Showing results for "Us" in Computer Science

On balance, will AI help humanity or harm it? AI could revolutionize science, medicine, and technology, and deliver us a world of abundance and better health. Or it could be a disaster, leading to the downfall of democracy, or even our extinction. In Taming Silicon Valley, Gary Marcus, one of the most trusted voices in AI, explains that we still have a choice. And that the decisions we make now about AI will shape our next century.

As AI becomes smarter and more humanlike, our societies, our economies, and our humanity will undergo the most dramatic changes we've seen since the Agricultural Revolution. Some of these changes will enhance our species. Others may dehumanize us and make us more machinelike in our interactions with others. It's up to us to adapt and determine how we want to live and work. Are you ready? In I, Human psychologist Tomas Chamorro-Premuzic offers a guide for reclaiming ourselves in a world in which most of our decisions will be made for us.

Kenneth is senior director of research and innovation at CoreAVI and chief technology officer at Squint AI. His work focuses on the intersection of artificial intelligence and determinism, enabling neural networks to execute in safety critical systems. Kenneth has co-authored two articles in the scholarly journal Machine Learning with Applications and several white papers for different publications, including Embedded Computing Design. He also holds several patents under CoreAVI’s auspices.

Foreword by Steven Pinker Blending the informed analysis of The Signal and the Noise with the instructive iconoclasm of Think Like a Freak, a fascinating, illuminating, and witty look at what the vast amounts of information now instantly available to us reveals about ourselves and our...

Why are we here? What does it mean to love? How do we overcome suffering? Is happiness truly possible? For thousands of years, we have turned to the same beloved texts to explore these universal questions—from the Bible and the Tao Te Ching, to the poetry of Rumi and Sappho, to the words of modern-day mystics. What if you could take all of the wisdom contained in these collective pages and, using the world’s most advanced artificial intelligence, receive the answers?

A particular form of AI is now embedded in our tech, our infrastructure, and our lives. How did it get there? Where and why should we be concerned? And what should we do now? The Shortcut: Why Intelligent Machines Do Not Think Like Us provides an accessible yet probing exposure of AI in its prevalent form today, proposing a new narrative to connect and make sense of events that have happened in the recent tumultuous past, and enabling us to think soberly about the road ahead.

Search is as old as language. There has always been a need for one to find something in the jumble of human creation. The first web was nothing more than passing verbal histories down the generations so others could find and remember how not to get eaten; the first search used the power of written language to build simple indexes in printed books, leading to the Dewey Decimal system and reverse indices in more modern times. Then digital happened.