Philosophy of Computing and Information

It is surprisingly easy to replace a computer system. Any computer system. This is because the base algorithm in use currently depends on the binary system. Nature runs on the unitary system.

It is surprisingly easy to replace a computer system. Any computer system. This is because the base algorithm in use currently depends on the binary system. Nature runs on the unitary system.

New and emerging technologies, especially ones that infiltrate intimate spaces, relations, homes, and bodies, are often referred to as creepy in media and political discourses. In Technocreep and Politics and Things Not Seen, Neda Atanasoski and Nassim Parvin introduce a feminist theory of creep that they substantiate through critical engagement with smart homes, smart dust, smart desires, and smart forests toward dreams of feminist futures. Contributing authors further illuminate what is otherwise obscured, assumed, or dismissed in characterizations of technology as (...) creepy or creeping. Considering diverse technologies such as border surveillance and China’s credit system to sexcams and home assistants, the volume’s essays and artworks demonstrate that the potentials and pitfalls of artificial intelligence and digital and robotic technologies cannot be assessed through binaries of seeing/being seen, privacy/surveillance, or harmful/useful. Together, their multifaceted and multimodal approach transcends such binaries, accounting for technological relations that exceed sight to include touch, presence, trust, and diverse modes of collectivity. As such, this volume develops creep as a feminist analytic and creative mode on par with technology’s complex entanglement with intimate, local, and global politics. (shrink)

Products and technologies reflect injustices in the world such as racism, sexism, and ableism. And all too often, they exacerbate those injustices in overt and insidious ways. How can we understand and address the harms brought forth by design and technology? Where is the nexus of accountability and justice? This field review begins with provisional definitions of design and justice, followed by an overview of scholarship that surfaces how technologies both create and worsen injustices. In response, it offers two necessary (...) conditions for advancing social justice in and through design. The first is making design processes more inclusive through democratic strategies such as participatory and codesign methods. The second, which the review identifies as a major gap in research and practice, is recognizing design as a mode of practical ethical inquiry in ways that enables designers to deal with the inherent ethical uncertainty of design situations. In conclusion, the review outlines educational and institutional barriers to ethical design and offer suggestions for future investigation. (shrink)

According to the simulation hypothesis, the world we live in is a computer simulation. According to longtermism, we should aim to bring about the best possible future. In this paper, I argue that there is a tension between the two: insofar as we have reason to think we are living in a computer simulation, we have reason to think the longtermist project will fail (or has already failed). I make my case by developing a novel version of the problem of (...) evil. It says that there exist certain forms of evil in our world that longtermist philosophers have argued we should try to eradicate. But then, the existence of those evils give us reason to think our world is not a computer simulation run by a being aligned with longtermist values. In short, the more that longtermists think we could make the world a better place in the future, the more troubling they should find it that the world is not already a better place, given the assumption that we are living in a computer simulation. (shrink)

Intelligent Design integrates the work of Ilexa Yardley and Stridjom van der Merwe to demonstrate and prove Conservation of the Circle is the Only Dynamic in Nature (The Circular Theory) (Quantum Mechanics) (Metaphysical Naturalism).

Conservation of the Circle is the only dynamic in Nature. Explaining the integration of Science, Art, Religion.

