Aberrations introduced by the atmospheric turbulence in large telescopes are compensated using adaptive optics systems, where the use of deformable mirrors and multiple sensors relies on complex control systems. Recently, the development of larger scales of telescopes as the E-ELT or TMT has created a computational challenge due to the increasing complexity of the new adaptive optics systems. The Complex Atmospheric Reconstructor based on Machine Learning is an algorithm based on artificial neural networks, designed to compensate the atmospheric turbulence. (...) During recent years, the use of GPUs has been proved to be a great solution to speed up the learning process of neural networks, and different frameworks have been created to ease their development. The implementation of CARMEN in different Multi-GPU frameworks is presented in this paper, along with its development in a language originally developed for GPU, like CUDA. This implementation offers the best response for all the presented cases, although its advantage of using more than one GPU occurs only in large networks. (shrink)

A special interest in optics among various seventeenth-century painters living in the Dutch city of Delft has intrigued historians, including art historians, for a long time. Equally, the impressive career of the Delft microscopist Antoni van Leeuwenhoek has been studied by many historians of science. However, it has never been investigated who, at that time, had access to the mathematical and optical knowledge necessary for the impressive achievements of these Delft practitioners. We have tried to gain insight into Delft (...) as a ‘node’ of optical knowledge by following the careers of three minor local figures in early seventeenth-century Delft. We argue that through their work, products, discussions in the vernacular and exchange of skills, rather than via learned publications, these practitioners constituted a foundation on which the later scientific and artistic achievements of other Delft citizens were built. Our Delft case demonstrates that these practitioners were not simple and isolated craftsmen; rather they were crucial components in a network of scholars, savants, painters and rich virtuosi. Decades before Vermeer made his masterworks, or Van Leeuwenhoek started his famous microscopic investigations, the intellectual atmosphere and artisanal knowledge in this city centred on optical topics. (shrink)

The article investigates how users in the Czech wireless network community invented a technology for sending data over visible, red light. For five years, this was the most affordable method for connecting computers. The development of this technology was guided by the idea that it should be controlled by its users. With reference to this experiment, it is argued that a shared ethical and/or political vision can contribute to the establishment of norms within user communities encouraging their members to share (...) information with each other. Thus, it is suggested that ethical and political convictions can be crucial for enabling collective innovation processes. This highlighting of normativity is intended as a complement to the common premise in Innovation Studies that users innovate to satisfy unfulfilled needs. In opposition to this view, it is argued that the needs of users are not a constant but something which emerge together with the transformation of the user community and the technology in question. Particular focus is placed on the tension between, on one hand, the norms and ethical— political motives of the user community, and, on the other hand, the needs satisfied through product development, both stemming from the same innovation process. (shrink)

Using optical add–drop multiplexer/remover multiplexer (OADM), it is possible to add or remove wavelengths and change or route them through the various nodes and networks. At this moment, key problems in add–drop multiplexer (ADM) are the bandwidth, modulation format, and reuse wavelength. In this article, the Optisystem software simulation is used as a platform to design, test, and verify the method applied to the current work; the OADM is proposed based on the metro network to get distribution between (...) nodes over a transmission link; OADM analysis was presented with four channels (193.1, 193.2, 193.3, and 193.4 THz) at total bandwidth of 1.6 Tb/s, none-return-to-zero (NRZ), and return to zero coding types. Experiment one shows that the average output power is −17.997 dBm, the average drop power is −17.997 dBm, and the average add power is −18.338 dBm, the average gain is −0.0429 dB, the average noise figure is 0 dB, the average power input signal is 10.679 dBm, the average of power output signal is 10.633 dBm, and the average output optical signal-to-noise ratio (OSNR) is 0 dB, However, the second experiment shows that the average output power is −24.238 dBm, the average drop power is −24.288 dBm, and the average add power is −24.753 dBm, the average gain is −0.0417 dB, the average noise figure is 0 dB, average power input signal is 7.691 dBm, average of power output signal is 7.677 dBm, and the average output OSNR 0 dB. The system supports four input channels, four add channels, four output channels, and four drop channels. The results are acceptable after three spans of Solitons fiber with 600 km length, 200 km for each span. Nonetheless, it is believed that it is well justified to adopt these schemes in the current optical network with a low cost for overall expenditure. (shrink)

The submarine optical-fiber cable is a large connectivity infrastructure, which plays an important role in international communication, cyber-physical systems, and even national security. Although submarine cable network interruption may cause serious consequences, researching its vulnerability has not attracted much attention. This paper proposes a quantitative method to measure the vulnerability of the submarine cable network and evaluates the influence of the upcoming trans-Arctic cable system on the submarine cable network of mainland China. To address this issue, first, the submarine (...) cable network of mainland China is constructed. Further, methodology based on complex network and geospatial perspective is proposed to simulate the changes of network eigenvalues under different attacks and to quantitatively analyze the variation degree of network vulnerability. With the proposed method, the vulnerability of the submarine cable network of mainland China before and after construction of the trans-Arctic cable system is compared. The results reveal the key node countries and sea channels of the submarine cable network of mainland China and show the significance of the TAC system. (shrink)

