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Название: Artificial Intelligence: How it Changes the Future
Автор: Sachin Ramar
Издательство: Independently published
Год: 2019
Страниц: 106
Язык: английский
Формат: epub, azw3, pdf (conv)
Размер: 10.1 MB

Artificial Intelligence lives among us. They are in smartphones; they help people find information; they also learn the behaviors of their owners and produce relevant contents to enhance their user's experience and encourage them to continue using the device. Some people are actually right to be concerned when AI is deeply entrenched like this. In this book, we will discuss AI in detail, including its history, how it works, and how it influences the society.

Perhaps one of the biggest breakthroughs for AI technology research is in the field of machine learning, specifically deep learning. Of course, the research is only successful thanks to how easily data can be collected. Moreover, we have more computing power than ever. During that time, the use of GPU clusters to train machine-learning systems become more widespread.

These clusters are more than just giving computing powers to train machine-learning models, though. They are available widely as cloud services over the internet. Eventually, major tech firms such as Google and Microsoft have moved to utilize specialized chips to run and train machine-learning models. The best example of these custom chips is the one from Google known as Tensor Processing Unit. The latest version allows machine-learning to study information from data a lot faster, not to mention the speed of which bots are trained using the chip. These chips are used to train models for DeepMind and Google Brain, not to mention that the models that underpin the translation capacity of Google Translate and the photo recognition of Google Photos. There are also other services that allow the public to build their own machine learning models using Google’s TensorFlow Research Cloud. The second generation of these chips is unveiled at Google’s I/O conference about last year that promises even better speed for Google’s machine-learning model used in translation.


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