Types of Artificial Intelligence

Institution Jomo Kenyatta University of Science and Technology
Course Information Technolo...
Year 3rd Year
Semester Unknown
Posted By Jeff Odhiambo
File Type pdf
Pages 3 Pages
File Size 94.78 KB
Views 4192
Downloads 0
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Description

Buy "Types of Artificial Intelligence" now and learn about the diverse and dynamic categorization of AI based on capabilities and functionalities. This comprehensive book delves into the distinctions between Narrow AI, General AI, and Super AI, highlighting how these types of AI perform tasks with varying degrees of intelligence and autonomy. With detailed examples and engaging narratives, you'll explore real-world applications of Narrow AI, such as Apple's Siri and IBM's Watson, and understand the potential and challenges of developing General AI and Super AI. Discover the fascinating functionalities of AI, including Reactive Machines, Limited Memory, Theory of Mind, and Self-Awareness. The book explains how each type operates, from reactive machines like IBM's Deep Blue to the hypothetical concept of self-awareness AI. With insights into the current state and future possibilities of AI, "Types of Artificial Intelligence" is an essential read for anyone looking to deepen their understanding of AI's diverse landscape and its impact on our world.
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SMA 2371: Partial Differential Equations (Complete Notes, Examples & Solutions) – JKUAT Biostatistics Year 2 Semester 2
These are comprehensive and well-organized lecture notes for SMA 2371: Partial Differential Equations (PDE) offered to BSc. Biostatistics Year 2 Semester 2 students at JKUAT. The notes are neatly arranged from lecture one to the final topics, making them ideal for class learning, revision, CAT preparation, and final examinations. The notes include detailed explanations, worked examples, step-by-step mathematical derivations, solved exercises, and applications of Partial Differential Equations. Topics covered include: • Review of basic concepts and partial derivatives • Jacobians, surfaces and curves in three dimensions • Simultaneous first-order differential equations • Methods of solving symmetric differential equations • Orthogonal trajectories • Pfaffian differential equations • Linear first-order partial differential equations • Formation of PDEs • Elimination of arbitrary constants and arbitrary functions • Heat, Wave, Laplace and Poisson equations • Separation of variables • Fourier and Laplace Transform methods • Numerous worked examples, tutorial questions and examination-style problems with solutions. These notes are suitable for JKUAT students and other university students studying Mathematics, Statistics, Biostatistics, Engineering, Applied Mathematics or related courses. They are an excellent revision resource for CATs and final examinations.
57 Pages 1335 Views 0 Downloads 1.77 MB