AI has become a norm

AI has become a norm nowadays in modern-day life. It is becoming more and more common as companies integrate it into their software. People are also using software to ease their work or fasten their production, which is a great thing. AI is becoming so useful in every facet and industry, such as medicine, business, education, and much more, that the applications of AI are nearly limitless.

From what we can understand as of now. Nonetheless, before we start let’s try to understand what artificial intelligence is and how it came about

The inception of AI

The inception of AI, or at least the thought, was by Alan Turing and his first published essay on computer machinery and intelligence. He proposed a test of machine intelligence called the imitation game. This provided a theoretical way to distinguish between AI and humans by asking whether a machine can think or not. The imitation game allowed us to differentiate between humans and AI machines.

Winning probabilities of a game.

Arthur Samuels developed a checker-playing program that could learn independently and determine the winning probabilities of a game. This could be said to be one of the first AI programs for a game.

Term “artificial intelligence”

And finally, in 1955, McCarthy coined the term “artificial intelligence” during a workshop at Dartmouth College, which is said to be the birthplace of AI. This term was established, and the majority of people there contributed to the progression of AI.

Now that we are firmly aware of its history, however, this was only a summary of the history of AI. AI is quite a rich and vital mixture of math and different areas of computer science. But after listening to this small history or summary of AI, what is AI actually?

Independently or be trained

The term “artificial intelligence” does not mean anything exactly; it is an umbrella term for software that can learn independently or be trained to do specific tasks. Under this umbrella term of artificial intelligence, there is machine learning. Machine learning and artificial intelligence are often intermixed; however, artificial intelligence is the broader category in which machine learning is used.

Predict climate changes

Now back to the main topic of interest: the new AI that will help us protect and predict climate changes in East Africa and other places as well.

The approach they have pioneered was done at the Oxford University physics department, and they have delivered AI models trained in an AI-based approach to weather forecasting. These AI models can build more local and accurate models, offering high-resolution predictions of extreme weather events such as floods quickly and very accurately.

Huge disasters

Disk scan not only helps prevent huge disasters, Although it can also assist lower-income countries. For them, accessing observational data is not affordable. This technology is mainly developed for countries like East Africa, where floods and droughts are common occurrences. It can help predict and mitigate such events.

Understanding of physical atmospheric processes

With the collaboration of ECMWF (European Centre for Medium-Range Weather Forecasts), which shares a common understanding of physical atmospheric processes and utilizes the latest machine learning technologies, they can supply state-of-the-art weather models. These models provide more accurate and localized predictions, enabling countries and regions to better anticipate floods.

 Early warnings are usually the best

This can lead to Massive help in countries that may not be able to afford supercomputers and have constant data to do so. This will help countries predict and prepare for such events. Early warnings are usually the best way to avoid collateral damage and loss of life during floods and droughts, which can be a huge game changer.

Industries Department Risk Disaster Risk Management. This will not only lower the costs of helping people out and fixing the damages but also save countless lives throughout its usage.(New AI-led Science Initiative Will Help Protect Communities Hit By, 2024)

Opportunity to scale cutting-edge technology.

The Eastern Africa Regional Centre for Climate Prediction and Application (ICPAC) enhances the capacity of its member states in the region and offers the opportunity to scale cutting-edge technology.

Meanwhile, meteorological agencies, including the Kenya Meteorological Department and the Ethiopia Meteorological Institute, are both partners in this new initiative, which will ensure that this technology is tailored to the specific needs of their communities.

Initiative in East Africa

The success of this initiative in East Africa will set the precedent for broader application and vision beyond this region. The aim is to replicate this model in parts of the world that are currently unable to do so. This will help not only Africa but also every country and region throughout the world. It will be saving resources, saving lives, and best of all, it will be highly accurate. This initiative was made possible by Google, the World Food Programme USA, and WFP efforts.