Applied Antifragility in Natural Systems

From Principles to Applications

, , ,

Éditeur :

Springer

Paru le : 2025-07-01

As coined in the book of Nassim Taleb, antifragility is a property of a system to gain from uncertainty, randomness, and volatility, opposite to what fragility would incur. An antifragile system’s response to external perturbations is beyond robust, such that small stressors can strengthen the futur...
Voir tout
Ce livre est accessible aux handicaps Voir les informations d'accessibilité
Ebook téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Compatible lecture en ligne (streaming)
52,74
Ajouter à ma liste d'envies
Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

À propos


Éditeur

Collection
n.c

Parution
2025-07-01

Pages
80 pages

EAN papier
9783031903908

Cristian Axenie is High Tech Agenda Bayern Professor of Artificial Intelligence, Scientific Staff with the Center of Artificial Intelligence, and Research Group Leader of the Sensorimotor Processing Intelligence and Control in Efficient compute Systems Laboratory (SPICES Lab) at the Technische Hochschule Nürnberg Georg Simon Ohm (Nuremberg Institute of Technology) in Nürnberg, Germany. After earning a Dr. Eng. Sc. in Neuroscience and Robotics from the Technical University of Munich (TUM), Dr Axenie was a Research Fellow in Neuromorphic Engineering with the TUM Center of Competence Neuroengineering before joining Huawei Research Center in Munich. With Huawei, Dr Axenie was a Staff Research Engineer in Enterprise Intelligence for Cloud Solutions with Huawei's largest research center outside China. At the same time, Dr Axenie was Head of the Laboratory and Principal Scientist at the Audi Konfuzius-Institut Ingolstadt Laboratory at the Technical University of Ingolstadt, a Sino-German research initiative focused on Human-centered Artificial Intelligence. Earlier, Dr Axenie earned a B. Sc. in Control Engineering and a M. Sc. in Robotics and AI from the University of Galati in Romania. He has over 15 years of experience in academic research and over 10 years in industrial research. His research has been published in 50+ peer-reviewed publications and 10+ patents. Roman Bauer is a Senior Lecturer (Associate Professor) at the Nature Inspired Computing and Engineering research group, in the Computer Science Research Centre at the University of Surrey (UK). He received his Bachelor's and Master's Degree in Computational Science and Engineering from ETH Zuerich, Switzerland. Afterwards, he did his doctoral studies at the Institute for Neuroinformatics (ETH Zürich/Uni Zürich) on simulations of brain development. He then joined Newcastle University(UK) in 2013 as a postdoc and afterwards led his own lab funded by two fellowships (MRC Skills Development Fellowship and EPSRC UKRI Innovation Fellowship). In 2020 he became a Lecturer and in 2023 a Senior Lecturer at the University of Surrey, where he since then leads the interdisciplinary COMBYNE research lab. Dr Bauer's research focuses on the computational modelling and analysis of biological dynamics, in particular those of the brain. Core components of his interests are neurodevelopment and neurodegeneration. His highly interdisciplinary research involves modern computing approaches, biological expertise, innovative machine learning methods and IT- related collaboration.  Oliver López-Corona is a theoretical physicist who studies the physics of life (both natural and artificial), from its theoretical foundations to specific applications in the health of ecosystems, including the human ecosystem. Jeffrey West is an Assistant Professor in the Department of Integrated Mathematical Oncology at Moffitt Cancer Center, where he is an active member of the Center of Excellence for Evolutionary Therapy. His educational background began with a B. Sc. in mechanical engineering from Ohio Northern University with a focus on dynamical systems. His Ph.D. studies at the University of Southern California applied evolutionary game theory and high performance computing methods to study the evolution and ecology of cancer progression and treatment. Now, the goal of his research program at Moffitt is to aid in targeting treatment resistance by constructing mathematical models of 1) tumor evolution and heterogeneity and 2) evolutionary-minded treatment strategies, employing techniques such as agent-based modeling, dose response convexity analysis and evolutionary game theory.

Caractéristiques détaillées - droits

EAN PDF
9783031903915
Prix
52,74 €
Nombre pages copiables
0
Nombre pages imprimables
8
Taille du fichier
4516 Ko
EAN EPUB
9783031903915
Prix
52,74 €
Nombre pages copiables
0
Nombre pages imprimables
8
Taille du fichier
9646 Ko

Suggestions personnalisées