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Rebooting AI

Building Artificial Intelligence We Can Trust

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Rebooting AI

Yazan: Gary Marcus, Ernest Davis
Seslendiren: Kaleo Griffith
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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. Computer Science Engineering Machine Theory & Artificial Intelligence Teknoloji Makine Öğrenimi Veri Bilimi Robotik Yapay Zeka Kariyer Programlama
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A refreshing, thoughtful, well-argued plea for everyone to calm down about artificial intelligence. Compulsory reading.

The singularity is not so near after all.

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I really enjoyed this book, and it gave me a lot of new insights. However, I found it slightly repetitive with the same themes and ideas coming back a couple of times throughout the book. I feel the same information could be captured in half the amount of pages. Still very worthwhile read/listen!

Very interesting, slightly repetitive

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many of the concepts are very interesting and well presented. however, it could have been half as long without imo loosing clarity or impact.

very repetitive

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This book is a great alternative to the overselling of AI that we see so often today. No, there's not a robot overtaking on the way, and it's even likely that general AI is some time into the far future. Not as imminent as one might think. The reading is good and to the point, works well for high speed.

Great antidote to AI overselling

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I tried giving this book a chance to learn how to be more skeptical, but I ended up being skeptical about the book and its contents. A huge number of key assumptions and assertions made by the authors turned out to be false just a few years later, and so it makes me question whether I should take onboard the statements I'm not an expert in

Most assertions made by this book turn out false

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