The Best New Artificial Intelligence Research eBooks To Read In 2025

Is a computer simulation of a brain sufficient to make it intelligent? Do you need consciousness to have intelligence? Do you need to be alive to have consciousness? This book has a dual purpose. First, it provides a multi-disciplinary research survey across all branches of neuroscience and AI research that relate to this book’s mission of bringing AI research closer to building a human-level AI (HLAI) system.

It provides an encapsulation of key ideas and concepts and provides in-depth surveys of neuroscience and AI research related to the book's mission, providing all the references for the reader to delve deeper; much of the survey coverage is of recent pioneering research. Second, the final part of this book brings together key concepts from the survey and makes suggestions for building HLAI. This book provides accessible explanations of numerous key concepts from neuroscience and artificial intelligence research, including:. The focus on visual processing and thinking and the possible role of brain lateralization toward visual thinking and intelligence.Diffuse decision making by ensembles of neurons.The inside-out model to give HLAI an inner "life" and the possible role for cognitive architecture implementing the scientific method through the plan-do-check-act cycle within that model (learning to learn).A neuromodulation feature such as a machine equivalent of dopamine that reinforces learning.The embodied HLAI machine, a neurorobot, that interacts with the physical world as it learns.This book concludes by explaining the hypothesis that computer simulation is sufficient to take AI research further toward HLAI and that the scientific method is our means to enable that progress. This book will be of great interest to a broad audience, particularly neuroscientists and AI researchers, investors in AI projects, and lay readers looking for an accessible introduction to the intersection of neuroscience and artificial intelligence.

How does artificial intelligence (AI) work and are there parallels to the human brain? What do natural and artificial intelligence have in common, and what are the differences? Is the brain nothing more than a biological computer? What are neural networks and how can the term deep learning be explained simply? Since the cognitive revolution in the middle of the last century, AI and brain research have been closely intertwined. There have been several spectacular breakthroughs in the field of AI in recent years, from alphaGo to DALL-E 2 and ChatGPT, which were completely unthinkable until recently.

However, researchers are already working on the innovations of tomorrow, such as hybrid machine learning or neuro-symbolic AI. But what does this actually mean? Based on current research findings and exciting practical examples, this non-fiction book provides an understandable introduction to the basics and challenges of these fascinating disciplines. You will learn what neuroscience and psychology know about how the brain works and how artificial intelligence works. You will also learn how AI has revolutionized our understanding of the brain and how findings from brain research are used in computer science to further develop AI algorithms. Discover the fascinating world of these two disciplines. Find out why artificial intelligence and brain research are two sides of the same coin and how they will shape our future.

Welcome to the world of Artificial Intelligence (AI) research, where innovation knows no bounds and the boundaries of technology are continually being pushed. As we embark on this journey together, I am thrilled to introduce you to the captivating realm of AI research and the multifaceted role of an AI Research Scientist. In today's digital age, AI has become ubiquitous, revolutionizing industries, enhancing daily experiences, and shaping the way we interact with technology.

Behind every AI breakthrough and innovation lies a dedicated team of researchers, engineers, and visionaries, relentlessly pushing the boundaries of what's possible. At the heart of this movement are AI Research Scientists, the architects of tomorrow's technology landscape. These individuals are tasked with the monumental challenge of developing and advancing AI technologies, driving innovation, and creating solutions that have the power to transform industries and improve lives. In this eBook, we embark on a comprehensive exploration of the path to becoming an AI Research Scientist. Whether you're a seasoned professional looking to deepen your expertise or an aspiring enthusiast eager to enter this exhilarating field, this guide is designed to be your trusted companion every step of the way. Charting Your Course. Our journey begins with an introduction to the fundamentals of AI research, providing a solid foundation upon which to build your expertise. From understanding the core principles of AI to exploring the diverse domains within the field, you'll gain invaluable insights into the dynamic landscape of AI research. Next, we delve into the art of algorithmic innovation, where we uncover the secrets of designing novel algorithms and models to tackle complex AI challenges. Through real-world examples and case studies, you'll learn how to unleash your creativity and develop solutions that push the boundaries of what's possible in AI. Harnessing the Power of Data. No discussion of AI research would be complete without a deep dive into the world of data. In this section, we explore the intricacies of data analysis, revealing the techniques and tools used to extract meaningful insights, identify patterns, and develop predictive models. From data preprocessing to model evaluation, you'll discover the key steps involved in turning raw data into actionable intelligence. Experimentation and Innovation. Experimentation lies at the heart of AI research, serving as the crucible in which ideas are tested, refined, and ultimately transformed into reality. In this chapter, we explore the principles of experimental design and evaluation, equipping you with the skills needed to conduct rigorous experiments and iterate on your findings to drive innovation. From Code to Creation. As an AI Research Scientist, proficiency in software development is essential for bringing your ideas to life. In this section, we demystify the process of software development in the context of AI research, providing practical guidance on implementing algorithms and models using popular programming languages and frameworks. Whether you're a seasoned coder or new to programming, you'll find valuable insights and best practices to elevate your skills to the next level. The Power of Collaboration. AI research is a collaborative endeavor, requiring the expertise and insights of diverse teams working towards a common goal. In this chapter, we explore the importance of collaboration in AI research, highlighting the benefits of interdisciplinary teamwork and providing strategies for effective communication, project management, and knowledge sharing. So, join me as we explore the dynamic world of AI research and chart a course towards a future filled with endless possibilities.