Melanie Swan

Ce livre soutient que l'am lioration cognitive devrait tre con ue, par le biais de Bergson, Deleuze et Simondon, comme une question ontologique de plus grandes possibilit s de subjectivation, plut t que comme une pr occupation bio thique. La premi re partie encadre le probl me philosophique de la subjectivation par la dur e et le libre arbitre de Bergson, l'image-mouvement et l'image-temps de Deleuze, et l'individuation individuelle de Simondon. Ensuite, la subjectivation ax e sur les capacit s et l'individuation collective de Simondon sont invoqu es pour surmonter la subjectivation centr e sur l'homme. En outre, une structuration collective non motionnelle est propos e pour permettre aux entit s humaines et non humaines de participer ensemble des individuations de groupe collaboratives. La partie II examine ensuite ce que l'on entend par plus grandes possibilit s de subjectivation et l'articule autour du qualitatif: Le qualitatif de Bergson en tant que dur e, et le qualitatif de Deleuze en tant que signe artistique, pens e pure et immanence. Le qualitatif est li l'immanence, la subjectivation et au sujet transcendantal de Deleuze. Les id es de Bergson, Deleuze et Simondon sont ensuite formul es ensemble dans une image pure de la subjectivation qui peut plus pleinement mettre en oeuvre un moment de subjectivation post-sujet.

In diesem Buch wird argumentiert, dass die kognitive Verbesserung ber Bergson, Deleuze und Simondon als ontologische Frage gr erer Subjektivierungsm glichkeiten und nicht in erster Linie als bioethisches Anliegen verstanden werden sollte. Teil I umrei t die philosophische Problematik der Subjektivierung anhand von Bergsons Dauer und freiem Willen, Deleuzes Bewegungs- und Zeitbild und Simondons individueller Individuation. Anschlie end wird Simondons f higkeitsorientierte Subjektivierung und kollektive Individuation herangezogen, um die auf den Menschen ausgerichtete Subjektivierung zu berwinden. Dar ber hinaus wird eine nicht-emotionale kollektive Strukturierung vorgeschlagen, die es menschlichen und nicht-menschlichen Wesen erm glicht, gemeinsam an kollaborativen Gruppenindividuationen teilzunehmen. In Teil II wird dann untersucht, was mit "gr eren Subjektivierungsm glichkeiten" gemeint ist, und dies durch das Qualitative artikuliert: Bergsons Qualit t als Dauer und Deleuzes Qualit t als artsign, reines Denken und Immanenz. Das Qualitative ist mit Deleuzes Subjektivierung der Immanenz und dem transzendentalen Subjekt verbunden. Ideen von Bergson, Deleuze und Simondon werden dann gemeinsam zu einem reinen Bild der Subjektivierung formuliert, das einen Moment der Subjektivierung nach dem Subjekt vollst ndiger darstellen kann.

Este livro argumenta que o melhoramento cognitivo deve ser concebido, atrav s de Bergson, Deleuze e Simondon, como uma quest o ontol gica de maiores possibilidades de subjetiva o, em oposi o a uma preocupa o primordialmente bio tica. A Parte I enquadra a problem tica filos fica da subjetiva o segundo a dura o e o livre arb trio de Bergson, a imagem-movimento e a imagem-tempo de Deleuze e a individua o individual de Simondon. Em seguida, invoca-se a subjetiva o orientada para a capacidade e a individua o colectiva de Simondon para superar a subjetiva o centrada no ser humano. Al m disso, proposta uma estrutura o colectiva n o emocional para permitir que entidades humanas e n o humanas participem juntas em individua es de grupo colaborativas. A Parte II considera ent o o que se entende por "maiores possibilidades de subjetiva o" e articula-o atrav s do qualitativo: O qualitativo de Bergson como dura o, e o qualitativo de Deleuze como o sinal art stico, o pensamento puro e a iman ncia. O qualitativo est ligado subjetiva o imanente e ao sujeito transcendental de Deleuze. As ideias de Bergson, Deleuze e Simondon s o ent o formuladas em conjunto numa imagem pura de subjetiva o que pode mais plenamente encenar um momento de subjetiva o p s-sujeito.