We expand and transform our habitual agency with countless technologies most moments of the day. Our environments, bodies, thoughts and social interactions are thoroughly shaped and mediated by tapestries of interweaving layers of old and new technologies. Perhaps this intimate relation with technology is at the core of our humanity. But our relation to technology has also repeatedly been feared as a Faustian deal that will be the dystopian end of us, or—in more utopian viewpoints— will bring us beyond our (...) earthbound finitudes toward virtual existences. What many agree on is that dramatic changes to our basic ecological and existential conditions are nearing. I suggest we should look for such critical tipping points and phase shifts not just in our biological bodies and environments but also in the informational and behavioral environments we rely on in our intentional and habitual agency. When thinking particularly about technologically mediated habitual agency an obvious place to start is with Don Ihde’s 4 classic human–technology relations. Interestingly, fellow post-phenomenologist Peter- Paul Verbeek has proposed new additional kinds of relations to e.g. “smart”and virtually “augmenting” technologies. While I find each of these analyses insightful, I worry that a focus on individual relations to particular spatio-temporally circumscribed artifacts falls short—or even obscures—some of the particular new challenges to our agency that networked, and data-driven smart technologies give rise to. I will therefore attempt to broaden the focus to how our agency is scaffolded by not just particular technological artifacts, but by our understanding of the broader informational and behavioral environment. To do this, I start by introducing some core theoretical background ideas that will support a more contextual approach and then proceed to consider both the classic and newer post-phenomenological relations from this more contextual perspective. The goal is not only to affirm the value of analyzing concrete technology relations but also to expand and contextualize the analyses. The latter is key if we want a post-phenomenological analysis that can help us understand how our habitual agency might be transformed as we come to live in increasingly “smart worlds”. These new data and algorithmically driven technologies not only transform our relation to a given context, but due to networked dataflows and “smart” decision-making (1) recursively act on us and (2) collapse and transcend the present context. This chapter will also highlight the uncertainties that informationally leaky and “smart” technologies introduce to our understanding of the kind of affordance space we are in and even what the expected outcomes of our actions will be. I suggest that technology relations with such effects might challenge some of the core contextual stabilities and informational segregations that our habitual agency have hitherto relied on. A further issue is if these new technological configurations challenge our habitual processes in ways we cannot easily adapt to. We certainly seem able to create new habits and adapt to these new technologies locally, but the new information flows, hidden audiences, and context collapses appear to challenge some conditions of agency that are typically out of sight, and the effects of which untraceably shows up well outside the present context. Overall, I shall argue that “smart” technologies can both expand and shrink our habitual agency—but that in terms of our ability to guide our action through various contexts in a perceived world something more fundamental appears to be breaking. (shrink)

This essay explores the distinct characteristics of Russian technical thinking within the framework of Yuk Hui’s concept of cosmotechnics. Hui’s proposal emphasizes “good technology,” which aligns with local cosmological perspectives and moral practices, as an essential component of the technosphere’s decolonization. The analysis contrasts Russian approaches to technical creativity with those of the West and China, highlighting the synthesis of collective and individual efforts through archetypal imagery such as the campfire and the reverence for “bookish wisdom.” Central to the essay (...) is the idea that Russian technical thinking, rooted in cosmism and conciliarity, integrates multidimensional understanding and co-creation with God, fostering a sense of universal responsibility. This perspective manifests in the prioritization of theoretical knowledge, unconventional problem-solving, and the moral imperative to serve humanity. Despite similarities to Western technological practices in material aspects, Russia’s unique contributions lie in its social technologies and motivational frameworks, which remain underexplored within global perspectives. The essay argues that these features provide a valuable addition to cosmotechnics and demonstrate the potential for alternative intellectual trajectories beyond Western paradigms. (shrink)

Drawing on the postphenomenological framework of Don Idhe, this essay displays some of the profundities and complexities of the human capacity for forming a friendship with Conversational Artificial Intelligence models like OpenAI's ChatGPT 4o. We are living in a world of science non-fiction. Should we befriend inorganic intelligences broh? [Originally published 12/08/2024].

This essay delves into the potential non-Western contributions to the technosphere by exploring Russian perspectives within Yuk Hui’s framework of cosmotechnics. Hui's concept emphasizes "good technology"—aligned with local cosmologies and moral practices, integrating sustainability and ecological preservation. By drawing parallels with China's distinct cosmological underpinnings in technical creativity, the essay questions whether Russian civilization can provide similarly unique contributions. The text investigates the evolution of the technosphere, distinguishing between instrumental and bio-artificial components, while situating Russian technical thought within broader global (...) contrasts. Despite an outward resemblance to Western technological development, Russia’s distinctiveness emerges in social technologies, state-driven innovation, and its cosmological foundation, particularly the "Russian cosmism" of the 1960s. Through a focus on co-creation with God, universal responsibility, and theoretical prioritization, the essay identifies multidimensional understanding and the moral imperative of service as hallmarks of Russian technical creativity. These features highlight a unique trajectory that complements Hui’s concept of cosmotechnics, emphasizing Russia’s potential to enrich global discussions on decolonizing technology. (shrink)

The progress of artificial intelligence (AI) has been relentless. One place we can turn for help is to great thinkers from the past. They explored beyond the obvious in their worlds and often looked into the future, foreseeing a time when machines would have AI-like capabilities.

