Without a doubt, the technology that is advancing the most in recent years, and that everything indicates that it will be the one that will grow the most at least in the next decade, is Artificial Intelligence. And all new inventions and projects incorporate this technology to remain relevant, since right now it seems that if it does not have AI it is not as innovative or groundbreaking.
Thanks to the capabilities of this technology we know that our world is going to change as we know it, and although we are still in the first phase of this “Age of AI” and the products and services that are available are still limited, many changes are already taking place. Without going any further, a revolution is taking place in translation that will further drive globalization, in the same way that practically all jobs are going to be affected by it, except for some that Bill Gates points out.
In fact, the former CEO of Google, Eric Schimdt, explained the three great advances that we will experience for next year, but this is not the only expert who is predicting the future of the sector, and that is…A personality of the renown of Andrew Ng, has also shared his vision of the future, although in a different way.
Ng is one of the pioneers of AI worldwide thanks to his leadership in so many AI projects. deep learning and online education that have marked the evolution of this technology. This is because he is the founder of DeepLearning.AI, founder and CEO of Landing AI, general partner of AI Fund, as well as the president and co-founder of Coursera and an adjunct professor in the Department of Computer Science at Stanford University.
To explain what the future holds for us, Ng, recommends reading these five thought-provoking books to help readers understand the fundamentals, understand the latest advances, and prepare for the social repercussions of this transformative technology.
1. Human Compatible by Stuart Russell
This book addresses one of the most important topics around this technology, such as how align artificial intelligence with human interests. The focus is the need to create machines that benefit society, although it exposes the complexity of these actions.
2. The Master Algorithm by Pedro Domingos
This volume focuses on the search for a greater or “master” algorithman idea of creating a machine that could learn everything, that is, have total knowledge and then be able to teach itself to the rest of the machines
3. Superintelligence by Nick Bostrom
In this book, it is exposed the possible paths and dangers that may arise as we develop super-intelligent AI systems that far surpass human intelligence.
4. Life 3.0 by Max Tegmark
In this book, its author leads us to imagine what a world dominated by a superintelligent AI would be like.. Examine the risks and rewards of life in a universe in which humans are surpassed by more capable and artificial entities.
5. Deep Learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville
This is a book that provides a mathematical and conceptual foundation of deep learning. It explores a wide range of topics, from the fundamentals of machine learning to the most advanced neural network architectures, and serves as a comprehensive resource for both students and researchers in the field.
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