Books like Artifical intelligence by Fred D'Ignazio

Deep Learning is a comprehensive textbook that equips students and practitioners with the foundational knowledge and practical skills needed to enter the fields of machine learning and deep learning.

A superintelligent computer discovers a way to rewrite reality’s ‘BIOS’ through a quantum physics quirk, leading to a technological singularity.

When HARLIE Was One is a gripping exploration of consciousness and free will in a world of machines and digital knowledge.

One malfunction… Millions dead… The search for answers begins… Will the rise of AI, be the fall of civilization? In the year 2040, the world's transportation is dominated by a highly advanced artificial intelligence system. However, this seemingly perfect technology collapses, resulting in catastrophic disasters and the loss of millions of lives worldwide. The disaster is dubbed Mayday, and its aftermath affects everyone. But was it simply a malfunction, or is there a more nefarious agenda at work? Who is accountable for the mass slaughter, and why was it carried out?

Defines artificial intelligence, compares it with human intelligence, and explains how it is being used in computer technology and robotics.

A concise, accessible overview of artificial intelligence compiled from Scientific American articles.

**“If you want to know about AI, read this book…it shows how a supposedly futuristic reverence for Artificial Intelligence retards progress when it denigrates our most irreplaceable resource for any future progress: our own human intelligence.”—Peter Thiel** A cutting-edge AI researcher and tech entrepreneur debunks the fantasy that superintelligence is just a few clicks away—and argues that this myth is not just wrong, it’s actively blocking innovation and distorting our ability to make the crucial next leap. Futurists insist that AI will soon eclipse the capacities of the most gifted human mind. What hope do we have against superintelligent machines? But we aren’t really on the path to developing intelligent machines. In fact, we don’t even know where that path might be. A tech entrepreneur and pioneering research scientist working at the forefront of natural language processing, Erik Larson takes us on a tour of the landscape of AI to show how far we are from superintelligence, and what it would take to get there. Ever since Alan Turing, AI enthusiasts have equated artificial intelligence with human intelligence. This is a profound mistake. AI works on inductive reasoning, crunching data sets to predict outcomes. But humans don’t correlate data sets: we make conjectures informed by context and experience. Human intelligence is a web of best guesses, given what we know about the world. We haven’t a clue how to program this kind of intuitive reasoning, known as abduction. Yet it is the heart of common sense. That’s why Alexa can’t understand what you are asking, and why AI can only take us so far. Larson argues that AI hype is both bad science and bad for science. A culture of invention thrives on exploring unknowns, not overselling existing methods. Inductive AI will continue to improve at narrow tasks, but if we want to make real progress, we will need to start by more fully appreciating the only true intelligence we know—our own.