Technologies related to artificial intelligence, machine learning, and deep learning and their applications.
Will industries change with the utilization of artificial intelligence, machine learning, and deep learning? We will delve into each technology from the basics to applications from the perspective of "effective utilization"!
What can be done? What is needed? For those considering industrial applications of artificial intelligence, machine learning, deep learning-related technologies and their utilization. ◎ What is artificial intelligence? What is machine learning? What is deep learning? ◎ What are supervised learning, unsupervised learning, reinforcement learning, and neural networks (NN)? What is remarkable about deep learning? What are the strategies behind the popular game of Go (AlphaGo)? Understand the basics of each technology thoroughly! ◎ Detailed explanations of image recognition, speech recognition, natural language processing, and more in each field ◎ ◎ Utilizing artificial intelligence! What is needed? How to handle data? What tools are available? What are the methods for implementation? ◎ What is required to leverage artificial intelligence? An explanation of everything from types of open-source tools like R, Python, and Spark to implementation methods for deep learning-related tools such as Caffe and Chainer! ◎ Issues surrounding artificial intelligence are also explained! What are the trends in legal regulations? Will singularity occur? ◎ ◎ What industrial fields can applications be found in? ◎ Explaining the impact on industries, from the application of deep learning in autonomous driving and artificial intelligence in drug discovery and medical diagnosis, to its use in robotics, visual inspection, material development, and energy!
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Publication scheduled for June 2016, price 56,000 yen + tax Format: B5 size softcover, approximately 250 pages, ISBN 978-4-86502-111-0 What can be done? What is needed? For those considering industrial applications: Technologies related to artificial intelligence, machine learning, and deep learning, and their utilization About 30 authors, detailed table of contents available on our website! Please check it out.
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56000
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P2
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Table of Contents Excerpt Chapter 1: Current Status and Future of Artificial Intelligence, Machine Learning, and Deep Learning Related Technologies Section 1: History of Artificial Intelligence Section 2: What is Machine Learning? Section 3: Trends in Deep Learning Section 4: Machine Learning and Data Mining in Artificial Intelligence Section 5: Data Collection through IoT and Data Processing using Artificial Intelligence Methods Section 6: Image Recognition Technology Section 7: Voice Recognition Technology Section 8: Natural Language Processing Section 9: Neuroscience and Artificial Intelligence Chapter 2: Using Artificial Intelligence, Machine Learning, and Deep Learning Related Technologies Section 1: Necessary Skills for Industrial Utilization of Artificial Intelligence Technologies Section 2: Data Handling and Preprocessing Section 3: Implementing Tools Section 4: Privacy Violations and Handling of Personal Data Section 5: Legal Systems and Ethics Surrounding Artificial Intelligence Section 6: Singularity and the 2045 Problem Chapter 3: Various Application Cases and Proposals Section 1: Concept of Industrial Applications of Artificial Intelligence Section 2: Application of Artificial Intelligence Related Technologies in Autonomous Driving and Future Prospects Section 3: Robots and Artificial Intelligence Section 4: Artificial Intelligence in the Medical Field Section 5: Visual Inspection Section 6: Energy Section 7: Marketing, etc.
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The information organization aims to contribute to the development of the industry through technical seminars on chemistry, pharmaceuticals, electronics, machinery, environment, cosmetics, food, etc., as well as the publication of technical books, correspondence courses, and DVDs that record seminars.
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