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From MinuteEarth: Can AI Help Us Identify Animals?
New technology has revolutionized how we study wild animals, but it has also bogged down scientists with data…luckily, there’s an *intelligent* solution. About 250,000 views.
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From Google: Connecterra; – Using AI to Give Nature A Voice
Meet Connecterra, a start-up using machine learning to help dairy farmers keep their cows healthy and make their farms more efficient. Over 1,600,000 views.
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From Google: Wildlife Insights – Saving Biodiversity With Tech and AI
Biodiversity is in crisis. A recent UN report predicts we may see as many as 1 million species extinct, many as soon as within the decade. AI helps reduce the arduous manual work of sifting through millions of camera trap images and helps biologists spend more time actually working to study and protect wildlife. About 250,00 views.
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From the International Telecommunications Union: Afriscout – The Shepherd’s Eye in the Sky
A mobile app developed in Kenya to help pastoralists to locate forageable land and water, enabling them to feed and water their animals,
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From Microsoft: OceanMind is Using Microsoft AI to Fight Illegal Fishing
The biodiversity of the ocean is threatened by illegal fishing. OceanMind is an example about how AI to empower governments and NGOs to fight illegal fishing and enable suppliers to source sustainable seafood around the world. Over 12,000 views.
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From ABB: How AI Can Help Feed the World Sustainably
Through an AI for salmon analytics, salmon is produced in a safer and more environmentally responsible way. More than 10,000 views.
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From MIT Mechanical Engineering: Using AI to Explore Oceans
Oceans makeup 70% of the Earth’s surface, yet we know very little about them. This is how AI helps us learn about them. Over 10,000 views.
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From the International Telecommunications Union: Protect Our Oceans with AI for Good
90% of the world’s habitats are in our oceans – in one minute, how can AI make a difference?
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From Context: Tackling Climate Change With Machine Learning (Part 4)
Farms and forest or world wide land use is responsible for about one quarter of greenhouse gas emissions. AI can reduce the carbon foot print by precision agriculture, predicting droughts, predict where forest fires are spreading, catching illegal loggers and estimating the risk of fire and amount of peat in peatlands.
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From Code Centric: Tackling Climate Change with Machine Learning (Part 3)
Building and cities is responsible for about one quarter of all greenhouse emissions. AI could reduce the carbon footprint of hot water and cooling systems, energy impact of cities and smart city projects.
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