Mobile application development has evolved at a dizzying pace over the last decade. Companies and developers are no longer only faced with the challenge of creating functional and attractive applications, but also with the need to reach users from all walks of life.

The rise of Big Data has transformed the way companies and organisations analyse information. Massive amounts of data are generated every day which, if processed and analysed correctly, can become an invaluable source of knowledge and insight.

Fine-tuning has become one of the most effective strategies in deep learning for optimising pre-trained models and adapting them to specific tasks. Instead of training neural networks from scratch, this technique takes advantage of models already trained on large sets of

Fine-Tuning is an advanced technique in Machine Learning that allows pre-trained models to be adapted to specific tasks. Instead of training a model from scratch, which requires large volumes of data and computational power, Fine-Tuning reuses previous knowledge and

The growth of cloud computing has transformed the way businesses and developers build, deploy and manage applications and services. In this context, Microsoft Azure has established itself as one of the most powerful and comprehensive cloud platforms.

Technological progress has brought countless benefits, but it has also increased the consumption of natural resources and energy. The software industry is no exception: data centres, information processing and electronic devices all generate a carbon footprint

Digital transformation is advancing at a dizzying pace, redefining the business and government landscape through artificial intelligence. ASLAN2025 is positioned as the essential forum to learn how new technologies are driving cybersecurity, automation, data management and

Natural language processing (NLP) has undergone a radical transformation with the advent of pre-trained models based on deep neural networks. Among these, BERT (Bidirectional Encoder Representations from Transformers) has been one of the most influential advances, enabling machines to understand