This book explores the exciting intersection of machine learning and differential equations (DEs), presenting modern techniques to solve one of the most fundamental mathematical challenges. DEs govern the laws of nature, appearing in contexts as diverse as Einstein's
general relativity, human behavior, and financial markets. Despite their ubiquity, no general analytical method exists to solve them, making
numerical computation the only viable approach.
Over the past decade, advances in neural networks have opened a new approach: Physics-Informed Neural Networks (PINNs). These models transform DEs into trainable neural architectures, enabling solutions with remarkable flexibility and efficiency. Drawing on over ten years of lectures at Harvard University, the authors provide a comprehensive introduction to PINNs, covering the theoretical foundations, algorithmic constructions, and practical techniques needed to implement them.
Readers will gain a thorough understanding of differential equations, numerical methods, neural network architectures, boundary and initial value problems, optimization and sampling methods, and transfer learning strategies. Whether you are a student, researcher, or practitioner, this book equips you with the knowledge and tools to explore and contribute to this rapidly growing field at the cutting edge of science and technology.
A new book compiles my articles on robotization, machine learning, big data and society (now in English). You can get the epub at amazon ($0.99) here or also can get free versions from this link.
The Covid-19 pandemic has changed much of our vision of the world. It has brought about transformations which demand for new worldviews. This book is a compilation of 40 articles published during the period 2019-21. They are grouped in six thematic sections which have experienced deeps impacts produced by the pandemic in our daily life: (1) Fighting the Maligned Covid-19; (2) Digitalization, Artificial Intelligence, Robotization; (3) Life-styles, Bureaucracy and the Online World; (4) Technological Lords and Industry 4.0; (5) Individual Agency and Social Life; and (6) Recovery and Global Readaptation in a Climate of Uncertainty. The authors have been very keen to ponder how the ongoing robotization is changing our societies, and how our robotized democracies can promote a fairer and equal society. Some particular cases and instances relate to situations in Spain, the EU and the Western Hemisphere. In the main, our analyses cut-cross global areas of examination and inquiry. The overall purpose of this book is to encourage readers to think about life changes and to stimulate their assessment of the processes affecting the pandemic world and the prospects for its indeterminate future.
My book on the impact of robotization, artificial intelligence, big data and our society is now out in the press. Get it in Spanish here ; English here and in Italian here.
Having overcome the worst effects of the Great Recession unleashed in 2007-08, our democracies remain in a critical juncture. The context of analysis of this book is the Western Hemisphere but the implications of the ongoing change of era affect the global order. Above any other consideration, robotization implies long-term structural changes with far reaching consequences for democracy. This fourth technological revolution (Industry 4.0) has strengthened the autonomy of corporations and has empowered technostructure. Automation and the extensive use of internet are intensifying the progressive applications of the artificial intelligence (AI) and are set to further encourage productive maximization. Eventually, these ongoing processes will make superfluous many of the existing jobs. Shall we live a democratic future as we have known it until now? Will it be different because of the technological changes under way? What repercussions will they have for human relations? This essay book describes in detail the applications of robotization and IA, which will influence developments of neo-feudalism in the US and the implementation of citizenship income in the case of the EU.