Organic AI. How nature's principles can transform artificial intelligence
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- Nombre de pages185
- PrésentationBroché
- FormatGrand Format
- Poids0.223 kg
- Dimensions14,0 cm × 21,0 cm × 1,0 cm
- ISBN979-10-370-4415-0
- EAN9791037044150
- Date de parution30/04/2025
- ÉditeurHermann
- TraducteurLaurie Hurwitz
Résumé
What if artificial intelligence could evolve to more closely resemble natural intelligence ? In Organic AI, Bruno Maisonnier rethinks the foundations of AI by drawing inspiration from the mechanisms of nature. Unlike current models, which rely on massive amounts of data and energy, his innovative approach of "organic AI" proposes more efficient systems capable of contextual understanding and adaptation.
In this book, the author, a pioneer in robotics with the robots Nao and Pepper, presents a groundbreaking vision : to develop AI that doesn't just process information, but uses the principles of "simplexity" to learn and reason. This volume is essential for imagining a future in which machines, finally intelligent, redefine their relationship with humans and the world around them.
In this book, the author, a pioneer in robotics with the robots Nao and Pepper, presents a groundbreaking vision : to develop AI that doesn't just process information, but uses the principles of "simplexity" to learn and reason. This volume is essential for imagining a future in which machines, finally intelligent, redefine their relationship with humans and the world around them.
What if artificial intelligence could evolve to more closely resemble natural intelligence ? In Organic AI, Bruno Maisonnier rethinks the foundations of AI by drawing inspiration from the mechanisms of nature. Unlike current models, which rely on massive amounts of data and energy, his innovative approach of "organic AI" proposes more efficient systems capable of contextual understanding and adaptation.
In this book, the author, a pioneer in robotics with the robots Nao and Pepper, presents a groundbreaking vision : to develop AI that doesn't just process information, but uses the principles of "simplexity" to learn and reason. This volume is essential for imagining a future in which machines, finally intelligent, redefine their relationship with humans and the world around them.
In this book, the author, a pioneer in robotics with the robots Nao and Pepper, presents a groundbreaking vision : to develop AI that doesn't just process information, but uses the principles of "simplexity" to learn and reason. This volume is essential for imagining a future in which machines, finally intelligent, redefine their relationship with humans and the world around them.