Filterscape: energy recycling in a creative ecosystem

This paper extends previous work in evolutionary ecosystemic approaches to generative art. Filterscape, adopts the implicit fitness specification that is fundamental to this approach and explores the use of resource recycling as a means of generating coherent sonic diversity in a generative sound work. Filterscape agents consume and deposit energy that is manifest in the simulation as sound. Resource recycling is shown to support cooperative as well as competitive survival strategies. In the context of our simulation, these strategies are recognised by their characteristic audible signatures. The model provides a novel means to generate sonic diversity through de-centralised agent interactions

Two Decades of Evolutionary Art Using Computational Ecosystems and Its Potential for Virtual Worlds

We analyse works of digital art that use a technique from artificial life (ALife) called computational ecosystems (CEs). These are systems running on computers where agents are organized in a hierarchical structure (of a food-chain) and trade token units (of energy and biomass) as a way of promoting community dynamics. We analyse a collection of forty (40) papers communicating works developed in the last two decades. We classify each of these works according to an adapted taxonomy. We then produce a study of cumulative analysis to outline patterns and common features which might define the field. We conclude on the diversity and heterogeneity of the practice, to assert CEs as a multimedia generative tool useful in the construction of bio-mimicking ecosystems as well as in the animation of non-player characters (NPCs) with human-like behaviors in virtual words

Predicting diarrhoea outbreak with climate change

Climate change is expected to exacerbate diarrhoea outbreak in South Africa, a leading cause of morbidity and mortality in the region. In this study, we modelled the impacts of climate change on diarrhoea with machine learning methods. We applied two deep learning techniques, convolutional neural networks (CNNs) and long-short term memory networks (LSTMs); and a support vector machine to predict daily diarrhoea cases over the different South African provinces by incorporating climate information. Generative Adversarial Networks (GANs) was used to generate synthetic data which was used to augment the available dataset. Furthermore, relevance estimation and value calibration (REVAC) was used to tune the parameters of the machine learning algorithms to optimize the accuracy of their predictions. Sensitivity analysis was also performed to investigate the contribution of the different climate factors to the diarrhoea prediction model. The results of the study showed that all three ML methods were appropriate for predicting daily diarrhoea cases with respect to the selected climate variables in each South African province. The ML methods were all able to yield low and similar RMSE. However, the level of accuracy for each model varied across different experiments, with the deep learning models outperforming the SVM model. Among the deep learning techniques, the CNN model performed best when only real-world dataset was used, while the LSTM model outperformed the other models when the real dataset was augmented with synthetic data. Across the provinces, the accuracy of all three ML algorithms improved by at least 30% when data augmentation was implemented. In addition, REVAC improved the accuracy of the CNN model by more than 12% in KwaZulu Natal province. However, the percentage increase in accuracy of the LSTM model was less than 4% in Western Cape province when REVAC was used. Our sensitivity analysis revealed that the most influential climate variables to be considered when predicting outbreak of diarrhoea in South Africa are precipitation, humidity, evaporation and temperature conditions. The result of this study is important for the development of an early warning system for diarrhoea outbreak over South Africa

Applications of Artificial Intelligence in Battling Against Covid-19: A Literature Review

© 2020 Elsevier Ltd. All rights reserved.Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of grave concern for every country around the world. The rapid growth of the pandemic has wreaked havoc and prompted the need for immediate reactions to curb the effects. To manage the problems, many research in a variety of area of science have started studying the issue. Artificial Intelligence is among the area of science that has found great applications in tackling the problem in many aspects. Here, we perform an overview on the applications of AI in a variety of fields including diagnosis of the disease via different types of tests and symptoms, monitoring patients, identifying severity of a patient, processing covid-19 related imaging tests, epidemiology, pharmaceutical studies, etc. The aim of this paper is to perform a comprehensive survey on the applications of AI in battling against the difficulties the outbreak has caused. Thus we cover every way that AI approaches have been employed and to cover all the research until the writing of this paper. We try organize the works in a way that overall picture is comprehensible. Such a picture, although full of details, is very helpful in understand where AI sits in current pandemonium. We also tried to conclude the paper with ideas on how the problems can be tackled in a better way and provide some suggestions for future works.Peer reviewe

