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How 5 startups are using AI to save the planet?

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Table of Contents 

  • Foreword
  • Blue Sky Analytics Builds Cloud Platform for Climate Action
  • Rhions Lab saves wildlife with computer vision
  • Seafloor carbon capture and storage predicted by TrueOcean
  • ASTERRA saves water with GPU-accelerated water leak detection
  • Neu.ro Launches AI Cloud Using Renewable Energy

Foreword

Climate change problems such as severe droughts, dangerous floods, loss of biodiversity, and high levels of air pollution are undeniable in many parts of the globe.

These challenges are so serious that no country can solve them on its own. But innovative startups around the world are lighting the way to solutions, demonstrating that AI can better understand and address these tough challenges.

In this article, five companies selected from among more than 10,000 members of NVIDIA Inception (*1) , a program for fostering cutting-edge startups, will use applications accelerated by NVIDIA products. We will introduce how we are working to protect the environment.

(*Translation Note 1) NVIDIA Inception is a startup support program operated by NVIDIA. By joining the program, you can purchase NVIDIA products at preferential prices and have the opportunity to build connections with investors . If you become a premium member, you can also receive customer referrals. Applications to join the program are always being accepted.

Blue Sky Analytics Builds Cloud Platform for Climate Action

India-based Blue Sky Analytics builds a geographic intelligence platform that uses satellite data for environmental monitoring and climate risk assessment. The company provides developers with climate datasets that they use to analyze air quality and estimate greenhouse gas emissions from fires. We are also preparing to provide additional datasets for use in predicting future biomass fires and monitoring meltwater levels in lakes, rivers and glaciers.

We use cloud-based NVIDIA GPUs to power these businesses. The company is also a founding member of Climate TRACE , a global coalition led by (former U.S. Vice President) Al Gore, which aims to provide high-resolution global greenhouse gas emissions data in near real-time. doing. The startup is leading the Climate TRACE effort to examine how fires change land use and land cover.

(*Translation Note 2) According to the Environmental Glossary created by the Institute for Environmental Innovation Information , biomass fire or biomass burning is a general term for fires in forests, grasslands, peat, etc. When a biomass fire occurs, a large amount of carbon dioxide that has been fixed in the ground is emitted , which has a great impact on global warming.
(*Translation Note 3) The official YouTube channel of The Tech Interactive, a science and technology center in San Jose, California, USA, has released a video introducing Blue Sky Analytics, such as the one below.

Rhions Lab saves wildlife with computer vision

Kenya-based Rhions Lab uses AI to tackle biodiversity challenges such as human-wildlife conflicts, poaching and illegal wildlife trade. The company employs NVIDIA Jetson Nano modules for Edge AI (which drives computer vision) to aid conservation projects.

One of the company’s projects, Xoome, is an AI-powered camera trap that identifies wildlife, vehicles and civilians and sends warnings of poaching threats to wildlife officers on duty. Another initiative monitors beekeeper colonies by measuring beehive behavior with various sensors that capture acoustic data, vibration, temperature and humidity. The platform helps beekeepers monitor the health of their bee colonies and protect their hives from threats from thieves such as badgers and humans.

(*Translation Note 4) A honey badger is a mustelidae mammal whose official name is honey badger. It likes to eat bees and bee larvae, so it has a habit of attacking bee nests .

Seafloor carbon capture and storage predicted by TrueOcean

German startup TrueOcean analyzes global maritime data to inform innovations in natural ocean carbon sinks, renewable energy and route optimization. The company uses AI to predict and quantify carbon uptake and storage in seagrass colonies and seafloor geology. This prediction could be used to greatly increase the potential carbon stocks of the Earth’s oceans.

TrueOcean uses AI solutions including federated learning accelerated by NVIDIA DGX A100 systems to help scientists predict, monitor and manage sequestration efforts .

Federated learning is a machine learning development technique that collects learning data from users while preserving privacy . For more information, see the AINOW translation article “Federated Learning – Distributed Machine Learning ”.

ASTERRA saves water with GPU-accelerated water leak detection

Israel-based ASTERRA has developed an AI model that analyzes satellite imagery to answer key questions about water infrastructure. This model implements the insight maintenance workers and engineers need to find faulty water pipes, assess subterranean humidity, and find leaks. The company uses NVIDIA GPUs through Amazon Web Services to develop and run machine learning algorithms.

Since introducing its leak detection solution in 2016, ASTERRA has helped the water industry identify tens of thousands of leaks and save billions of gallons of drinking water each year. Stopping leaks prevents surface pollution, reduces water wastage, and saves electricity. The company estimates that the solution has saved the water industry more than 420,000 megawatt hours of energy use since its launch.

(*Translation Note 6) ASTERRA’s official YouTube channel has released the following animated video explaining the company’s leak detection solution.

Neu.ro Launches AI Cloud Using Renewable Energy

Reducing the carbon footprint of AI model learning also leads to company differentiation.

To solve this challenge, San Francisco-based Inception startup Neu.ro has launched an AI cloud powered by NVIDIA DGX A100, powered entirely by geothermal and hydropower, with free cooling. rice field. Located in Iceland, the data center serves AI applications in telecommunications, retail, finance, healthcare, and more.

We also developed the Green AI suite to help companies monitor the environmental impact of their AI projects. This system allows the developer team to optimize computing usage to balance performance and carbon footprint.

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