Abnormal behaviour detection algorithm needs to conduct behaviour analysis on the basis of continuous video inclination tracking, and the robustness of the algorithm is reduced for the occlusion of moving targets, the occlusion of the environment, and the movement of targets with the same colour. For this reason, the optical flow information between RGB images and video frames is used as the input of the network in view of group behaviour. Then, the direction, velocity, acceleration, and energy of the (...) crowd were weighted and fused into a global optical flow descriptor. At the same time, the crowd trajectory map is extracted from the original image of a single frame. Following, in order to realize the detection of large displacement moving target and solve the problem that the traditional optical flow algorithm is only suitable for the detection of displacement moving target, a video abnormal behaviour detection algorithm based on the double-flow convolutional neural network is proposed. The network uses two network branches to learn spatial dimension information and temporal dimension information, respectively, and uses short- and long-time neural network to model the dependency relationship between long-time video frames, so as to obtain the final behaviour classification results. Simulation test results show that the proposed method can achieve good recognition effect on multiple datasets, and the performance of abnormal behaviour detection can be significantly improved by using interframe motion information. (shrink)

A major challenge for semantic video segmentation is how to exploit the spatiotemporal information and produce consistent results for a video sequence. Many previous works utilize the precomputed optical flow to warp the feature maps across adjacent frames. However, the imprecise optical flow and the warping operation without any learnable parameters may not achieve accurate feature warping and only bring a slight improvement. In this paper, we propose a novel framework named Dynamic Warping Network to adaptively warp the (...) interframe features for improving the accuracy of warping-based models. Firstly, we design a flow refinement module to optimize the precomputed optical flow. Then, we propose a flow-guided convolution to achieve the adaptive feature warping based on the refined optical flow. Furthermore, we introduce the temporal consistency loss including the feature consistency loss and prediction consistency loss to explicitly supervise the warped features instead of simple feature propagation and fusion, which guarantees the temporal consistency of video segmentation. Note that our DWNet adopts extra constraints to improve the temporal consistency in the training phase, while no additional calculation and postprocessing are required during inference. Extensive experiments show that our DWNet can achieve consistent improvement over various strong baselines and achieves state-of-the-art accuracy on the Cityscapes and CamVid benchmark datasets. (shrink)

A working hypothesis of computationalism is that Mind arises, not from the intrinsic nature of the causal properties of particular forms of matter, but from the organization of matter. If this hypothesis is correct, then a wide range of physical systems (e.g. optical, chemical, various hybrids, etc.) should support Mind, especially computers, since they have the capability to create/manipulate organizations of bits of arbitrarily complexity and dynamics. In any particular computer, these bit patterns are quite physical, but their particular (...) physicality is considered irrelevant (since they could be replaced by other physical substrata). (shrink)

With the rapid development of emerging technologies such as electric vehicles and high-speed railways, the insulated gate bipolar transistor is becoming increasingly important as the core of the power electronic devices. Therefore, it is imperative to maintain the stability and reliability of IGBT under different circumstances. By predicting the junction temperature of IGBT, the operating condition and aging degree can be roughly evaluated. However, the current predicting approaches such as optical, physical, and electrical methods have various shortcomings. Hence, the (...) backpropagation neural network can be applied to avoid the difficulties encountered by conventional approaches. In this article, an advanced prediction model is proposed to obtain accurate IGBT junction temperature. This method can be divided into three phases, BP neural network estimation, interpolation, and Kalman filter prediction. First, the validities of the BP neural network and Kalman filter are verified, respectively. Then, the performances of them are compared, and the superiority of the Kalman filter is proved. In the future, the application of neural networks or deep learning in power electronics will create more possibilities. (shrink)

The technology of undersea communications, from stranded-wire telegraph cables in the 1850s to fiber-optic cables at the end of the twentieth century, and its social, political, and economic impact. By the end of the twentieth century, fiber-optic technology had made possible a worldwide communications system of breathtaking speed and capacity. This amazing network is the latest evolution of communications technologies that began with undersea telegraph cables in the 1850s and continued with coaxial telephone cables a hundred years later. Communications under (...) the Seas traces the development of these technologies and assesses their social, economic, and political effects. If we cannot predict the ultimate consequences of today's wired world--its impact on economic markets, free expression, and war and peace--or the outcome of the conflict between wired and wireless technology, we can examine how similar issues have been dealt with in the past. The expert contributors to this volume do just that, discussing technical developments in undersea cables, management of the cables by private and public interests, and the impact on military and political activities. Chapters cover such topics as the daring group of nineteenth-century entrepreneurs who wove a network of copper wires around the world ; the opening of the telegraphic network to general public use; the government- and industry-forced merger of wireless and cable companies in Britain; and the impact of the cable network on diplomacy during the two world wars. (shrink)

Aiming at the problem that it is difficult to balance the speed and accuracy of human behaviour recognition, this paper proposes a method of motion recognition based on random projection. Firstly, the optical flow picture and Red, Green, Blue picture obtained by the Lucas-Kanade algorithm are used. Secondly, the data of optical flow pictures and RGB pictures are compressed based on a random projection matrix of compressed sensing, which effectively reduces power consumption. At the same time, based on (...) random projection compression data, it can effectively find the optimal linear representation to reconstruct training samples and test samples. Thirdly, a multichannel 3D convolutional neural network is proposed, and the multiple information extracted by the network is fused to form an output recognizer. Experimental results show that the algorithm in this paper significantly improves the recognition rate of multicategory actions and effectively reduces the computational complexity and running time of the recognition algorithm. (shrink)

