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The Future of Art in a Postdigital Age
In The Future of Art in a Postdigital Age, artist and educator Mel Alexenberg offers a vision of a postdigital future that reveals a paradigm shift from the Hellenistic to the Hebraic roots of Western culture. He ventures beyond the digital to explore postdigital perspectives rising from creative encounters among art, science, technology and human consciousness. The interrelationships between these perspectives demonstrate the confluence between postdigital art and the dynamic, Jewish structure of consciousness. Alexenberg’s pioneering artwork – a fusion of spiritual and technological realms – exemplifies the theoretical thesis of this investigation into interactive and collaborative forms that imaginatively envisages the vast potential of art in a postdigital future.
Artificial Neural Networks - ICANN 2001
This book is based on the papers presented at the International Conference on Arti?cial Neural Networks, ICANN 2001, from August 21–25, 2001 at the - enna University of Technology, Austria. The conference is organized by the A- trian Research Institute for Arti?cal Intelligence in cooperation with the Pattern Recognition and Image Processing Group and the Center for Computational - telligence at the Vienna University of Technology. The ICANN conferences were initiated in 1991 and have become the major European meeting in the ?eld of neural networks. From about 300 submitted papers, the program committee selected 171 for publication. Each paper has been reviewed by three program committee m...
NASA Tech Briefs
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Decision Technologies For Financial Engineering - Proceedings Of The Fourth International Conference On Neural Networks In The Capital Markets (Nncm '96)
This volume selects the best contributions from the Fourth International Conference on Neural Networks in the Capital Markets (NNCM). The conference brought together academics from several disciplines with strategists and decision makers from the financial industries.The various chapters present and compare new techniques from many areas including data mining, information systems, machine learning, and statistical artificial intelligence. The volume focuses on evaluating their usefulness for problems in computational finance and financial engineering.Applications — risk management; asset allocation; dynamic trading and hedging; forecasting; trading cost control. Markets — equity; foreign exchange; bond; commodity; derivatives; Approaches — data mining; statistical AI; machine learning; Monte Carlo simulation; bootstrapping; genetic algorithms; nonparametric methods; fuzzy logic.The chapters emphasizes in-depth and comparative evaluation with established approaches.
