How do we use the latest AI achievements to help in the fight against climate change and build a more balanced world with low carbon content
AI is a powerful technology that will transform our future, so how best to use it to help fight climate change and find sustainable solutions?
Our climate manager and sustainable development, Sims Witherspoon, who recently talked about how artificial intelligence can speed up our transition to renewable energy sources at the address Ted Countdownexplains: “Climate change is a multi -faceted problem without a single solution. We must go beyond the discussion What We can do and start focusing How We can do it. “
The effects of climate change to Earth's ecosystems are extremely complex, and as part of our effort to use AI to solve some of the most difficult problems in the world, here are some of the ways in which we work on developing our understanding, optimizing existing systems and accelerating groundbreaking climate science and its effects.
Understand the weather, climate and their effects
A better understanding of basic problems and their effects is the key first step to solve climate change. Working with the MET office in Great Britain, we have developed a rainfall model to better understand the changing weather. This model is now more accurate than the most modern state of art and is very preferred by MET meteorologists. Our climate and weather tests include short -range forecasting (below two hours) to medium range (ten days), which can greatly affect the way we optimize renewable energy systems based on natural resources.
From modeling the behavior of animal species in Serengeti to supporting machine learning projects that develop protection projects in Africa, we help scientists follow and better understand the impact of climate change on ecosystems and biological diversity. Going further, our team is also based on AI habits Identify the song of birds In Australia, it helps the development of tools monitoring changing nature on a large scale.
In addition, we work with a non-profit organization AI climate change To close important gaps in the data related to the climate. Currently, this partnership focuses on building a comprehensive wish list of data sets, the availability of which would expand AI in terms of climate change. After completing, we will provide this wish list for a wider audience.
Optimize existing systems
Although we go to a more balanced infrastructure, we must optimize the systems that the world depends on today. For example, today's computing infrastructure, including AI itself, is energy -saving. To help solve some of these problems, we have developed artificial intelligence that can improve existing systems, including optimization of industrial cooling and More efficient computer systems.
Considering that our energy nets do not yet work on pure energy, it is important that we use our resources as efficiently as possible, while we are working on moving to renewable energy sources. Acceleration of a global transition to renewable energy sources can also significantly reduce carbon dioxide emissions.
In 2019, our climate and sustainable development team cooperated with domain experts in a wind farm belonging to Google to increase the value of wind energy-pretty-reach, aimed at supporting growth in a wider industry. When developing a non -standard AI tool, to better predict the wind output power and a different model to recommend the obligation to provide this expected energy to the electrical network, this tool significantly increased the value of wind energy. Cloud is now developing software using this model, which is piloted by the French energy company Engie.
You will speed up a breakthrough education
In addition to the optimization of our existing infrastructure, we need scientific breakthroughs to help us build a sustainable energy future. One of the specific areas that has a great promise is a nuclear fusion, an extremely powerful technology that can provide unlimited energy without coal. Fusion reactors are powered under the pressure of ionized hydrogen plasma, which is warmer than the core of the sun. Intensive heat means that this plasma can be maintained only by a quickly adapted magnetic field – an extremely difficult engineering challenge.
Mastering magnetic plasma control is the basic part of the challenge to control the nuclear fusion process and the use of abundant green energy that it can provide. So we worked with the Swiss Plasma Center in EPFL to develop an AI system, which learned to effectively predict and control plasma in a nuclear fusion reactor in the style of Tokamak. And not only to contain plasma, but “carving” it in a number of experimental shapes.
Bring us your challenges
To build effective AI solutions, scientists need a solid understanding of the challenges that people around the world are facing. This includes gaining access to data that is representative of problems, a partnership with domain experts to make sure that we are building reliable systems, in accordance with the guidelines regarding regulatory structures and finding the real possibilities of testing these systems. For these reasons, cooperation with affected communities, scientists, industry specialists, regulatory bodies and governments is crucial for our activities for sustainable development.
If you are an expert in the field of an industry domain or a climate scientist with a specific challenge to solution that could help the world understand, alleviate or adapt to climate change, our climate team and sustainable development would like to hear from you.
Contact: contact-gdm-sustailabalaitabity@google.com
