Summary of Thinking Machines

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Rating

8 Overall

9 Importance

8 Innovation

7 Style

Recommendation

In his engaging overview of artificial intelligence (AI), tech journalist Luke Dormehl lucidly sets out the origins of AI, probes its applications, and speculates with relish about its wider, wilder potential – for good, ill or some moral hinterland. For many, the idea of AI conjures sci-fi killer robots and malevolent digital minds. Perhaps because the giant electronic brains of the 1960s failed to fledge fully, many people missed the birth of exponential new paradigms of self-learning neural networks inspired by neuroscience. “Narrow AI” pervades modern life – in wearable devices, smartphones, smart homes, translation apps, digital assistants, and more – while a “wide AI” looms. This presages great benefit – or maybe a “Technological Singularity” that will displace humanity from cognitive dominance. Automation may take your job, but new “high-touch, artisan” and unimaginable careers will occupy adaptable workers. getAbstract recommends this smart, salient guide to technology watchers, futurists, investors and progressive innovators.

In this book, you will learn

  • How learning-capable neural networks revolutionized artificial intelligence (AI),
  • How AI usurps jobs but generates new forms of employment, and
  • How AI opens up possibilities like the “mind-clone” and vast explosions of intelligence.
 

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