Artificial intelligence (AI) and robotics have boomed in the 21st century. These emerging and disruptive technologies are immersed in our lives, from apps in mobile devices, the purchases we make on the internet streaming platforms, and even court decisions and predictive policing. Together with science and certain needs, relevant implementations of AI and robotics arise,…
Author: AGI Editorial Staff
This unique collection introduces AI, Machine Learning (ML), and deep neural network technologies leading to scientific discovery from the datasets generated both by supercomputer simulation and by modern experimental facilities.Huge quantities of experimental data come from many sources — telescopes, satellites, gene sequencers, accelerators, and electron microscopes, including international facilities such as the Large Hadron…
The Impact of Science Fiction on AI Perception The Role of Sci-Fi Literature Science fiction literature has played a significant role in shaping the public’s perception of artificial intelligence. Early works, such as Isaac Asimov’s “I, Robot” series, introduced the concept of intelligent machines and their potential impact on society. These stories often explored the ethical implications of creating sentient beings and the potential consequences of their actions. Movies and Television Shows The portrayal of AI in movies and television shows has also had a profound effect on how people perceive this technology. Films like “2001: A Space Odyssey,” “The…
The Emergence of Big Data The Digital Revolution The digital revolution has led to an exponential growth in the amount of data generated worldwide. With the proliferation of smartphones, social media, and IoT devices, we are now producing more data than ever before. This massive influx of information is known as “big data.” Characteristics of Big Data Big data is characterized by its volume, velocity, and variety. Volume refers to the sheer amount of data being generated, while velocity represents the speed at which new data is produced and processed. Variety refers to the diverse types of data, including structured,…
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The Evolution of Deep Learning From Shallow to Deep Networks Deep learning, a subset of machine learning, has evolved significantly over the years. Early neural networks were shallow, with only one or two hidden layers between the input and output layers. However, as computational power increased and new algorithms were developed, researchers began experimenting with deeper networks containing multiple hidden layers. These deep networks have proven to be more effective at solving complex problems, such as image and speech recognition. Breakthroughs in Training Techniques One of the key advancements in deep learning has been the development of new training techniques.…
Integrating AI solutions into existing systems can be a challenge. To ensure success, organizations must have a clear understanding of the data sources, the data architecture, and the data pipelines. Additionally, they must have the right tools and processes in place to ensure that the AI solution is properly integrated into the existing system. With the right planning and execution, organizations can ensure that their AI solutions are successfully integrated and ready to deliver value.
Artificial Intelligence and Machine Learning in Healthcare discusses the potential of groundbreaking technologies on the delivery of care. A lot have been said about how artificial intelligence and machine learning can improve healthcare, however there are still many doubts and concerns among health professionals, all of which are addressed in this book. Sections cover History…
Embracing the Potential of Artificial Intelligence Transforming Industries and Professions The future of AI holds immense potential for transforming various industries and professions. From healthcare to finance, AI-powered systems can revolutionize the way we diagnose diseases, manage investments, and even create art. By automating repetitive tasks and enhancing human capabilities, AI has the potential to increase productivity and efficiency across sectors. Personalizing User Experiences AI-driven personalization is already changing the way we interact with technology. In the future, AI will continue to refine and enhance user experiences by understanding individual preferences, habits, and needs. This will lead to more intuitive…
This book provides a comprehensive analysis of the primary challenges, opportunities and regulatory developments associated with the use of artificial intelligence (AI) in the financial sector. It will show that, while AI has the potential to promote a more inclusive and competitive financial system, the increasing use of AI may bring certain risks and regulatory
