#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.
-
Humans use our eyes to understand the world around us. Artificial vision is a scientific discipline that aims to enable computers to achieve the same capacity, i.e. it tries to ensure that machines can perceive and understand one or more images and act in a certain way. Below, we review some of its applications.
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.
-
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.
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.
The application of big data to curb global warming and protect the environment is known as green data. This technology can help optimise the efficiency of the energy sector, make businesses more sustainable and create smart cities, among others.