In the area of machine learning, different techniques are used to train machines and perform different tasks like computer vision, data analysis, natural language processing, and speech recognition. Computer vision is one of the main branches where machine learning and deep learning techniques are being applied. Optical character recognition is the ability of a machine to recognize the character of a language. Pashto is one of the most ancient and historical languages of the world, spoken in Afghanistan and Pakistan. (...) OCR application has been developed for various cursive languages like Urdu, Chinese, and Japanese, but very little work is done for the recognition of the Pashto language. When it comes to handwritten character recognition, it becomes more difficult for OCR to recognize the characters as every handwritten character’s shape is influenced by the writer’s hand motion dynamics. The reason for the lack of research in Pashto handwritten character data as compared to other languages is because there is no benchmark dataset available for experimental purposes. This study focuses on the creation of such a dataset, and then for the evaluation purpose, a machine is trained to correctly recognize unseen Pashto handwritten characters. To achieve this objective, a dataset of 43000 images was created. Three Feed Forward Neural Network models with backpropagation algorithm using different Rectified Linear Unit layer configurations were trained and tested with this dataset. The simulation shows that Model 1 achieved accuracy up to 87.6% on unseen data while Model 2 achieved an accuracy of 81.60% and 3% accuracy, respectively. Similarly, loss was the lowest for Model 1 with 0.15 and 3.17 for training and testing, followed by Model 2 with 0.7 and 4.2 for training and testing, while Model 3 was the last with loss values of 6.4 and 3.69. The precision, recall, and f-measure values of Model 1 were better than those of both Model 2 and Model 3. Based on results, Model 1 is found to be the most efficient as compared to the other two models in terms of accuracy to recognize Pashto handwritten characters. (shrink)

The new business opportunities and prospects emerging in Europe within the Common Market and other Western and European countries also raise important ethical challenges. This work comprises a collection of ethical insights to enhance the conduct of business in an evolving Europe.

Evidence for a dichotomy between the planning of an action and its on-line control in humans is reviewed. This evidence suggests that planning and control each serve a specialized purpose utilizing distinct visual representations. Evidence from behavioral studies suggests that planning is influenced by a large array of visual and cognitive information, whereas control is influenced solely by the spatial characteristics of the target, including such things as its size, shape, orientation, and so forth. Evidence from brain imaging and neuropsychology (...) suggests that planning and control are subserved by separate visual centers in the posterior parietal lobes, each constituting part of a larger network for planning and control. Planning appears to rely on phylogenetically newer regions in the inferior parietal lobe, along with the frontal lobes and basal ganglia, whereas control appears to rely on older regions in the superior parietal lobe, along with the cerebellum. Key Words: action; apraxia; control; illusions; optic ataxia; PET; planning; reaching;. (shrink)

Adaptive optics are techniques used for processing the spatial resolution of astronomical images taken from large ground-based telescopes. In this work, computational results are presented for a modified curvature sensor, the tomographic pupil image wavefront sensor, which measures the turbulence of the atmosphere, expressed in terms of an expansion over Zernike polynomials. Convolutional neural networks are presented as an alternative to the TPI-WFS reconstruction. This technique is a machine learning model of the family of artificial neural networks, which (...) are widely known for its performance as modeling and prediction technique in complex systems. Results obtained from the reconstruction of the networks are compared with the TPI-WFS reconstruction by estimating errors and optical measurements. The reconstructed wavefronts from both techniques are compared for wavefronts of 153 Zernike modes. For this case, a detailed comparison and grid search to find the most suitable neural network is performed, searching between multi-layer perceptron, CNN and recurrent networks topologies. In general, the best network was a CNN trained for TPI-WFS reconstruction, achieving better performance than the reconstruction software from TPI-WFS in most of the turbulent profiles, but the most significant improvements were found for higher turbulent profiles that have the lowest r0 values. (shrink)

We used optical neuroimaging to explore the extent of functional overlap between working memory (WM) networks involved in language and Early Stone Age toolmaking behaviors. Oldowan tool production activates two verbal WM areas, but the functions of these areas are indistinguishable from general auditory WM, suggesting that the first hominin toolmakers relied on early precursors of verbal WM to make simple flake tools. Early Acheulian toolmaking elicits activity in a region bordering on Broca’s area that is involved in (...) both visual and verbal WM tasks. The sensorimotor and mirror neurons in this area, along with enhancement of general WM capabilities around 1.8 million years ago, may have provided the scaffolding upon which a WM network dedicated to processing exclusively linguistic information could evolve. In the road map going forward, neuro-archaeologists should investigate the trajectory of WM over the course of human evolution to better understand its contribution to language origins. (shrink)

Introduction. Innovationism in various areas of society has changed both the natural and social environment. The change speed in the new infor- mation and communication field is the reason for many questions related to studying the problems of society and the machine, finding out the place of artificial intelligence in social relations. These pro- cesses stimulated the philosophical research, the subject of which was man, modern technologies, scenarios for the development of society, socio- cultural and political-legal forms of its organization. (...) Since the 90s of the twentieth century in the West and later in Russia, a transhumanistic concept has been formed, which connects man, society and technology in a special way. Representatives of transhumanism study the technical develop- ments of human immortality and build models of the perfect man, pursuing as a goal, his deliver- ance from suffering and disease. Transhumanistic perspectives actualize the need for a thorough, constructive and critical assessment of the possible advantages and risks of technological development, and its impact on the political and legal structure. In this regard, the ability to see and isolate the features of this process and subsequent reflection is fundamentally important. The purpose of the article is to consider political and legal transformations in the context of the interaction of modern technologies and soci- ety through the prism of transhumanistic perspec- tives, to identify possible directions of philosophical reflection of political and legal modes of modernity. Methods. To achieve the research goal, general scientific methods of cognition were used: analysis and synthesis, induction, deduction, comparison, abstraction. The article also applied institutional- functional and system-structural approaches, the method of interpretation and content analysis. The analysis of public opinion and special labeling of artificial intelligence was carried out with the help of appealing to network content (social networks, blogs, and forums). Communication channels reproduce messages mentioning modern technolo- gies from the point of view of the philistine world- view based on stereotypes broadcast in society and the influence of popular culture. Content analysis revealed the relevance of the spectrum of labeling, relative to artificial intelligence systems, includ- ing the verbs “create”, “destroy”, “help”, “enslave”. Regarding the sphere of labor, law and politics, the positions differ, from outright alarmism to utopian images of social well-being. Scientific novelty of the study. The article analyzes the prospects of considering the phenom- enon of social transformations, the forms of their representation through political and legal views as exemplified by transhumanism. Results. The author attempts to give a comprehen- sive description of social changes in the field of public administration, legal regulation, legal per- sonality and legal responsibility, social equality of participants in legal relations through the specific refraction of these social phenomena in transhu- manistic ideas. The spectrum of the main problems in the sphere of interests of the transhumanistic worldview is listed. Conclusion. Turning to modernization strategies on the example of transhumanism is a natural and necessary need in the political and legal sphere, in particular. In the course of the analysis, a wide range of problems were identified that actualize the social and axiological and anthropological optics of the research. Diverse forms of transhumanistic political trends act as manifestations of socio-legal reflection on the intensification of innovation- ism, which is capable of radically changing human nature. (shrink)

