5Technologies Driving Society's Digital Transformation

This chapter discusses self‐improving AI and explores the evolution of artificial intelligence and the concept of AI systems that are capable of self‐improvement over time. It also delves into the use of artificial neural networks in AI, which is a technique inspired by the structure and function of the human brain.

In addition to discussing the advancements in AI technology, the chapter explores how these technologies can be used to empower cities and humanity as a whole. The application of AI in urban environments has the potential to improve transportation systems, enhance public safety, and streamline city services.

Looking toward the far future, the chapter also considers the potential implications of AI and neural network evolution on society and humanity as a whole. As these technologies continue to evolve and improve, it is important to consider the ethical and societal implications of their widespread adoption and use.

Deep Learning

The field of deep learning has come a long way since it first emerged in the 1980s. From the early days of limited computing power and data availability to today's state‐of‐the‐art models, deep learning has revolutionized the way we approach problem solving across many industries.

A major breakthrough came in 2010 with the launch of the ImageNet competition, which made a large dataset of labeled images available to the public. This provided a platform to develop state‐of‐the‐art image ...

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