Results 241 to 250 of about 8,673,646 (306)
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Artificial Life

Journal of Macromarketing, 2020
In this article, we explore how the history and myths about Artificial Life (AL) inform the pursuit and reception of contemporary AL technologies. First, we show that long before the contemporary fields of robotics and genomics, ancient civilizations ...
Russell Belk, Ahir Gopaldas
exaly   +3 more sources

Combined life cycle assessment and artificial intelligence for prediction of output energy and environmental impacts of sugarcane production

Science of the Total Environment, 2019
This study aims to employ two artificial intelligence (AI) methods, namely, artificial neural networks (ANNs) and adaptive neuro fuzzy inference system (ANFIS) model, for predicting life cycle environmental impacts and output energy of sugarcane ...
Ali Kaab   +2 more
exaly   +2 more sources

Fatigue life prediction of metallic materials considering mean stress effects by means of an artificial neural network

International Journal of Fatigue, 2020
The mean stress effect plays an important role in the fatigue life predictions, its influence significantly changes high-cycle fatigue behaviour, directly decreasing the fatigue limit with the increase of the mean stress.
Abilio M P De Jesus   +2 more
exaly   +2 more sources

Artificial Intelligence to Bring Nanomedicine to Life.

Advanced Drug Delivery Reviews, 2022
The technology of drug delivery systems (DDSs) has demonstrated an outstanding performance and effectiveness in production of pharmaceuticals, as it is proved by many FDA-approved nanomedicines that have an enhanced selectivity, manageable drug release ...
N. Serov, Vladimir Vinogradov
semanticscholar   +1 more source

Artificial life and Piaget

Trends in Cognitive Sciences, 2003
Artificial life provides important theoretical and methodological tools for the investigation of Piaget's developmental theory. This new method uses artificial neural networks to simulate living phenomena in a computer. A recent study by Parisi and Schlesinger suggests that artificial life might reinvigorate the Piagetian framework.
Ulrich, Mueller, K H., Grobman
openaire   +2 more sources

Robustness in artificial life

International Journal of Bio-Inspired Computation, 2011
Finding robust explanations of behaviours in Alife and related fields is made difficult by the lack of any formalised definition of robustness. A concerted effort to develop a framework which allows for robust explanations of those behaviours to be developed is needed, as well as a discussion of what constitutes a potentially useful definition for ...
Eric Silverman, Takashi Ikegami
openaire   +1 more source

Automating the Search for Artificial Life with Foundation Models

arXiv.org
With the recent Nobel Prize awarded for radical advances in protein discovery, foundation models (FMs) for exploring large combinatorial spaces promise to revolutionize many scientific fields.
Akarsh Kumar   +6 more
semanticscholar   +1 more source

EDITORIAL: ARTIFICIAL LIFE [PDF]

open access: possibleAdvances in Complex Systems, 2009
No abstract received.
Konstantin Klemm   +2 more
openaire   +2 more sources

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