Information science Introduction to artificial intelligence chip circuits / Takayuki Kawara

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Information Science
[Introduction to the content]
[Target audience]
While the development of artificial intelligence (AI) has had a deep impact on society, this is an affordable page-length primer for young engineers and students who are interested in semiconductors and integrated circuits, which are key growth industries, and who are interested in AI processing on the edge side, which is expected to develop especially based on their knowledge.
[Features and structure of books]
Since the success of deep learning, processing using AI, which is a technology for information processing that people feel is intelligent, has been developed as an integral part of processing using neural networks with the aim of artificially reproducing neural circuits in the brain.
Technological developments in LSI chips (large-scale integrated circuits) and semiconductor memories are important for executing AI processing at higher speed, higher power efficiency, and lower cost.
In this book, we will learn about three aspects of the "artificial intelligence chip", an integrated circuit dedicated to AI processing.
This book provides you with the knowledge you need to understand more technical content and to read related articles.
1. Configuration of Artificial Intelligence Chip Circuit (Chapters 2 to 4)
An artificial intelligence chip circuit is formed by combining a neural network with an electronic circuit.
Starting with a basic description of a neural network and outlining the basics of an electronic circuit, we present the configuration of an artificial intelligence chip at the circuit block level.
A large number of arithmetic units are mounted to enable parallel processing.
We also describe technologies for low-power and high-performance artificial intelligence chips with the aim of developing them at the edge.
2. Semiconductor Memory and Computing (Chapters 5 and 6)
This article introduces near-memory computing and in-memory computing technologies that are important for improving the performance of artificial intelligence chips.
This is an area where future development is expected.
Here we begin with a basic description of semiconductor memory.
Next, we will look at the major types of memory and give an introduction to how they can be applied to artificial intelligence chips.
3. All-Coupled Ising Machines for Combinatorial Optimization Problems (Chapters 7 and 8)
All-Coupled Ising Machines for Combinatorial Optimization Problems that pose problems in various parts of society have the same configuration as Hopfield Network, a type of neural network.
The LSI implementation of the all-coupled Ising machine is shown in detail, and is shown as a concrete example for considering the performance enhancement of the artificial intelligence chip.
At the same time, we will also deepen our understanding of the all-coupled inking machine itself, which is being developed because of its importance.
[Contents]
☆ Due to pre-publication information, some changes may be made.
1. Artificial Intelligence Processing and LSI
1.1 The Future of AI Chips
1.2 Information Processing Integrated Circuits and AI Chips
1.3 Artificial Intelligence (AI) Processing and Integrated Circuits
1.4 Edge AI Processing
1.5 Contents and structure of this document
2. Artificial Intelligence LSI Components and Basic Electronic Circuits
2.1 Brain Information Processing and Neural Networks and AI Chips
2.2 Artificial Intelligence LSI Components
2.2.1 Artificial Neurons
2.2.2 Artificial Neurons Processing and Artificial Neural Br> 4.7 Quantum Computers
civ Artificial Intelligence LSI and Brain-Type Computers
Conclusion
5. Semiconductor Memory and Computing
Memory in Computing
Hierarchy of Semiconductor Memory
Non-Volatile Memory
Basic Circuit Structure of Semiconductor Memory
Condensed Non-Volatile Memory
Basic Circuit Structure of Semiconductor Memory
Condensed Non-Volatile Memory
Basic Circuit Structure and Effects of Near Memory and In-Memory Computing
Various Types of Semiconductor Memory
Volatile Memory
Condensed Non-
Configuration Examples for Deep Scalable
Deep Scalable
Specific Configuration Examples for Deep Scalable
Implementation Examples for Deep Scalable Fully Coupled Ising Machines
Solution Examples using Deep Coupled Scalable Ising Machines
Future Development
Development of intelligence LSI Systems
Mist Artificial Intelligence LSI Systems
Technological Fields Affecting Development of Mist Artificial Intelligence LSI Systems
Development of Mist Artificial Intelligence LSI Systems
Development of Mist Artificial Intelligence LSI Systems
Semiconductor processing technology, device technology, new materials, new functions
Optical element technology