Environment

In 2019, the world emitted approximately 36.44 billion metric tons of carbon dioxide. AI can accelerate global efforts to protect the environment. The applications of AI to foster efforts to save carbon emissions are varied: CO2 removal, helping develop greener transportation networks, monitoring deforestation, predicting extreme weather conditions, and monitor pollution levels. While AI is now producing actual environmental impacts throughout the world, organizations could do more. TADA is a great, simple to use, tool to achieve this.
AI in environment

Climate modification is an essential concern. In 2020, ocean surface temperatures were about 0.76 degrees Celsius hotter than the 20th-century mean. Oceans absorb over 90 percent of the Earth's extra heat due to global warming. And this increase in temperatures causes the sea ice to melt. In 1995, the December sea ice area in Northern Hemisphere was approximately 13.1 million square kilometers. By 2020, the sea ice surface in December had diminished to 11.77 million square kilometers. AI is using the power of machine learning to finding patterns in data that can help spot trends and control global warming.

Predicting Pollution Peaks

According to Thomas Reuters, people who live in places with high air pollutants have a 20% larger risk of dying from lung cancer than those living in less polluted areas. ...

Predict the Load Required to Heat a Building

MyDataModels Europe spends 50% of its energy for heating and cooling purposes. Most of it in Europe is produced by...