Artificial intelligence (AI) is revolutionizing many aspects of our lives, including the way we protect and care for our planet. Below, we explore some ways AI is helping to protect our environment and combat climate change.
Analyzing data to identify patterns and trends
One of the most important ways AI is helping to protect the environment is through data analytics. AI can analyze large sets of environment-related data, such as information on climate change or pollution, to identify patterns and trends that may be difficult to detect with the naked eye.
One example of how artificial intelligence (AI) can help detect patterns in air pollution that may be related to human activity is through the use of air monitoring sensors and technology. These sensors can be installed in different locations, such as cities or industries, and collect data on air quality, such as levels of carbon dioxide, ozone, or particulate pollutants.
AI models can analyze this data and detect patterns in air pollution that may be related to human activity, such as traffic or industry. For example, if an increase in carbon dioxide levels is observed in a city during peak hours, it is possible that this is related to vehicular traffic. On the other hand, if an increase in particulate pollutant levels is observed in an area near an industry, it is possible that this is related to the activity of this industry.
The information collected by these sensors and analyzed by AI models can be used by authorities and companies to take measures to reduce air pollution and protect air quality.
For example, measures such as reducing vehicular traffic during peak hours or improving production practices in industries to reduce air pollution can be implemented.
Climate and weather forecasting
Another way in which AI is enabling humans to protect the environment is through weather and climate prediction. AI models can analyze large-scale weather data to predict weather more accurately and anticipate extreme weather events, such as cyclones or droughts.
This information can be used by authorities to take preventive measures and protect people and communities from the negative effects of these events. In addition, long-term climate prediction can also help businesses and governments make decisions on how to adapt to climate change and reduce its impact on the environment.
IBM claims to have higher memory bandwidth for GPUs in its AC922 server than its competing systems (Credit: IBM).
One example is IBM’s weather forecasting system, known as IBM GRAF (Global High-Resolution Atmospheric Forecasting). This system uses machine learning and data analytics techniques to analyze large-scale weather data sets and predict weather more accurately on a global scale.
The IBM GRAF system is capable of predicting extreme weather events, such as cyclones or droughts, more accurately than traditional weather forecasting models. In addition, the system is also capable of predicting weather at the local level with greater accuracy than traditional models.
Biodiversity monitoring and conservation
AI is also being used to monitor and conserve biodiversity around the world. For example, AI systems can be used to monitor the population of animals and plants in different areas and detect any changes in their levels or distribution.
This information can be used to take measures to protect endangered species and ensure that animal and plant populations remain healthy and stable. In addition, AI can also be used to analyze satellite images and detect changes in land use, such as deforestation or the expansion of cities, which can have a negative impact on biodiversity.
One example of this is the Wildlife Insights project, an initiative led by the Wildlife Conservation Society (WCS) and Microsoft. This project uses machine learning techniques and data analysis to monitor animal and plant populations around the world and detect any changes in their levels or distribution.
AI models are trained to recognize and count the different species present in the images and detect any changes in their levels or distribution.
To carry out this project, monitoring cameras are installed in different areas and a large number of images of animals and plants are collected. The information gathered by the Wildlife Insights project is used by authorities and conservationists to take measures to protect endangered species and ensure that animal and plant populations remain healthy and stable. In addition, the project is also used to analyze the impact of human activity on biodiversity and take measures to protect the environment. Take a look at the data from one of the project’s cameras located at the Doñana Biological Station.
See firsthand how this trained AI works to identify different animal species:
In essence, AI is helping to protect and conserve the environment and combat climate change. Through data analysis and climate prediction, AI is helping to identify problems and take action to protect our planet. In addition, AI is also being used to monitor and conserve biodiversity around the world. In the future, we expect to see AI play an even greater role in protecting the environment and combating climate change.
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