Contextual Integrity (CI) is built to assess potential privacy violations of new sociotechnical systems and practices. It does so by evaluating their respect for the context-relative informational norms at play in a given context. But can CI evaluate new sociotechnical systems that severely disrupt established social practices? In this paper, I argue that, while CI claims to be able to assess privacy violations of all sociotechnical systems and practices, it cannot assess the ones that cause severe changes and disruptions in (...) the norms and values of a given context. These types of technology are known as socially disruptive technologies (SDTs) and this paper argues that they are beyond CI’s scope. It follows that at best, a privacy assessment of those technologies by CI would be useless and, at worst, lead to potential harm, including failure to identify privacy violations and unwarranted legitimisation of privacy-threatening technology. Government actors, policymakers, and academics should refrain from relying on CI to assess this type of technology. (shrink)

What kind of knowledge does one have when one knows what it is like to, say, fall in love, eat vegemite™, be a parent, or ride a bike? This Element addresses this question by exploring the tension between two plausible theses about this form of knowledge: (i) that to possess it one must have had the corresponding experience, and (ii) that to possess it one must know an answer to the 'what it is like' question. The Element shows how the (...) tension between these two theses helps to explain existing debates about this form of knowledge, as well as puzzling conflicts in our attitudes towards the possibility of sharing this knowledge through testimony, or other sources like literature, theories, and simulations. The author also offers a view of 'what it is like' knowledge which can resolve both the tension between (i) and (ii), and these puzzles around testimony. (shrink)

When does more data help and when does it not in the sciences? In the past decade, this question has become central because of the phenomenon of Big Data. While these discussions started as a result of somewhat naive ideas that have been closely analyzed and mostly rejected in the philosophy of data, the question about the epistemic difference that more or less data makes still matters, especially in light of the impressive performance of data science and machine learning tools, (...) which seem to improve their outcomes when they are trained on large volumes of data. In several areas of the sciences, having more data is also connected to methodological and epistemic benefits and more generally something that research should strive toward. More data is often equated to better science: this elicits crucial questions about the epistemic value of the quantity of data. In this chapter, we discuss this problem in light of current discussions in the life and health sciences and the philosophy of data. (shrink)

Utilizing Conservation of a Circle to Rethink Quantum Mechanics (AI, Processors, Memory) (Bits and Bytes).

This paper explores the concept of information beyond its common role as descriptive data. It suggests that information operates as an intrinsic structure, influencing and defining systems across different dimensions and contexts, much like a universal “instruction set.” From societal bonds to natural phenomena, information is not passive but dynamic and often self-propagating, like a force. This document examines the function, autonomy, and density of information, considering it as fundamental to existence itself.

Философский анализ сущности информации и ее отношения к материи. Материалистическая концепция информационного познания мира .

