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1. AI is only for large corporations. 2. AI will replace human workers. 3. AI is too expensive for small businesses. 4. AI is only useful for data analysis. 5. AI is a one-time investment with immediate results.

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,…

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…

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…