The article reflects upon the observational practices and methods developed by the early exponents of ethology committed to naturalistic field study and explores how their approaches and techniques influenced a wider field of popular natural-history filmmaking and photography. In doing so, my focus is upon three aspects of ethological field studies: the socio-technical devices used by ethologists to bring birds closer to them, the distinctive observational and representational practices which they forged, and the analogies they used to codify behaviour. This (...) assemblage of elements included hides or screens from which to watch wild birds without disturbing them, optics to extend human vision, pens and paper to sketch and fix patterns of behaviour, watches to record timings, photography to capture action and freeze movement, and illustration and photographs to visualize behaviour. Carried through natural-history networks, the practices, methods and theories of ethologists like Huxley and Tinbergen influenced popular natural-history filmmaking and photography more broadly from the 1940s, driving a behavioural turn in these cultural practices. This popularization of the ‘ethological eye’ was further facilitated by the convergence of socio-technical devices, forms of observation and dramatization in the work of the early exponents of naturalistic field studies of birds and the popular filmmakers. (shrink)

In several experimental conditions, neuronal excitation at the perirhinal cortex (PC) does not propagate to the entorhinal cortex (EC) due to a “wall” of inhibition, which may help to create functional coupling and un‐coupling of the PC and EC in the medial temporal lobe. However, little is known regarding the coupling control process. Herein, we propose that the deep layer of area 35 in the PC plays a pivotal role in opening the gate for coupling, thus allowing the activity in (...) the PC to propagate to the EC. Using voltage‐sensitive dye imaging for the brain slices of rodents, we show that a slowly inactivating potassium conductance in this area is essential to induce excitation overtaking the inhibitory control. This coupling between the distinct neural circuits persists for at least 1 h. We elucidate further implications of this network‐level plastic behavior and its mechanism. (shrink)

Previous studies of the history of optics reveal that the confrontation between the emission theory of light and the undulatory theory of light in Britain occupied a considerable period during the early nineteenth century. After the majority of British physicists accepted the undulatory theory in the mid-1830s a few emissionists in Britain did not immediately surrender. They continued to fight a rear-guard action against the undulatory theory, hoping that someday they could reinstate their theory.’ The longevity of the confrontation between (...) the emission and the undulatory theory is consistent with recent philosophical and sociological accounts of science, which expect scientific controversy to last a considerable time. Lakatos’s philosophical account, for example, holds that a degenerating theory does not disappear immediately and may revive at any time through a burst of ‘heuristic power’. But this account only allows one universal standard-the verification of excess empirical content-as the basis for both the generation and the closure of scientific controversies.’ On the other hand, sociological accounts such as actor-network theory have also done much to dispel the impression that rapid closure is inevitable in scientific controversies. But perhaps they risk a new orthodoxy: that controversy itself is inevitable. (shrink)

Most philosophers appear to have ignored the distinction between the broad concept of Virtual Machine Functionalism (VMF) described in Sloman&Chrisley (2003) and the better known version of functionalism referred to there as Atomic State Functionalism (ASF), which is often given as an explanation of what Functionalism is, e.g. in Block (1995). -/- One of the main differences is that ASF encourages talk of supervenience of states and properties, whereas VMF requires supervenience of machines that are arbitrarily complex networks of (...) causally interacting (virtual, but real) processes, possibly operating on different time-scales, examples of which include many different procesess usually running concurrently on a modern computer performing various tasks concerned with handling interfaces to physical devices, managing the file system, dealing with security, providing tools, entertainments, and games, and possibly processing research data. Another example of VMF would be the kind of functionalism involved in a large collection of possibly changing socio-economic structures and processes interacting in a complex community, and yet another is illustrated by the kind of virtual machinery involved in the many levels of visual processing of information about spatial structures, processes, and relationships (including percepts of moving shadows, reflections, highlights, optical-flow patterns and changing affordances) as you walk through a crowded car-park on a sunny day: generating a whole zoo of interacting qualia. (Forget solitary red patches, or experiences thereof.) -/- Perhaps VMF should be re-labelled "Virtual MachinERY Functionalism" because the word 'machinery' more readily suggests something complex with interacting parts. VMF is concerned with virtual machines that are made up of interacting concurrently active (but not necessarily synchronised) chunks of virtual machinery which not only interact with one another and with their physical substrates (which may be partly shared, and also frequently modified by garbage collection, metabolism, or whatever) but can also concurrently interact with and refer to various things in the immediate and remote environment (via sensory/motor channels, and possible future technologies also). I.e. virtual machinery can include mechanisms that create and manipulate semantic content, not only syntactic structures or bit patterns as digital virtual machines do. -/- Please note: Click on the title above or the link below to read the paper. I prefer to keep all my papers freely accessible on my web site so that I can correct mistakes and add improvements. -/- http://www.cs.bham.ac.uk/research/projects/cogaff/misc/vm-functionalism.html -/- This is now part of the Meta-Morphogenesis project: http://www.cs.bham.ac.uk/research/projects/cogaff/misc/meta-morphogenesis.html. (shrink)