Questo libro sostiene che il potenziamento cognitivo dovrebbe essere concepito, attraverso Bergson, Deleuze e Simondon, come una questione ontologica di maggiori possibilit di soggettivazione, e non principalmente come una preoccupazione bioetica. La prima parte inquadra la problematica filosofica della soggettivazione attraverso la durata e il libero arbitrio di Bergson, l'immagine-movimento e l'immagine-tempo di Deleuze e l'individuazione individuale di Simondon. Poi si invoca la soggettivazione guidata dalle capacit e l'individuazione collettiva di Simondon per superare la soggettivazione umano-centrica. Inoltre, viene proposta una strutturazione collettiva non emotiva per consentire a entit umane e non umane di partecipare insieme a individuazioni di gruppo collaborative. La seconda parte considera cosa si intende per "maggiori possibilit di soggettivazione" e lo articola attraverso il qualitativo: Il qualitativo di Bergson come durata e il qualitativo di Deleuze come segno artistico, pensiero puro e immanenza. Il qualitativo collegato alla soggettivazione dell'immanenza e al soggetto trascendentale di Deleuze. Le idee di Bergson, Deleuze e Simondon vengono quindi formulate insieme in un'immagine pura di soggettivazione che pu mettere in atto pi pienamente un momento di soggettivazione post-soggettiva.

Quantum Computing for the Brain argues that the brain is the killer application for quantum computing. No other system is as complex, as multidimensional in time and space, as dynamic, as less well-understood, as of peak interest, and as in need of three-dimensional modeling as it functions in real-life, as the brain.Quantum computing has emerged as a platform suited to contemporary data processing needs, surpassing classical computing and supercomputing. This book shows how quantum computing's increased capacity to model classical data with quantum states and the ability to run more complex permutations of problems can be employed in neuroscience applications such as neural signaling and synaptic integration. State-of-the-art methods are discussed such as quantum machine learning, tensor networks, Born machines, quantum kernel learning, wavelet transforms, Rydberg atom arrays, ion traps, boson sampling, graph-theoretic models, quantum optical machine learning, neuromorphic architectures, spiking neural networks, quantum teleportation, and quantum walks.Quantum Computing for the Brain is a comprehensive one-stop resource for an improved understanding of the converging research frontiers of foundational physics, information theory, and neuroscience in the context of quantum computing.

Quantum information and contemporary smart network domains are so large and complex as to be beyond the reach of current research approaches. Hence, new theories are needed for their understanding and control. Physics is implicated as smart networks are physical systems comprised of particle-many items interacting and reaching criticality and emergence across volumes of macroscopic and microscopic states. Methods are integrated from statistical physics, information theory, and computer science. Statistical neural field theory and the AdS/CFT correspondence are employed to derive a smart network field theory (SNFT) and a smart network quantum field theory (SNQFT) for the orchestration of smart network systems. Specifically, a smart network field theory (conventional or quantum) is a field theory for the organization of particle-many systems from a characterization, control, criticality, and novelty emergence perspective.This book provides insight as to how quantum information science as a paradigm shift in computing may influence other high-impact digital transformation technologies, such as blockchain and machine learning. Smart networks refer to the idea that the internet is no longer simply a communications network, but rather a computing platform. The trajectory is that of communications networks becoming computing networks (with self-executing code), and perhaps ultimately quantum computing networks. Smart network technologies are conceived as autonomous self-operating computing networks. This includes blockchain economies, deep learning neural networks, autonomous supply chains, self-piloting driving fleets, unmanned aerial vehicles, industrial robotics cloudminds, real-time bidding for advertising, high-frequency trading networks, smart city IoT sensors, and the quantum internet.