Another emerging technology that has been instrumental in this shift to cutting-edge construction is artificial intelligence (AI), which is used to optimize architectural design and improve the energy efficiency of buildings.
Smart systems are also integrated into building management for more efficient operation. Within the field of artificial intelligence, the creation of advanced language models, such as GPT-4, has been one of the most significant advances.
These models are capable of understanding and generating text in a coherent and contextually relevant manner, which has had a considerable impact on applications such as natural language processing, content generation, and virtual assistance.
In addition to continued research in areas such as deep learning, allowing machines to learn increasingly complex representations and perform tasks such as image recognition, natural language processing, and more, neural networks and data mining techniques have contributed to continued advances in artificial intelligence, such as advances in computer vision algorithms that have improved in such a way that they allow machines to recognize objects, people, and situations in images and videos.
These advances have made the development of artificial intelligence systems more transparent and ethical, ensuring fairness in their application. It is important to note that artificial intelligence is increasingly used in medical diagnosis, disease prediction, and treatment personalization.
Artificial intelligence models can analyze large sets of medical data to extract patterns and knowledge. Taking into account that great advances in the integration of artificial intelligence in robots have improved their ability to perform complex tasks, from manufacturing to home assistance and medical care.
The significant impact that artificial intelligence has had on the construction and architecture industry has been overwhelming, as some of the future trends include: AI-assisted tools, because they analyze data and patterns to propose innovative solutions, robotics and automated systems because they reduce construction times and associated costs, data collection and analysis, HVAC system designs and lighting control to optimize energy efficiency, and visualization of construction projects.
This AI technology is expected to continue to evolve in the construction sector, with advances in robotics, generative design, and more.
Data-driven predictive analytics can also be crucial to anticipating trends and making informed decisions in the construction industry.
Continuing to talk about emerging technologies, we could not fail to mention Integrated Renewable Energy. In this field there have been several advances in recent years.
Some of the trends and developments include the latest generation of solar panels, which allow them to be more efficient and affordable, with technologies such as thin film solar cells and perovskite solar cells.
Progress has been made in energy storage systems, such as lithium ion batteries and thermal storage systems, which allow for better management of energy generated by intermittent renewable sources.
This type of information and communication technology has been integrated into electrical networks, allowing for more efficient and flexible management of energy and facilitating the incorporation of renewable sources.
Among the advances and impact that renewable energy has had, another of the most important has been the construction of offshore wind farms, which allows for the use of stronger and more constant winds, resulting in an increase in wind power generation capacity.
There is another important aspect to highlight AI in architecture and construction are the type of methodologies and that is the development of more effective methods to capture and store carbon emissions produced by power plants that use fossil fuels.