The embargo on touching in museums is increasingly being brought into question, not least by blind activists who are calling for greater access to collections. The provision of opportunities to touch could be read as a potential conflict between established optic knowledge and illicit haptic experience, between the conservation of objects and access to collections. Instead I suggest that touch is not necessarily other to the museum; rather, the status of who does the touching and knowing is crucial and not (...) the use of touch per se. It is expert territory and vested academic interests that are at stake here. Using Bruno Latour’s (1993) conceptions of hybrid networks and purified zones of academic practice, I then explore what the unacknowledged existence of touch means for museums and for notions of authority more generally. I suggest that if the apparent boundaries of disciplines are unconvincing in practice, then the possibility of expert knowledge is seriously undermined. Blind people’s demand for access through touch is not then a challenge of one paradigm to another but implicitly questions the accreditation of authority itself. As such it forms part of a wider institutional shift with regard to expertise and an increased need for negotiating between different conceptual frameworks. The ocularcentric bias of museums is increasingly being questioned by blind and visually impaired visitors who emphasize touch as a learning and aesthetic experience. This challenge is contentious not least because it ostensibly brings the individuals’ rights of access into direct conflict with museum conservation. I argue that concerns over conservation can, however, mask and serve to legitimate preconceptions about who should have access to collections; what counts as damage or dirt; and the means by which art and artefacts can be understood or enjoyed. It is expertise rather than the conservation of objects which is at stake. This article suggests that in campaigning for access through touch, blind people physically move beyond the barriers which reserve contact for the museum elite and simultaneously establish the viability of learning in a way that is not sanctioned by the art historical community. Thus resistance to touch in museums is not so much a concern for preservation as a defence of territory and expertise. (shrink)

Buildings are solid, monolithic, static structures of steel, stone and glass. Buildings are at their most dynamic during the phases of construction and ossify from the point of completion. They occupy a different timescale to the rest of us, unlike the mayfly that enacts its lifespan in the space of a day, or our three score and ten, buildings emerge from a long gestation to face the elements for periods that can span a thousand years. Or they used to - (...) increasingly the contemporary built environment ebbs and flows, generating a dynamically changing landscape as buildings are designed, constructed and demolished in the time it used to take to construct a model. This state of flux is enhanced by the addition of surveillance systems, telematic communication networks and environmental monitoring and control technologies. All these factors provide a new tangible dimensionality to contemporary architecture. Arch-OS is an ‘operating system’ that harnesses these new architectural, technological and social dimensions. Arch-OS, ‘software for buildings’, has been developed to manifest the social, technological and environmental life of a building and provide a living laboratory for cultivating transdisciplinary knowledge. Arch-OS buildings will be permanently in a state of flux. By feeding on the diverse forms of dynamic data that are generated by a building, its environment and its occupants, Arch-OS transforms the architect’s drawings, the brick, steel, glass and fibre-optic infrastructure into a living, breathing environment. Arch- OS provides users of buildings with a spatial and temporal consciousness, essentially re-programming human activity through a heightened social, architectural awareness. Arch-OS combines a rich mix of the physical and virtual into a new dynamic architecture, an ‘intelligent’ entity, that interacts, responds and anticipates: Arch-OS is a nervous system for multidimensional buildings. ‘Soft Buildings’ explores some of the ‘dimensions’ made manifest by Arch-OS. Specifically the generation of new kinds of space, a new kind of model, generated by a soft building. (shrink)