For an echology of microbe-artworks : thinking in between art and science

Une entité scientifique, tout en ayant son propre devenir dans le domaine scientifique, s’étend aussi souvent à d’autres domaines d’activité. Parallèlement à la diffusion des découvertes scientifiques, elle peut susciter un intérêt artistique ou conceptuel. Les études sur le microbiome humain ont nourri un tel intérêt pour les microbes et ont encouragé de nombreux artistes à entrer dans un laboratoire de biologie et à produire des oeuvres artistiques avec et à travers les microbes. Ces oeuvres d’art établissent une relation étroite avec les découvertes scientifiques récentes, les procédures et les protocoles, et posent des questions philosophiques sur la vie et la mort, la nature, l’humanité, et les relations entre les êtres vivants. Cette thèse vise à examiner les processus sociaux, techniques, politiques et économiques qui traversent les sciences des microbes et à déterminer comment ils aboutissent dans les oeuvres d’Elaine Whittaker, Tarsh Bates, François-Joseph Lapointe, Günes-Helen Isitan, le collectif Interspecifics, Victoria Shennan, Saša Spačal, Sonja Bäumel, Raphael Kim et Kathy High. Lorsque nous trouvons un microbe dans un contexte particulier, que trouvons-nous d’autre avec lui ? Dans quelles conditions apparaît-il dans une oeuvre d’art et avec quels éléments l’oeuvre compose-t-elle pour produire des effets esthétiques ? Dans cette thèse, l’histoire des microbes considérée du point de vue des formes d’art les mobilisant (ou « microbe-oeuvres d’art » pour microbe-artworks) commence en fait avec des animalcules qui n’étaient pas encore des entités scientifiques à part entière, mais qui présentaient virtuellement les forces qui seraient réunies plus tard sous le terme scientifique de « microbe ». Dans un premier temps, les animalcules, nommés après des observations d’Antonie von Leeuwenhoek, ont suscité l’intérêt de philosophes comme Leibniz et Spinoza et intensifié la curiosité de peintres comme Johannes Vermeer pour les éléments microscopiques de la vision, initiant ainsi des voyages entre les champs scientifiques et artistiques. Cette étude propose de problématiser ces voyages à l’aide du concept d’« échologie », un terme oublié d’une thèse écrite dans les années 1970 par Jean Milet sur la sociologie de Gabriel Tarde. Mais les théories d’autres philosophes tels que Georges Canguilhem, Michel Foucault, Gilles Deleuze, Félix Guattari, Marie-José Mondzain, et Gilbert Simondon, et des penseurs contemporains tels que Thierry Bardini et Brian Massumi sont également mobilisées pour donner à ce terme toute sa cohérence. Selon l’échologie, les entités sont constituées des motifs (patterns) d’interférence et de résonance avec d’autres choses, qui précèdent leur représentation. Ainsi, une 5 entité donnée est un complexe de forces, et son apparition, le résultat de certaines techniques qui la mettent en relation avec d’autres complexes ne peut s’expliquer comme un effet associé à une seule cause, mais se donne comme un effet supplémentaire, un extra-effet ou un surplus qui laisse toujours une trace ou un résidu. D’un point de vue échologique, une microbe-oeuvre d’art s’opère comme une interface qui intègre des potentiels qui se rendent visibles à travers les traces en vertu de multiples processus recoupant les activités scientifiques et les stratégies artistiques. Chaque chapitre de la thèse est ainsi une étape dans un voyage conceptuel expérimental, révélant les dimensions des oeuvres d’art considérées au regard de l’analyse de ces traces. Au cours de ce voyage, les éléments des théories scientifiques concernées, des entretiens avec des artistes, des sorties sur des sites de pratique des arts biologiques, lors d’ateliers, de conférence et d’écoles d’été sont mobilisés comme facteurs contribuant à la construction des champs problématiques dans chaque chapitre. Les microbes considérés comme des objets de beauté apparaissent comme le résultat d’une transformation discursive des sciences biologiques. D’une conception pathogène des microbes aux approches écologiques, l’iconicité des microbes associés aux microbe-images, l’échologie des microbe-sons, le devenir-milieu de certaines microbe-oeuvres d’art, et enfin la question de l’individuation de la pensée, et l’éthique