Organic AI: How nature's principles can transform artificial intelligence

Author:   Bruno Maisonnier
Publisher:   Hermann Editeurs Des Sciences Et Des Arts Sa
ISBN:  

9791037045140


Pages:   192
Publication Date:   18 May 2025
Format:   Paperback
Availability:   Available To Order   Availability explained
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Organic AI: How nature's principles can transform artificial intelligence


Overview

What if artificial intelligence could evolve to resemble natural intelligence? In Organic AI, Bruno Maisonnier rethinks the foundations of AI by drawing inspiration from the mechanisms of nature. Unlike current models that rely on massive amounts of data and energy, his innovative and disruptive approach - ""organic AI"" - proposes more efficient systems capable of contextual understanding and real-time adaptation. In this book, the author - a pioneer in robotics and creator of the iconic humanoid robots Nao and Pepper - presents a groundbreaking vision: to develop an AI that doesn't just process information but uses the principles of ""simplexity"" to truly learn and reason. This is an essential read for imagining a future where machines, finally intelligent, redefine their relationship with humans and the world around them.

Full Product Details

Author:   Bruno Maisonnier
Publisher:   Hermann Editeurs Des Sciences Et Des Arts Sa
Imprint:   Hermann Editeurs Des Sciences Et Des Arts Sa
Dimensions:   Width: 14.00cm , Height: 1.00cm , Length: 21.00cm
Weight:   0.222kg
ISBN:  

9791037045140


Pages:   192
Publication Date:   18 May 2025
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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Author Information

Bruno Maisonnier, an engineer trained at École Polytechnique, founded Aldebaran Robotics in 2005 and AnotherBrain in 2017, a French startup developing a new kind of AI inspired by the principles of nature.

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Latest Reading Guide

MRGC26

 

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