A Brief History of Intelligence
From the Big Bang to the Metaverse
Page
%P
-
Chapter
Matter, Energy, Information, and Intelligence
From the struggle of different schools of artificial intelligence to different views on artificial intelligence in general, we can see that there is still a lack of scientific understanding of artificial intel...
-
Chapter
Introduction
Humans have accomplished countless amazing things in our short history. We walked on the moon, created electronic devices, mastered flight, etc. With less than seventy thousand years, humankind has evolved fro...
-
Chapter
Intelligence in Physics
After matter was formed in the universe, there rose a natural science, physics, which studies matter, its motion and behavior, and the related entities of energy and force.
-
Chapter
The Metaverse and the Real-World Universe
Metaverse is undoubtedly a hot word in industry and academia since 2021, and has become a hot new concept in the global technology field recently. At the beginning of 2021, the pre-IPO campaign of the game com...
-
Chapter
Stabilizing the Universe
The universe we live in is a general term for the vast space and the various celestial bodies with diffused matter that exist in it. Although the origin of the universe is an extremely complex issue, people ha...
-
Chapter
Intelligence in Chemistry
The story of intelligence continues with increasing levels of abstraction. With the appearance of rich information structure in atoms, such as carbon atoms, increasingly complex molecules were formed. As a res...
-
Chapter
Intelligence in Humans
It is believed that animals much like modern humans first appeared about 2.5 million years ago. About 70,000 years ago, the cognitive revolution occurred in a species called Homo sapiens in Africa. The brain stru...
-
Book
-
Chapter
Intelligence in Biology
Earth remains the only place in the universe known to harbor life. The earliest time that life forms first appeared on Earth is at least 3.77 billion years ago, possibly as early as 4.41 billion years—not long...
-
Chapter
Intelligence in Machines
The idea of building intelligent machines has been around for a long time. The ancient Egyptian and Chinese had myths about robots and inanimate objects coming to life. Philosophers mulled over the hypothesis ...
-
Article
Distributed self-optimizing interference management in ultra-dense networks with non-orthogonal multiple access
Both non-orthogonal multiple access (NOMA) and ultra-dense network (UDN) are promising technologies in future wireless networks. However, considering the overlapped coverage of small base stations (SBSs) and t...
-
Article
Automatically synthesizing DoS attack traces using generative adversarial networks
Artificial intelligence (AI) technology ruling people is still the scene in the science fiction film, but hackers using AI technology against existing security measures is an inescapable trend. Network intrusi...
-
Book
-
Chapter
Reinforcement Learning and Deep Reinforcement Learning
In order to better understand state-of-the-art reinforcement learning agent, deep Q-network, a brief review of reinforcement learning and Q-learning are first described. Then recent advances of deep Q-network are...
-
Chapter
Introduction to Machine Learning
Machine learning is evolved from a collection of powerful techniques in AI areas and has been extensively used in data mining, which allows the system to learn the useful structural patterns and models from tr...
-
Chapter
Deep Reinforcement Learning for Mobile Social Networks
Social networks have continuously been expanding and trying to be innovative. The recent advances of computing, caching, and communication (3C) can have significant impacts on mobile social networks (MSNs). MS...
-
Chapter
Deep Reinforcement Learning for Interference Alignment Wireless Networks
Both caching and interference alignment (IA) are promising techniques for next generation wireless networks. Nevertheless, most existing works on cache-enabled IA wireless networks assume that the channel is i...
-
Article
Power allocation in small cell networks with full-duplex self-backhauls and massive MIMO
With the dense deployment of small cell networks, low-cost backhaul schemes for small cell base stations (SBSs) have attracted great attentions. Self-backhaul using cellular communication technology is conside...
-
Living Reference Work Entry In depth
Integrated System of Networking, Caching, and Computing
-
Living Reference Work Entry In depth
Interference Mitigation in Wireless Communications-Based Train Control (CBTC), Cognitive Control Approach