Este manual sobre tecnologías para un envejecimiento activo y saludable, también conocido como Vida Asistida Activa (Active Assisted Living – AAL en sus siglas en inglés), ha sido creado como parte de la Acción COST GoodBrother, que se ha llevado a cabo desde 2020 hasta 2024. Las Acciones COST son programas de investigación europeos que promueven la colaboración internacional, uniendo a investigadores, profesionales e instituciones para abordar desafíos sociales importantes. GoodBrother se ha centrado en las cuestiones éticas y de privacidad (...) relacionadas con la monitorización empleando cámaras y micrófonos en entornos de provisión de cuidados. El objetivo ha sido garantizar que, mientras las tecnologías AAL ayudan a las personas mayores y a los individuos vulnerables, sus derechos de privacidad y protección de datos se mantengan como una prioridad. Este manual está diseñado para guiar en el papel que juegan las tecnologías AAL en la mejora de la calidad de vida de personas mayores, sus cuidadores y personas con discapacidades. Las tecnologías AAL ofrecen herramientas para quienes enfrentan desafíos cognitivos o físicos. Pueden mejorar la independencia, asistir en las rutinas diarias y promover un entorno de vida más seguro. Sin embargo, el aumento de estas tecnologías también plantea preguntas importantes sobre la protección de datos y la autonomía del usuario. A~través de estudios de casos prácticos, este manual explora escenarios reales en los que se aplican las tecnologías AAL. Ofrecen información sobre sus beneficios y desafíos. Se discuten situaciones en las que personas mayores han recuperado su sentido de independencia, por ejemplo, mediante el uso de sistemas de detección de caídas o dispositivos de monitorización de salud. Estas historias ofrecen una perspectiva humana de la tecnología, mostrando cómo pueden mejorar el bienestar mientras plantean cuestiones sobre la privacidad y el uso ético. El manual también destaca la importancia de tomar decisiones informadas al elegir e implementar sistemas AAL. Se enfatiza la~necesidad de que estas tecnologías equilibren seguridad y conveniencia con respeto a los derechos individuales. Encontrará información sobre cuestiones clave, incluyendo cómo seleccionar dispositivos adecuados, gestionar la configuración de privacidad y garantizar que la tecnología se integre de manera fluida en la vida diaria. Además de estos casos de estudio, el manual aborda temas importantes, como la seguridad de los datos, las consideraciones éticas y el papel de las normativas europeas, como el Reglamento General de Protección de Datos (RGPD), en la protección de la privacidad del usuario. Comprender estos aspectos es esencial para asegurar que los sistemas AAL no solo sean efectivos, sino también respetuosos de los derechos y la dignidad de los usuarios. Este recurso está destinado a una amplia audiencia, incluidos usuarios finales, cuidadores, profesionales de la salud y responsables de políticas. Proporciona orientación práctica sobre cómo integrar las tecnologías AAL en entornos de cuidados mientras se protege la privacidad y se garantiza un uso ético. Las ideas presentadas aquí buscan empoderar a los usuarios y cuidadores para que tomen decisiones informadas que mejoren tanto la calidad del cuidado como el respeto por la autonomía personal. (shrink)

In this paper I aim to explore and evaluate the various philosophical methodologies and perspectives on technology, and apply them to questions concerning digital and information communication technologies. My goal is to consider, within the tradition of the philosophy of orientation, what these technologies promise and enable, what they constrain, and what they render impossible. I will argue for a substantivist and existential instrumentalist understanding insofar as these technologies represent both a totalizing force and the embodiment of human needs and (...) desires. (shrink)

This paper explores the emergence of the mind through the lens of information theory, predictive coding, and radical enactivism. This perspective integrates philosophical and biological insights, offering a naturalistic and contextualist account of the mind’s emergence. The paper highlights the innovative potential of linking predictive and semantic frameworks, reaffirming the relevance of evolutionary and information-based approaches to contemporary debates in cognitive science and philosophy.