An original quantum foundations concept of a deep learning computational Universe is introduced. The fundamental information of the Universe (or Triuniverse)is postulated to evolve about itself in a Red, Green and Blue (RGB) tricoloured stable self-mutuality in three information processing loops. The colour is a non-optical information label. The information processing loops form a feedback-reinforced deep learning macrocycle with trefoil knot topology. Fundamental information processing is driven by ψ-Epistemic Drive, the Natural appetite for information selected for advantageous knowledge. From (...) its substrate of Mathematics, the knotted information processing loops determine emergent Physics and thence the evolution of super-emergent Life (biological and artificial intelligence). RGB-tricoloured information is processed in sequence in an Elemental feedback loop (R), then an Operational feedback loop (G), then a Structural feedback loop (B) and back to an Elemental feedback loop (R), and so on around the trefoil in deep learning macrocycles. It is postulated that hierarchical information correspondence from Mathematics through Physics to Life is mapped and conserved within each colour. The substrate of Mathematics has RGB-tricoloured feedback loops which are respectively Algebra (R), Algorithms (G) and Geometry (B). In Mathematics, the trefoil macrocycle is Algebraic Algorithmic Geometry and its correlation system is a Tensor Neural Knot Network enabling Qutrit Entanglement. Emergent Physics has corresponding RGB-tricoloured feedback loops of Quantum Mechanics (R), Quantum Deep Learning (G) and Quantum Geometrodynamics(B). In Physics, the trefoil macrocycle is Quantum Intelligent Geometrodynamics and its correlation system is Quantum Darwinism. Super-emergent Life has corresponding RGB-tricoloured loops of Variation (R), Selection (G) and Heredity (B). In the evolution of Life, the trefoil macrocycle is Variational Selective Heredity and its correlation ecosystem is Darwin’s ecologically “Entangled Bank”. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Reviewed by:Explorations in Ancient and Modern Philosophy by Myles F. BurnyeatAllison Piñeros Glasscock and Elizabeth C. Shaw and Staff*BURNYEAT, Myles F. Explorations in Ancient and Modern Philosophy, vol. 4. Cambridge: Cambridge University Press, 2022. xii + 395 pp. Cloth, $120.00The eleven essays in this collection were originally published while Burnyeat was at All Souls College, Oxford (1996–2006) and during his subsequent retirement. Like volume 3 of the same series, (...) the collection was published posthumously, with editorial work undertaken by Carol Atack, Malcolm Schofield, and David Sedley. Part I contains seven essays on topics in ontology and epistemology; part II contains four essays on physics and optics. The figures examined include the usual suspects—Plato and Aristotle (plus an appearance by Aquinas)—but Burnyeat also draws our attention to some less appreciated accomplices to the ancient philosophical project: the Platonist commentator Numenius of Apamea, the Pythagorean Archytas of Tarentum, and Anaxarchus of Abdera, a follower of Democritus. The result is a collection that showcases one of Burnyeat's greatest strengths: his ability to identify the clues left for us in ancient texts and to produce from them compelling and exquisitely detailed accounts of what ancient philosophers were thinking and why.One of the final papers of the volume illustrates Burnyeat's detective acumen. "Archytas and optics" starts from the following question: Why is optics absent from the mathematical curriculum Plato sketches in the Republic? Burnyeat hypothesizes that if mathematical optics existed when the Republic was written, Plato likely excised it from the curriculum on the grounds that the discipline would lead the student to focus on visible things and their appearances. The bulk of the paper is devoted to establishing the antecedent of this conditional. Burnyeat argues that mathematical optics did exist at the time of the Republic's writing, and he posits the noncanonical Pythagorean Archytas as its founder. To recognize the significance of this lacuna in the Republic's curriculum and to provide a persuasive identification of the founder of an entire discipline is already to make a substantial contribution to scholarship. But how Burnyeat arrives at his central conclusion is equally impressive. He takes the reader on a tour of Aristotle, Plato, and Iamblichus, fragment 4 of Archytas, and the Apologia of Apuleius (whom readers might better recognize as the novelist responsible for The Golden [End Page 345] Ass). The result is not only an answer to the paper's central question, but a deeper understanding of the broader intellectual network in which canonical figures like Plato and Aristotle operated.No fragment is too small to catch Burnyeat's notice, nor is any line in a manuscript too faint. Part I of the collection includes Burnyeat's famous paper "Kinēsis vs. energeia: a much-read passage in (but not of) Aristotle's Metaphysics." The central argument is that Metaphysics 9.6.1048b18–35 is out of place. It was written by Aristotle for a different context and should not be printed in book 9. Because this article is so well known, I will not dwell on the details of the argument, but once again Burnyeat's methodology is worthy of comment. The first part of the paper offers a careful examination of the Metaphysics's manuscript tradition that attends both to what is present and to what is absent. For example, we learn that the focus passage is missing from an entire branch of the tradition, which Burnyeat suggests is the result of a learned excision. Later, Burnyeat develops a psychological sketch of the scribe of manuscript Ab beginning from the observation that a faint line is drawn through part of the focus passage. He argues that the scribe's motivation is not disapproval of the passage's contents but a desire to keep his text and commentary in sync. Observations like these provide the foundation for Burnyeat's thesis about the philosophical import of the focus passage, and they demonstrate that the physical record can be just as vital to reconstructions of ancient philosophy as the words that the record preserves.Occasionally, Burnyeat offers more direct admonitions to his readers about how to approach ancient philosophy. A key lesson... (shrink)

If the image of the future has already been colonized by the inevitability of a planetary automation or by the Singularity, is it at all possible to re-introduce alienness in machine thinking beyond a master pattern that knows it all? As contemporary forms of artificial intelligence such as neural nets experiment with predictive learning generating counter-factual models for what has not yet been thought, they have also become productive of machine percepts and concepts. These are not of an optical (...) nature, but are exclusively algorithmic. However, as opposed to the master pattern of the Singularity aiming to debunk logic from thinking, this article argues that the growth of the automated network is never given: the indeterminacy of fallibility in the trial-and-error efforts to predict what has not yet been programmed – known – constantly defies the master pattern from within the system. This article draws on Octavia E. Butler’s farsighted story of Mary in Mind of My Mind as an example of the alien formation of an intuitive patterning, and of alien image-models ready to take over the transcendental schema of the Patternist. (shrink)

Modern information technologies rely on electronic and optical signals transmitting data, expressions, and other signals around the world. Digital networks account for trillions of dollars worth of worldwide commerce, but the nature of their objects is complicated and has proven to be a challenge for customary and legal modes of ownership for expressions. Intellectual property law governed expressions and inventions for the past couple hundred years, but software and other digital objects, due to their ephemeral and non-physical natures, (...) pose some ontological, ethical, and regulatory challenges discussed in this chapter. (shrink)

