Rebooting AI

Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.

Rebooting AI

Rebooting AI

Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust artificial intelligence. Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we have been led to believe. Professors Gary Marcus and Ernest Davis have spent their careers at the forefront of AI research and have witnessed some of the greatest milestones in the field, but they argue that a computer beating a human in Jeopardy! does not signal that we are on the doorstep of fully autonomous cars or superintelligent machines. The achievements in the field thus far have occurred in closed systems with fixed sets of rules, and these approaches are too narrow to achieve genuine intelligence. The real world, in contrast, is wildly complex and open-ended. How can we bridge this gap? What will the consequences be when we do? Taking inspiration from the human mind, Marcus and Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. If we focus on endowing machines with common sense and deep understanding, rather than simply focusing on statistical analysis and gatherine ever larger collections of data, we will be able to create an AI we can trust—in our homes, our cars, and our doctors' offices. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.

More Books:

Rebooting AI
Language: en
Pages: 288
Authors: Gary Marcus, Ernest Davis
Categories: Computers
Type: BOOK - Published: 2019-09-10 - Publisher: Vintage

Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust artificial intelligence. Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we
Analytical Skills for AI and Data Science
Language: en
Pages: 244
Authors: Daniel Vaughan
Categories: Computers
Type: BOOK - Published: 2020-05-21 - Publisher:

While several market-leading companies have successfully transformed their business models by following data- and AI-driven paths, the vast majority have yet to reap the benefits. How can your business and analytics units gain a competitive advantage by capturing the full potential of this predictive revolution? This practical guide presents a
Failure Management
Language: en
Pages: 240
Authors: William B. Rouse
Categories: Computers
Type: BOOK - Published: 2021-01-26 - Publisher: Oxford University Press, USA

William B. Rouse explores eighteen well-known cases of high-consequence failures to outline a conceptual approach to integrated failure management, enabling a cross-cutting of system design principles and practices and an assurance that failure management in any context need not start with a blank slate.
Neuronale Netze Selbst Programmieren
Language: de
Pages: 232
Authors: Tariq Rashid
Categories: Computers
Type: BOOK - Published: 2017 - Publisher:

Neuronale Netze sind Schlüsselelemente des Deep Learning und der Künstlichen Intelligenz, die heute zu Erstaunlichem in der Lage sind. Dennoch verstehen nur wenige, wie Neuronale Netze tatsächlich funktionieren. Dieses Buch nimmt Sie mit auf eine unterhaltsame Reise, die mit ganz einfachen Ideen beginnt und Ihnen Schritt für Schritt zeigt, wie
Rebooting Regulation
Language: en
Pages: 14
Authors: Tariq Rashid
Categories: Electronic books
Type: BOOK - Published: 2019 - Publisher:

Books about Rebooting Regulation

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