Books like Possible Minds by John Brockman

Daniel Kahneman's "Thinking, Fast and Slow" explains how two distinct mental systems shape our judgments and decisions, offering insights into the biases that influence everyday choices.

Nick Bostrom explores the risks and possibilities of future machine superintelligence, examining how human dominance could shift if artificial minds surpass us, and considering strategies for a survivable transition.

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

Pedro Domingos unveils the quest for a universal learning algorithm that could extract any knowledge from data, exploring how such a machine—the Master Algorithm—might reshape business, science, and society.

Michio Kaku charts humanity’s probable future as it expands beyond Earth, examining space‑colonization, terraforming, nanotechnology, and interstellar travel.

A collection of 150 concise, expert insights explaining the underlying workings of the world, featuring contributions from leading thinkers in science and technology.

James Barrat’s Our Final Invention examines how the rapid growth of artificial intelligence—present in phones, cars, finance, and infrastructure—could soon outpace human intellect and threaten humanity’s future.

A collection of essays by 175 leading thinkers that questions which long‑standing scientific ideas should be abandoned to advance the frontiers of science.

This Will Make You Smarter presents brilliant but accessible ideas to expand every mind. What scientific concept would improve everybody's cognitive toolkit? This is the question John Brockman, publisher of Edge.org, posed to the world's most influential thinkers. Their visionary answers flow from the frontiers of psychology, philosophy, economics, physics, sociology, and more. Surprising and enlightening, these insights will revolutionize the way you think about yourself and the world.

A collection of essays where leading thinkers argue which scientific term or concept should be better understood by the general public.

"The AI delusion demonstrates why we should not be intimidated into thinking that computers are infallible, that data-mining is knowledge discovery, or that black boxes should be trusted"--Back dust jacket.

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.