Code Issues Pull requests A selection of generative art scripts written in Python art python images scripts cairo python3 generative-art vector-graphics generative artist algorithmic-art 2d-graphics algorithmi
The central hypothesis of this paper is that the concepts and methods of psychoanalysis can be applied to the study of AI and human/AI interaction. The paper connects three research fields: machine behavior approach, psychoanalysis and anthropology of sc
Following the tradition of architecture as a conglomeration of various design fields - engineering, theory, art, and recently, computation - the challenge of this book is to present a concept that, like architecture, is a unifying theme for many diverse disciplines. An algorithm is not only a ...
Algorithmic Architecture is not a typical theory-based architectural book; it is not a computer programming or language tutorial book either. It contains a series of provocative design projects, and yet it is not just a design or graphic art book per se. Following the tradition of architecture ...
In order to begin to realize hardware/software co-assurance at scale, we have conducted several experiments employing a state-of-the-art toolchain, due to Russinoff and O’Leary, and originally designed for use in floating-point hardware verification [27], to determine its suitability for the ...
2) and a visual programming interface (CAT-VPI) for creating sequences of commands (see Fig. 3). The common top toolbar allows users to switch between interfaces, view results for completed schemas (success, failure, surrender), and check the ongoing schema score. Download: Download high-...
Durand: 1760-1834: Art and Science of Architecture Rizzoli, New York (1987) Google Scholar Xiong et al., 2013 L. Xiong, W. Xiong, H. Zhang Gulou structure grammar and its computer implementation Proceedings of the 31st International Conference on Education and Research in Computer Aided ...
Probabilistic programming with PyMC3 Defining and training machine learning models using PyMC3 How to run state-of-the-art sampling methods to conduct approximate inference Bayesian ML applications to compute dynamic Sharpe ratios, dynamic pairs trading hedge ratios, and estimate stochastic volatility 11...
Probabilistic programming with PyMC3 Defining and training machine learning models using PyMC3 How to run state-of-the-art sampling methods to conduct approximate inference Bayesian ML applications to compute dynamic Sharpe ratios, dynamic pairs trading hedge ratios, and estimate stochastic volatility ...
stemming algorithm,stemmer- an algorithm for removing inflectional and derivational endings in order to reduce word forms to a common stem Based on WordNet 3.0, Farlex clipart collection. © 2003-2012 Princeton University, Farlex Inc. Want to thank TFD for its existence?Tell a friend about us...