Artificial Intelligence The New Scientiest

This book addresses the issue of cognitive semantics’ aspects that cannot be represented by traditional digital and logical means. The problem of creating cognitive semantics can be resolved in an indirect way.

If you are searching for resources to start studying Artificial Intelligence then you are in the right place. The author discusses all the things step by step in this short and cheap textbook for beginners.

A fresh look at a “robot-proof” education in the new age of generative AI.

Artificial Intelligence | Data Science with Python | Machine Learning | Deep Learning with Keras and TensorFlow

This book addresses the history of artificial intelligence through the author’s experiences from the 1960s, when AI was a dream to give computers far more power than the progress for industrial technological advancement. The book starts from the AI pioneering days including what the author witnessed and impressed, then the episodes during AI boom of the 80s and 90s when the author was involved in ANSI X3J13 committee work as a principal member, translating Common Lisp books into Japanese, leading committee works in Japan for global standardization, and visiting MIT AI Lab for totally three years. The book points out that neural network research started in the 1980s, highlighting the DARPA report dated in 1988. The last episodes and thoughts include the experiences with business school students after the author moved from engineering school. The former half is from a view of an engineering mind and then the latter is based on how the author struggled with business-minded people to explain the core of AI.