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About Understanding the AI Revolution
After many years during which it languished in relative obscurity, in remote classrooms of Computer Science departments and in small prototype projects for tech companies, Artificial Intelligence (AI) is now a searingly hot topic across the media. Yet much of the public discussion is so feverish that an understanding of the basic scientific and engineering elements of the field is easily lost, often resulting in exaggerated claims, as well as dangerously neglected threats. This concise and sober book presents a brief history of AI, explaining in clear language the central engineering innovations that have produced the current revolution. It distinguishes between imagined dangers and the very real problems that AI is creating. Spread across seven short and accessible chapters, this book explains the developments behind Deep Learning and the applications of deep neural networks (DNNs). Automatic code generation applies NMT methods to mapping natural language text into computer code. It permits programmers to create, test, and correct code in a variety of languages. As DNN (Deep Neural Network) code generation improves in quality, it will replace much of the manual work in programming. This will allow software engineers to focus on high-level design and application problems, rather than the details of coding.
Detailed Information
| Author: | Shalom Lappin |
|---|---|
| Language: | English |
| File Size: | 4.5 |
| Format: | |
| Price: | FREE |
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