Artificial General Intelligence: An Introduction
- Length: 130 pages
- Edition: 1
- Language: English
- Publication Date: 2021-09-26
- ISBN-10: B09H6FBVJT
- ISBN-13: 9781777868703
- Sales Rank: #0 (See Top 100 Books)
Artificial superintelligence will change the world. It has the potential to solve our most pressing issues like climate change and wealth inequality. But to create artificial superintelligence, computer scientists first need to solve the problem of general intelligence. How can we create a machine that can think with the same intellectual capacity as a human being? That is the question that is being asked in cutting-edge AI labs around the world. This book gives a comprehensive introduction to the progress that has been made and the challenges still to come on the journey of creating artificial general intelligence.
Definitions to Understand Preface Intelligence, explained Brain Not Fit for Modern World Understanding of Intelligence Built Around the Brain The Scientific Method Scales of Intelligence Kardashev Civilization Scale Information Economy Power of Intelligence Biological Intelligence The Human Brain as a Roadmap The Innerworkings of the Brain Myelin Sheaths Neurochemicals Human versus Animal Brain Neuroplasticity The Prefrontal Cortex Artificial Narrow Intelligence What AI does Goals of AI How is AI built? Data Advantages and Data Challenges Supervised versus Unsupervised Systems Record-Breaking Narrow AI Systems Randomness Current Tech Environment Artificial General Intelligence Challenges of AGI Generalization Things to Keep in Mind when building AGI Transfer Learning, the Heart of AGI Timeline of AGI The Industry Artificial Superintelligence (Intelligence Explosion) Deep Learning, Reinforcement Learning and NEAT Algorithms Deep Learning Weights and Biases NEAT Algorithms Reinforcement Learning Backpropagation Tools for Deep Learning and Reinforcement Learning Issues with Deep Learning Computational Hardware Requirements of Training Artificial Intelligence Models Basics of GPUs and CPUs The Architecture of GPUs and CPUs Big GPU Companies Environmental Impact Academia versus Enterprise Artificial Intelligence Specific Chips The Possibilities Transfer Learning Inefficiencies of Training AI Systems Importance of Software Current AI Systems AlphaGo IBM Watson Medical Applications of AI Natural Language Processing and Virtual Voice Assistants Facebook The Risks of AGI Automation The Open Letter on Artificial Intelligence The Singularity One Single Failure Just don’t develop AGI systems A World Without AI Major AI Players The Reasonable Future Existential Threats Government Regulation of Artificial Intelligence US – China Cold War 2.0 Brain-Computer Interfacing What are brain-computer interfaces? Privacy The Value of AGI References:
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