corrélée compris comme le problème de la valorisation des microbes dans des microbe-oeuvres d’art, le devenir-microbe découle de cette transformation discursive à travers le champ artistique.A scientific entity, while having its own becoming in the scientific field, often also spreads to other fields of activity, such as art and philosophy. Microbiome studies fed such an interest towards microbes and encouraged many artists to enter a biology laboratory and produce a work of art with and through microbes. These artworks establish a close relationship with recent scientific findings, procedures and protocols, and ask philosophical questions about life and death, nature, humanness, and the relationships between living beings. This thesis aims to examine the social, technical, political, and economic processes that go through the microbe sciences and determine how they come together in the artworks of Elaine Whittaker, Tarsh Bates, François-Joseph Lapointe, Günes-Helen Isitan, the collective Interspecifics, Victoria Shennan, Saša Spačal, Sonja Bäumel, Raphael Kim, and Kathy High. When we find a microbe in a particular context, what else do we find with it? Under which conditions does it appear in an artwork and which elements does the artwork compose with to produce aesthetic effects? In this thesis, the story of microbes is recounted from the perspective of microbe-artworks and starts with animalcules, the not yet full-fledged scientific entity which virtually present the forces that would be brought together under the scientific term “microbe”. At first, animalcules––named after Antonie van Leeuwenhoek’s observations, attracted the interest of philosophers such as Leibniz and Spinoza and intensified the curiosity of painters such as Johannes Vermeer towards the microscopic elements of seeing, hereby initiating journeys between scientific and artistic fields. This study proposes to problematize these journeys as an “echology”. Echology is a forgotten term first introduced in the ‘70s by Jean Milet in his thesis about the sociology of Gabriel Tarde. Here, the theories of other philosophers such as Georges Canguilhem, Michel Foucault, Gilles Deleuze, Félix Guattari, Marie-José Mondzain, Gilbert Simondon, and contemporary thinkers such as Thierry Bardini and Brian Massumi are mobilized in order to give this term its full consistency. According to echology, entities consist of patterns of interference and resonance with other things, which arise before their representation. Thus, a given entity is a complex of forces and its apparition the result of certain techniques which put it into relation with other complexes cannot be explained as an effect associated with a single cause but gives itself as an extra-effect or surplus that always leaves a remainder. From an echological perspective, a microbe- 7 artwork operates as an interface that incorporates potentials that make themselves visible through the remainders by virtue of multiple processes cutting across scientific activities and artistic strategies. Each chapter of the thesis is thus a way station in a conceptual journey of experimentation, revealing the dimensions of the artworks under consideration with respect to the analysis of these remainders. During this journey, elements of scientific theories, interviews with artists, field trips to sites of practice of the biological arts, related workshops and summer schools are mobilized as contributory factors of the construction of the problematic fields in each chapter. Microbes considered as objects of beauty hence appear as the result of discursive transformation of biological sciences. From earlier pathogenic conceptions of microbes to contemporary ecological approaches, the iconicity of microbes associated with microbe-images, echology of microbe-sounds, becoming-milieu of certain microbe-artworks, and finally, the question of individuation of thought and the correlated ethics understood as the problem of valuation of microbe-artworks, the becoming-microbe stems from this discursive transformation through the art field

Association of Architecture Schools in Australasia

"Techniques and Technologies: Transfer and Transformation", proceedings of the 2007 AASA Conference held September 27-29, 2007, at the School of Architecture, UTS