Preface

Artificial Intelligence (AI) is widely known as a knowledge field that aims to make computers, robots, or products that mimic the way humans think. In the current scientific community, AI is an intensively studied area composed of multiple branches. Historically, machine learning and optimization are two of the most studied fronts thanks to the development of novel and challenging research topics such as transfer optimization, swarm robotics, and drift detection and adaptation to evolving conditions in real-time. In addition, the emergence of new paradigms such as deep learning and explainable AI has kept this field as one of the principal cornerstones of computer science. This book collects radically new theoretical insights, reporting recent developments and evincing innovative applications regarding AI methods in all fields of knowledge. It also presents works focused on new paradigms and novel branches of AI science. This volume is a great resource for researchers, lecturers, and practitioners interested in AI and its potential applications.

**II**

**Chapter 9 127**

Quest for I (Intelligence) in AI (Artificial Intelligence): A Non-Elusive

Attempt

*by Kumar S. Ray*

**Eneko Osaba, Esther Villar, Jesús L. Lobo and Ibai Laña** TECNALIA, Basque Research and Technology Alliance (BRTA), Derio, Bizkaia, Spain

**Chapter 1**

Applications

**1. Introduction**

or the financial sector.

applications or advanced manufacturing [2].

**2. Main areas of artificial intelligence**

Optimization the ones that stand out.

**1**

Introductory Chapter: Artificial

Intelligence - Latest Advances,

*Esther Villar, Eneko Osaba, Jesus L. Lobo and Ibai Laña*

economy. For this reason, Artificial Intelligence (AI), a knowledge field that emerges and flourishes on data, can be arguably deemed as the principal driving force of the current social and economical revolution. AI makes possible to extract knowledge from data, in order to infer, decide and proactively act in diverse critical areas for the human being, such as transportation, energy, industry, health, security

In the current technological society, data are considered the new oil of the digital

Today, AI services and products can be found in many daily applications, such as those mobile tools that enrich user experience with our mobile devices or in the online shopping sector, where AI intervenes in the whole process from the targeted advertising to the recommendation systems. Furthermore, the application of AI algorithms in the industry has been a recurrent research topic for some years, and represents one of the catalyst technologies of the entire digital transformation movement that the industry is experiencing [1]. In this context, we can find heterogeneous systems such as predictive analytics methods, decision support techniques or artificial vision systems. Many additional applications are being developed and deployed by different companies for helping in diverse contexts such as the assistance with diagnosis and planning decisions, automated inspections, robotic

In any case, we are still at the very dawn of a technological revolution. It is widely considered that in an increasingly interconnected and automated world, those companies who master AI technologies will exercise control over the market.

Artificial Intelligence is a wide field of knowledge dedicated to the design, modeling and implementation of intelligent systems so that they automatically give a response to complex problems arisen in the real-world. In this regard, several subfields can be found in this broader paradigm, being Machine Learning (ML) and

ML comprises those algorithms targeted to extract knowledge from data, relying on fundamental concepts in computer science, statistics or probability. Apart from

New Paradigms and Novel

### **Chapter 1**
