining how AI was discovered. when,” he told Lifewire in an email interview.
“AI is not the silver bullet for all our problems.”
AI for sustainability is still in its infancy, Dunckelman acknowledges. The field still lacks sufficient data sets and models to drive progress.
“For example, we all know there are exhaust gases in the world, but we don’t really know where they are coming from,” Dunckelman adds. “All we have is broadcasters saying they are doing it themselves, and that is incomplete.”
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Researchers Turn to AI to Protect Sea Creatures
Measuring marine life is critical for food supplies
Researchers are using AI to reduce overfishing in Africa’s Nile Basin.
The project is part of a larger effort to harness AI to improve sustainability across a wide range of industries.
But one expert says the amount of energy and other resources required to implement AI hardware and software could raise its own problems.
Thomas Barwick / Getty Images
Artificial intelligence (AI) is helping prevent overfishing in a bid to protect the world’s rapidly dwindling supply of edible marine species.
A new project uses AI to improve the identification and measurement of fish species in Africa’s Nile Basin. The software can help scientists understand fish population density more quickly than human observers. It’s part of a larger effort to harness AI to improve sustainability across a wide range of industries.
“The promising thing about AI is that it now allows us to do tasks that would be time-consuming or impossibly complex using traditional methods, with considerably more speed and efficiency,” Andrew Dunckelman, head of impact and insights at Google.org, the search giant’s charitable arm, told Lifewire in an email interview.
Something Fishy
The UN’s Food and Agriculture Organization is working to improve access to the AI technology that monitors fish stocks. Getting more information about fish species could help build algorithms to identify species and their locations and recognize any changes.
The UN estimates one-third of all fish stocks are now overfished and are no longer sustainable. To help keep fish stocks safe, University of Florida researchers are also using AI to make sure fishermen aren’t catching endangered species. The AI models estimate the locations of endangered species where fisheries operate, which helps commercial fishers avoid fishing in those areas.
“AI is not a silver bullet to all of our problems,” Zachary Siders, the scientist who developed the application, said in the news release. “We have to keep in the front of our minds that the decisions we allow an AI system to make have real consequences for livelihoods of the fishing industry as well as irreplaceable species.”
AI Keeps Watch
It’s not just fish that AI is keeping an eye on when it comes to the environment. Climate TRACE, the world’s near-real-time greenhouse gas (GHG) monitoring platform, is helping identify where emissions are coming from and pinpointing where decarbonization efforts should be focused.
There’s also Restor.eco, an open data restoration platform hosted on Google Earth. It provides scientific data and high-resolution satellite imagery to allow researchers to analyze the restoration potential of any place on Earth. Essentially, the program can map out land to predict where trees can naturally grow.
Dunckelman said that Google has found that programs achieve their goals faster with AI. He noted the case of BlueConduit, an organization that emerged out of the Flint, Michigan, water crisis. The group built a machine learning platform that uses data about the age of homes, neighborhoods, and known lead service lines to predict whether a home is serviced with lead pipes.
BlueConduit
“In the past, the only way to know this would be to physically dig [at] each site and inspect for lead pipes, which is costly and time-consuming,” Dunckelman said. “Through the introduction of machine learning, BlueConduit can now quickly predict with greater accuracy whether a home is serviced with lead lines, which can drive policy decisions that have a substantial impact on both public health and government resources.”
But not everyone agrees that big tech companies can necessarily solve the planet’s problems through AI. Eric Nost, an assistant professor at the University of Guelph who researches how data technologies inform environmental governance, said recent studies have raised concerns about the amount of energy and other resources required to implement AI hardware and software.
“I suspect many researchers will find it hard to translate AI-based findings into actual policy or decisions if that AI hasn’t been developed with policy and decision-makers in mind, especially in light of the challenges to explaining how an AI arrives at its results,” he told Lifewire in an email interview.
“AI is not a silver bullet to all of our problems.”
AI for sustainability is still in its infancy, too, Dunckelman acknowledged. The field still lacks sufficient data sets and models needed to drive progress.
