Books like How to Create a Mind by Ray Kurzweil

Erik Brynjolfsson explores how digital technologies are reshaping work, productivity, and society—highlighting both the opportunities and the disruptions—and offers strategies for education, collaboration, and policy in the emerging economy.

Ray Kurzweil predicts how computing power, artificial intelligence, and direct brain‑computed interfaces will blur the line between humanity and technology by the early twenty‑first century.

Kurzweil explores the coming fusion of human minds with advanced machines, predicting that integrated intelligence will surpass current human capacity, shaping future society.

Annalee Newitz examines how modern scientific advances can help humanity survive future global catastrophes, from ocean simulations to underground refuge studies, cyanobacteria-based habitats, and cost‑effective Space Elevator designs.

Alan Weisman’s Countdown asks how many humans Earth can sustain, blending field research with ecological science to chart a path toward a balanced, prosperous future for people and nature.

How deep learning-from Google Translate to driverless cars to personal cognitive assistants-is changing our lives and transforming every sector of the economy. The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy. Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future.

Michael Saylor explains how mobile computing is becoming a universal, personal computing platform, reshaping education, commerce, and society, and offers guidance for individuals and leaders to navigate this transformative technology.

"Igor Aleksander heads a major British team that has applied engineering principles to the understanding of the human brain and has built several pioneering machines, culminating in MAGNUS, which he calls a machine with imagination. When he asks it (in words) to produce an image of a banana that is blue with red spots, the image appears on the screen in seconds.". "Interweaving anecdotes from his own life and research with imagined dialogues between historical figures - including Descartes, Locke, Hume, Kant, Wittgenstein, Francis Crick, and Steven Pinker - Aleksander leads readers toward an understanding of consciousness. He shows not only how the latest work with artificial neural systems suggests that an artificial form of consciousness is possible but also that its design would clarify many of the puzzles surrounding the murky concepts of consciousness itself. How to Build a Mind also examines the presentation of "self" in robots, the learning of language, and the nature of emotion, will, instinct, and feelings."--BOOK JACKET.