Basic App Roundup – EURACTIV.com

Although 2022 sees new temperature records broken, and since 2010, year after year, the thermometer has climbed steadily, the time to act is greater than ever. Each higher degree contributes to a 10-12% increase in lightning, leading to more wildfires, even in the Arctic Circle, which was thought to be protected.

Serge Palarik is vice-president EMEA at NVIDIA, an American company specializing in the design of processors and graphics cards.

From monitoring green spaces to monitoring oceans, many companies are already using AI to help us better understand, monitor and respond to the world we live in. Not to mention a miracle solution, today we identify three areas of AI application to contribute to the fight against global warming: forecasting, monitoring and risk mitigation.

Climate Change Predictions

AI is already capable of predicting weather 100,000 times faster than traditional models. And it can also help us predict the future. Unlike weather forecasting, climate models with AI allow for decades of modeling of the atmosphere, water, ice, land physics, chemistry and biology.

These simulations are configured at 10 to 100 km resolution. These different resolutions require millions or even billions of times more computing power than is currently used, for example to model multi-year variables of the water cycle or to simulate cloud reflection of sunlight and its daily hazards.

However, thanks to recent advances in AI, super-resolution (x million) climate modeling is closer than ever, especially with Earth-2, a digital twin system that can simulate Earth’s climate evolution. The system includes unprecedented computing power, highly developed learning models, and unprecedented data pipelines to predict regional impacts of climate mitigation and adaptation strategies.

Predicting climate extremes decades in advance will provide early warning to adapt and make infrastructure more resilient.

Climate change monitoring and adaptation

AI is advancing incredibly fast. Companies and research groups are already using it to understand, monitor and solve problems related to climate change. Forest fires are responsible for about 6% of the planet’s CO2 emissions. Zurich-based start-up OroraTech is using AI and satellites to build a forest fire detection and monitoring service. Thanks to nano-satellites powered by a compact and ultra-powerful AI computer, OroraTech is able to detect the outbreak of forest fires anywhere in the world and alert emergency intervention teams on the ground, who can act immediately.

Like wildfires, seasonal floods, earthquakes or extreme weather conditions can become deadly. Thwarghatra Data scientists Applied deep learning to 66,000 satellite images to create AI models to predict flood zones Their easily replicable models can be applied to new geographic areas and work by analyzing pixels to identify things like land and water.

In addition to temperature, climate change affects general weather conditions, which affect all living species. So how to reduce the risk?

Climate Change Mitigation

It is important to take action now. Businesses of all sizes around the world are using AI to reduce their greenhouse gas emissions. Of the 8.3 billion tons of virgin plastic produced each year, only 9% is recycled, despite decades of efforts to reduce the amount thrown away. Using visualization through AI, London-based start-up Recycle is increasing the accurate identification of recyclable materials by recyclers. Quality recycled materials are transferred to plastics manufacturers in a circular recycling process and reused for other applications.

Another example is Caltech’s space solar energy project, which completely eliminates CO2-emitting energy. Their technology collects solar energy in space and then transmits it to Earth via microwaves. Since this type of transmission is not affected by weather conditions or sunlight rates, this energy can be permanently available around the world. The National Space Society predicts that space solar power can provide more energy than all other energy sources combined, with very little negative environmental impact.

It is initiatives like this and the association of the best talents from around the world that make it possible to find solutions to fight against global warming.

TWorking together to tackle climate change

In an era of accelerated digitization of all processes, the world is virtualizing, promoting access to knowledge for learning communities. Thanks to this accelerated knowledge sharing, more companies are building AI solutions and collaborating with passionate developers to find solutions to global warming.

AI now goes beyond voice assistants integrated into smartphones or algorithms to recommend TV programs, routes or responses to messages. And more and more teams are already working on one of its best applications: saving the planet

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