Promises and disappointments of artificial intelligence for scientific discovery Recent successes within Artificial Intelligence with deep learning techniques in board games gave rise to the ambition to apply these learning methods to scientific discovery. This model for discovering new scientific laws is based on data-driven generalization in large databases with observational data using neural networks. In this study we want to review and critical assess an earlier research programme by the name of BACON. Though BACON was based on different (...) AI technology, we can learn from its limitations and thus adjust our expectations. The BACON program had two ambitions, one descriptive and one normative. On the one hand, it wanted to provide an explanation how philosophers of nature in history arrived at general laws from observational data and on the other hand it also aimed to reconstruct historical discoveries and realize new ones. We will assess the claims of the BACON program by means of two historical cases studies: the discovery of the sine law of refraction in optics and the discovery of Kepler’s third law of planetary motion. I will demonstrate that, despite the formulated claims, BACON did not use the same historical data available to its discoverers and, more importantly, that the model of inductive generalization of observational data does not correspond with the historical methods. Finally I will question the value of data-driven induction for scientific discovery in general. (shrink)

Nowadays, there has been an increase in security concerns regarding fingerprint biometrics. This problem arises due to technological advancements in bypassing and hacking methodologies. This has sparked the need for a more secure platform for identification. In this paper, we have used a deep Convolutional Neural Network as a pre-verification filter to filter out bad or malicious fingerprints. As deep learning allows the system to be more accurate at detecting and reducing false identification by training itself again and again with (...) test samples, the proposed method improves the security and accuracy by multiple folds. The implementation of a novel secure fingerprint verification platform that takes the optical image of a fingerprint as input is explained in this paper. The given input is pre-verified using Google’s pre-trained inception model for deep learning applications, and then passed through a minutia-based algorithm for user authentication. Then, the results are compared with existing models. (shrink)

TRAPPED INSIDE THE MACHINE. TECHNO-ANTHROPOLOGY The aim of this article is to pose the question of who is the man in a world steeped in technology. Currently, through the significant growth of the Internet, we are in the middle of the road leading to the connection of all people in the world in one nervous system. Machines are the most important teachers of man. Not only in terms of learning specific things, but also in the sense that the role of (...) the teacher described by Max Weber — in communicating our knowledge about how to be a man. With some caution we can say that the machines define human form of contact with other people. In conclusion, the author of the article considers the question of human nature in the light of such phenomena as the collective consciousness in the network, technological development and biohacking. The author introduces the concept of „machines” meaning the virtual body, computers, credit cards, terminals, camera, internet, networks, software, satellite and fiber optics. These are all elements merged in the „machine” that creates human behavior. (shrink)

The adverse effects of the Covid-19 pandemic have exposed the lack of multi-scalar community resilient strategies that catalyze the development of alternative coping mechanisms for future challenges. To address the immediate needs of vulnerable and marginalized groups, especially in times of crisis, as evidenced by the pandemic, micro-networks within communities have mitigated and reduced harm through self-devised ingenuity based on local ways of life. Socio-spatial micro-networks have the potential to empower communities to self-organize, engage, collaborate, co-design, co-build, and (...) connect with other communities to improve their resilience. This paper focuses on the impact of micro-networks of care, participatory action research, community health, solidarity and mutual aid in Nairobi (Kenya), comparing their resilience strategies, pre- and post Covid-19 pandemic era. Through analytical, empirical, and comparative studies, this paper envisions viable ways of augmenting and enhancing self-devised, self-sufficient, and resilient culture in marginalized communities in Africa and worldwide. -/- . (shrink)

In this chapter, I consider three ‘promises’ of bringing phenomenology into dialogue with networked learning. First, a ‘conceptual promise’, which draws attention to conceptual resources in phenomenology that can inspire and inform how we understand, conceive of, and uncover experiences of participants in networked learning activities and environments. Second, a ‘methodological promise’, which outlines a variety of ways that phenomenological methodologies and concepts can be put to use in empirical research in networked learning. And third, a ‘critical promise’, which suggests (...) how work done in the realm of critical phenomenology is complementary to and useful for exploring the social justice and emancipatory aims of networked learning researchers. Through this framework, I reflect upon multiple ways in which phenomenology has and might continue to fruitfully inform and shape networked learning research. In doing so, I emphasise that deploying phenomenology in the context of networked learning not only enriches our understanding of networked learning but that phenomenology itself is enriched through testing, finetuning, and expanding its methods, concepts, and understanding, as well as unveiling its own limitations and constraints. (shrink)

We have compared two different laser-induced optical light traps for their utility in moving organelles within living animal cells and walled fungal cells. The first trap employed a continuous wave neodymium-yttrium aluminum garnet laser at a wavelength of 1.06 micron. A second trap was constructed using a titanium-sapphire laser tunable from 700 to 1000 nm. With the latter trap we were able to achieve much stronger traps with less laser power and without damage to either mitochondria or spindles. Chromosomes (...) and nuclei were easily displaced, nucleoli were separated and moved far away from interphase nuclei, and Woronin bodies were removed from septa. In comparison, these manipulations were not possible with the Nd-YAG laser-induced trap. The optical force trap induced by the tunable titanium-sapphire laser should find wide application in experimental cell biology because the wavelength can be selected for maximization of force production and minimization of energy absorption which leads to unwanted cell damage. (shrink)

There is a trend toward the use of predictive systems in communications networks. At the systems and network management level predictive capabilities are focused on anticipating network faults and performance degradation. Simultaneously, mobile communication networks are being developed with predictive location and tracking mechanisms. The interactions and synergies between these systems present a new set of problems. A new predictive network management framework is developed and examined. The interaction between a predictive mobile network and the proposed network management (...) system is discussed. The Rapidly Deployable Radio Network is used as a specific example to illustrate these interactions. (shrink)

