#Artificial Intelligence
Artificial Intelligence (AI) is a branch of computer science that enables machines to learn to perform autonomous tasks and make decisions. In renewable energy, AI optimises the use of resources such as wind and sun, adjusting systems in real time to maximise efficiency, reduce waste and ensure constant and sustainable supply.
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Predictive analytics uses statistical modelling techniques, big data and machine learning to extract historical data and make predictions. In the business world, it is a highly valued technique because of the benefits it can bring in terms of identifying risks and opportunities, for example. Its application ranges from e-commerce to energy, finance and insurance, among others.
On 10 September 2024, a Space X rocket took off from Florida, in the US, carrying billionaire Jared Isaacman into space. A few years earlier, on 20 July 2021, Jeff Bezos, founder and CEO of Amazon, took off into space on board the New Shepard. Just days earlier, Richard Branson, founder of Virgin Group, achieved the milestone that is paving the way for space tourism, albeit only for multimillionaires. Let's travel into the past to learn about history's earliest examples of space tourism, and then look to the future to glimpse what might be on the horizon for this booming industry.
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Just as in your life you have an identity that defines you and differentiates you from others according to your name, traits, personal characteristics, acts... On the Internet you also have what is known as digital identity.
Deep learning, which is based on a set of algorithms related to machine learning and whose real-world applications are increasingly tangible (prediction of business results, evolution of virtual assistants, analysis of medical images, etc.), has attracted the attention of companies for its ability to get the most out of artificial intelligence.
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Natural language processing (NLP) brings together two disciplines as apparently distant as linguistics and artificial intelligence. Today, this field of computer science, which consists of transforming natural language into a formal language — such as programming — that computers can process, is constantly evolving and its applications are growing.
Self-driving cars, assistants that translate instantly from one language to another or personalized purchase suggestions. Complex tasks that used to be a fantasy are now possible thanks to Machine Learning, a discipline that allows computers to learn by themselves and perform tasks autonomously without the need to be programmed.