“For example, we all know there are emissions happening in the world, but we don’t really know where they come from,” Dunckelman added. “All we have is what the emitters themselves say they’re doing, which is imperfect.”
#Researchers #Turn #Protect #Sea #Creatures
Researchers Turn to AI to Protect Sea Creatures
Measuring marine life is critical for food supplies
Researchers are using AI to reduce overfishing in Africa’s Nile Basin.
The project is part of a larger effort to harness AI to improve sustainability across a wide range of industries.
But one expert says the amount of energy and other resources required to implement AI hardware and software could raise its own problems.
Thomas Barwick / Getty Images
Artificial intelligence (AI) is helping prevent overfishing in a bid to protect the world’s rapidly dwindling supply of edible marine species.
A new project uses AI to improve the identification and measurement of fish species in Africa’s Nile Basin. The software can help scientists understand fish population density more quickly than human observers. It’s part of a larger effort to harness AI to improve sustainability across a wide range of industries.
“The promising thing about AI is that it now allows us to do tasks that would be time-consuming or impossibly complex using traditional methods, with considerably more speed and efficiency,” Andrew Dunckelman, head of impact and insights at Google.org, the search giant’s charitable arm, told Lifewire in an email interview.
Something Fishy
The UN’s Food and Agriculture Organization is working to improve access to the AI technology that monitors fish stocks. Getting more information about fish species could help build algorithms to identify species and their locations and recognize any changes.
The UN estimates one-third of all fish stocks are now overfished and are no longer sustainable. To help keep fish stocks safe, University of Florida researchers are also using AI to make sure fishermen aren’t catching endangered species. The AI models estimate the locations of endangered species where fisheries operate, which helps commercial fishers avoid fishing in those areas.
“AI is not a silver bullet to all of our problems,” Zachary Siders, the scientist who developed the application, said in the news release. “We have to keep in the front of our minds that the decisions we allow an AI system to make have real consequences for livelihoods of the fishing industry as well as irreplaceable species.”
AI Keeps Watch
It’s not just fish that AI is keeping an eye on when it comes to the environment. Climate TRACE, the world’s near-real-time greenhouse gas (GHG) monitoring platform, is helping identify where emissions are coming from and pinpointing where decarbonization efforts should be focused.
There’s also Restor.eco, an open data restoration platform hosted on Google Earth. It provides scientific data and high-resolution satellite imagery to allow researchers to analyze the restoration potential of any place on Earth. Essentially, the program can map out land to predict where trees can naturally grow.
Dunckelman said that Google has found that programs achieve their goals faster with AI. He noted the case of BlueConduit, an organization that emerged out of the Flint, Michigan, water crisis. The group built a machine learning platform that uses data about the age of homes, neighborhoods, and known lead service lines to predict whether a home is serviced with lead pipes.
BlueConduit
“In the past, the only way to know this would be to physically dig [at] each site and inspect for lead pipes, which is costly and time-consuming,” Dunckelman said. “Through the introduction of machine learning, BlueConduit can now quickly predict with greater accuracy whether a home is serviced with lead lines, which can drive policy decisions that have a substantial impact on both public health and government resources.”
But not everyone agrees that big tech companies can necessarily solve the planet’s problems through AI. Eric Nost, an assistant professor at the University of Guelph who researches how data technologies inform environmental governance, said recent studies have raised concerns about the amount of energy and other resources required to implement AI hardware and software.
“I suspect many researchers will find it hard to translate AI-based findings into actual policy or decisions if that AI hasn’t been developed with policy and decision-makers in mind, especially in light of the challenges to explaining how an AI arrives at its results,” he told Lifewire in an email interview.
“AI is not a silver bullet to all of our problems.”
AI for sustainability is still in its infancy, too, Dunckelman acknowledged. The field still lacks sufficient data sets and models needed to drive progress.
“For example, we all know there are emissions happening in the world, but we don’t really know where they come from,” Dunckelman added. “All we have is what the emitters themselves say they’re doing, which is imperfect.”
#Researchers #Turn #Protect #Sea #Creatures
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