Categorization and memory for specific items are fundamental processes that allow us to apply knowledge to novel stimuli. This study directly compares categorization and memory using delay match to category (DMC) and delay match to sample (DMS) tasks. In DMC participants view and categorize a stimulus, maintain the category across a delay, and at the probe phase view another stimulus and indicate whether it is in the same category or not. In DMS, a standard item working memory task, participants encode (...) and maintain a specific individual item, and at probe decide if the stimulus is an exact match or not. Constrained Principal Components Analysis was used to identify and compare activity within neural networks associated with these tasks, and we relate these networks to those that have been identified with resting state-fMRI. We found that two frontoparietal networks of particular interest. The first network included regions associated with the dorsal attention network and frontoparietal salience network; this network showed patterns of activity consistent with a role in rapid orienting to and processing of complex stimuli. The second uniquely involved regions of the frontoparietal central executive network; this network responded more slowly following each stimulus and showed a pattern of activity consistent with a general role in role in decision-making across tasks. Additional components were identified that were associated with visual, somatomotor and default mode networks. (shrink)

In this article, network science is discussed from a methodological perspective, and two central theses are defended. The first is that network science exploits the very properties that make a system complex. Rather than using idealization techniques to strip those properties away, as is standard practice in other areas of science, network science brings them to the fore, and uses them to furnish new forms of explanation. The second thesis is that network representations are particularly helpful in explaining the properties (...) of non-decomposable systems. Where part-whole decomposition is not possible, network science provides a much-needed alternative method of compressing information about the behavior of complex systems, and does so without succumbing to problems associated with combinatorial explosion. The article concludes with a comparison between the uses of network representation analyzed in the main discussion, and an entirely distinct use of network representation that has recently been discussed in connection with mechanistic modeling. (shrink)

Typically developing 3-day-old newborns take significantly more forward steps on a moving treadmill belt than on a static belt. The current experiment examined whether projecting optic flows that specified forward motion onto the moving treadmill surface would further enhance forward stepping. Twenty newborns were supported on a moving treadmill without optic flow, with optic flow matching the treadmill’s direction and speed, with optic flow in the same direction but at a faster speed, and in a control condition with an incoherent (...) optic flow moving at the same speed as in the Congruent condition but in random directions. The results revealed no significant differences in the number or coordination of forward treadmill steps taken in each condition. However, the Faster condition generated significantly fewer leg pumping movements than the Random control condition. When highly aroused, newborns made significantly fewer single steps and significantly more parallel steps and pumping movements. We speculate the null findings may be a function of the high friction material that covered the treadmill surface. (shrink)

Statistical approaches to Artificial Intelligence are behind most success stories of the field in the past decade. The idea of generating non-trivial behaviour by analysing vast amounts of data has enabled recommendation systems, search engines, spam filters, optical character recognition, machine translation and speech recognition, among other things. As we celebrate the spectacular achievements of this line of research, we need to assess its full potential and its limitations. What are the next steps to take towards machine intelligence?

I explored the relationship between the “Black Axe” Confraternity and cybercrime, with a particular emphasis on the structural dynamics of the Business Email Compromise (BEC) schemes. I investigated whether a conventional hierarchical system governs the membership and remuneration for BEC roles as perpetrators by interviewing an accused “leader” of the “Black Axe” affiliated cybercriminal incarcerated in a prominent Western nation. I supplemented the analysis of interview data with insights from tapped phone records monitored by a law enforcement entity. I merged (...) Actor-network theory and Social Network theory as analytical frameworks and thematically analyzed data to produce six overarching themes: (1) The fluidity of Structure and Adaptive Roles in BEC, (2) Challenges in Visualizing Criminal Networks, (3) Globalization and Transnational Dimensions, (4) Social and Cultural Influences, (5) Internal Cybersecurity Threats and Money Laundering, and (6) Remuneration and Influences of Cryptocurrency, casting a brighter light on the topic. Unlike traditional organized crime, BEC scammers have adopted a nonhierarchical model that is flexible and fluid. I found no evidence of a rigid hierarchy dictating positions and remuneration for BEC roles. Instead, I observed that cybercriminals involved in BEC activities functioned horizontally, promoting fluidity, maneuverability, collaboration, and specialization across various facets of their illicit pursuits. I also highlighted the cross-border links BEC offenders have with other criminal actors facilitated by Black Axe organizational machinery. My research adds value to the existing body of knowledge, utilizing a unique dataset comprising direct testimonies of a high-profile BEC offender affiliated with the ‘hard–to–access,’ Black Axe gang. (shrink)

Significantly, Berkeley, in his Essay Towards a New Theory of Vision, leveled a sustained attack on just this geometrical theory of distance perception. At first glance it may seem, as it did to Berkeley, that Descartes’ geometrical theory is produced by a simple error: namely, by the idea that a physiological optics provides an adequate description of the psychological processes of judging distances. In truth, this is the weakest of Berkeley’s objections to Descartes’ theory. Obviously we do not see the (...) angles and lines of convergence when we focus on a distant object, nor are we aware of having used any geometrical rules in judging distance. And Descartes never claimed this. (shrink)

_ Source: _Volume 29, Issue 1, pp 86 - 102 The aim of this paper is to give an overview of the place that Hobbes assigns to optics in the context of his classification of sciences and disciplinary boundaries. To do this, I will begin with an account of Hobbes’s conception of philosophy or science, and particularly his distinction between true and hypothetical knowledge. I will also show that in his demarcation between mathematics or geometry and natural philosophy Hobbes was (...) influenced by Galileo’s _Dialogue_. I then analyse the consequences of this distinction for optics, and conclude by clarifying its status among the scientific disciplines. (shrink)