The number of people affected by extreme weather events is increasing.

But as we get closer to the next one, the question is whether AI can improve our ability to detect and predict the risks.

If you’ve ever watched the news, you’ve likely seen the news stories about the threat posed by climate change.

This threat is so dire that it is becoming more likely every day, but we can’t all be prepared.

The good news is that AI can help us predict, detect and mitigate extreme weather.

However, we can only do this if we know what is likely to happen.

This is where AI technology can come in.

One of the key features of AI is that it learns and adapts to change.

AI is not a static machine learning model that simply learns to behave the same way every time.

AI can learn to adapt and be more adaptable in response to changing conditions.

For example, if you are building a self-driving car, it may have a specific goal, such as getting from point A to point B in a certain way.

If that goal is changing, you might need to adjust your approach to get the best result.

However a computer could also learn to do a better job of learning, and then react more quickly.

This could allow you to avoid having to rely on a human driver, but the machine learning technology would still be adapting to the situation.

For more information on how AI can benefit us, read our article on How AI can Improve Our Ability to Predict and Mitigate Extreme Weather.

This article is part of TechRadars series on the future of the internet of things.

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