Global AI and Data Science

People are getting a much keener interest in the level of pollution near their house and where they breathe. Millions of people are negatively affected by air pollution globally. Air pollution and weather change transcend general borders and the only way to react to these global difficulties is with global solutions.

We require to find new resolutions and new methods of doing things so that the world is sustainable, and indeed that links through to our planning method. AI is a functional way to handle and decrease air pollution. AI can accumulate sensor and satellite information and help researchers in climate model blending. 

Following are some of the applications of AI for cleaner air:

• AI has the capability of increasing collection and qualitative measurement information. AI can accurately find models in data sets for better interpretation.
• Artificial Intelligence and IoT can present instruments to monitor air pollution in real-time. AI technology can identify sources of air pollution immediately and accurately. For instance, the source of a gas leak in an industry can be classified using smart sensors and corrective measures can be implemented effectively. 
• Artificial Intelligence can predict the air condition in the future and leads respective agencies to take specific actions previously.
• AI can provide actionable support insights for sensors and other devices used.
• Government companies and commercial enterprises can benefit hugely from Artificial Intelligence technologies to monitor air purity levels and alert workers if air quality falls below a specific level.
• Artificial Intelligence can help reduce air pollution in the car zone. Artificial Intelligence technologies enable independent cars to be fuel-efficient. AI-powered traffic lights can also contribute to minimizing air pollution. We can use computer vision to adjust to the flow of traffic, reducing the driving time. 

Use Examples of Artificial Intelligence for clean air:

• IBM researchers work with the Beijing government to stop air pollution and monitor environmental well-being using AI. Researchers are leveraging ML and cognitive techniques to improve the quality of predictions. Artificil Intelligence can help anticipate the level of air pollution 10 days in progress. Investigators are integrating Artificial Intelligence technologies to do summary analysis and take necessary actions such as traffic control, plant shutdowns, and more.
• Scientists at Loughborough University in the UK have produced an AI-based model that foretells air quality ahead of time. The model interprets sensor data and helps policymakers understand the causes and ways to reduce air pollution.

• Breeze Technologies is a startup located in Hamburg that develops AI-based air quality sensors. The company helps in understanding air quality, highlights factors influencing air quality, and provides measures of improvements using machine learning. Breeze technologies have collaborated with Microsoft to explore new ways of applying AI to mitigate air pollution.

• Olansi Air Purifier startup that uses AI-based technologies to offer air filtration for homes and buildings. The company practices Artificial Intelligence and IoT to provide actionable insights on indoor and outside building air condition, deliver cleaner air, and save energy. 

• GSMA, a London-based firm, utilizes mobile, IoT and ML to address rising air pollution difficulties. They are taking the assistance of the mobile business and advanced machine learning methods to gather data and finding models in data.

To Conclude

Air condition is an important issue now. With further improvements in the technology, IoT and Artificial Intelligence can be utilized to reduce harmful discharges released in our surroundings in the first section. Artificial Intelligence technology helps in determining the source of pollution. AI can be used to maximum power to save our planet by minimizing the influence of climate change.