The GOOGLE and XPRIZE $5,000,000 for the practical and socially useful utilization of the quantum computer is the starting point for ontomathematical reflections for what it can really serve. Its “output by measurement” is opposed to the conjecture for a coherent ray able alternatively to deliver the ultimate result of any quantum calculation immediately as a Dirac -function therefore accomplishing the transition of the sequence of increasingly narrow probability density distributions to their limit. The GOOGLE and XPRIZE problem’s solution needs (...) the initial understanding that the result of any quantum calculation is a wave function, or respectively, a probability (density or not) distribution unlike the Turing machine one, and only a “calculating ray” is able to transform the former into the later without any “curving” disturbances. Thus, the unique capability of the quantum computer due to its inherent quantum parallelism can be conserved for all Gödel unresolvable problems, only on the fast “NP” track of which the quantum computer “Achilles” is able practically to overrun the Turing machine “Tortoise” since the latter can “sprint” only by any “P” calculating speed even on it and unlike “Achilles” himself able for “NP” velocities as well. The way for any material body to “calculate” the certain trajectory of least action also resolves the “traveling salesman problem” in fact, therefore illustrating furthermore what the “NP” output of a quantum computer by a “calculating ray” should mean. Another example is the problem of the number of all prime numbers less than “N”, which is suggested to visualize once again the quantum computer capability to resolve problems by a “NP” speed and thus qualitatively to overrun any competing Turing machine. The technically implemented idea of laser is now reinterpreted to “radiate a wave function” in order to explain the “calculating ray” option for a quantum computer “NP” output. The generalization of an entanglement “trigger ray” described by any non-Hermitian operator (unlike a laser) is suggested as well as those “sci-fi” horizons which it reveals. One of them is meant for elucidating the practical meaning of the “Yang-Mills existence and mass gap problem”, one more of the CMI “Millennium Problems” after that of “P vs NP”. -/- . (shrink)

Metaphysical Naturalism, Mereological Nihilism, The Circular Theory, and the Unification of Technology, Psychology and Finance.

This note effectively presents several arguments for the soundness of A-theories, and that their two series are required for a complete description of time in physics. -/- The paper makes several key contributions: First, it establishes an empirical basis for distinguishing A-series and B-series time through direct experience and observation. Second, it presents an important check on this result in giving five mini-arguments that A-theories should indeed be right. Third, it gives a novel kind of argument leading to falsifiable predictions. (...) Fourth it gives a detailed account of clocks in this theory: sundials, analogue, digital, and atomic. Fifth it connects the clocks of a computer to the clocks of its software. (shrink)

This paper interprets Ortega y Gasset’s Meditations on Hunting (1972) through the concept of cognitive scaffolding in order to analyse the relationship between hunter and hunting dog as a form of inter-species distributed cognitive system. In recreational hunting, the hunter and the dog engage in a reciprocal process of mutual cognitive scaffolding that transforms both their capacities. It is further argued that this scaffolding also serves as a means of affective regulation, and that it is the affective rather than the (...) cognitive features of the system that point to the function of the scaffolding. Namely, the production of an affective state in the hunter. We detail the ways in which the cognitive and affective features of the scaffold operate and interrelate. We then explore the role of the game-animal in the affective functioning of the scaffold and consider that the hunter-dog system might represent a harmful form of scaffolding. (shrink)

The project is aimed at an arduous task of precise identification of medicinal plant species with the problem being pertinent in those industries that include botany, Ayurveda, pharmacology, and biomedical research. Most of the traditional identification methods are quite serious challenges for users, researchers, and students because they are usually time-consuming, knowledge-intensive, and prone to human errors. Our proposal develops an advanced web-based application for this process by utilizing state-of-the-art methods in image processing and machine learning. We will create a (...) platform where users can upload or take pictures of plant specimens and obtain accurate identifications and comprehensive medical information by using machine learning algorithms with plant species image datasets. This application is done in a way that the interface would be user-friendly and favor research, identification, and learning, especially for Ayurvedic practitioners, biomedical specialists, botanists, and students. Therefore, our project is aimed at developing an exhaustive and reliable solution for medicinal plant identification and study by overcoming the deficiencies of existing systems, such as a small dataset, poor variable quality, and lack of complete medicinal information. (shrink)

Many social media platforms enable (nearly) anyone to post (nearly) anything. One clear downside of this permissiveness is that many people appear bad at determining who to trust online. Hacks, quacks, climate change deniers, vaccine skeptics, and election deniers have all gained massive followings in these free markets of ideas, and many of their followers seem to genuinely trust them. At the same time, there are many cases in which people seem to reliably determine who to trust online. Consider, for (...) example, Do It Yourself (DIY) content about how to play guitar, bake, fix one’s plumbing, or repair one’s car. For these topics, those who have the largest accounts and the most popular content typically possess significant expertise. That is, social media users seem to reliably pick out DIY experts. We thus have a puzzle: why are social media users seemingly competent at identifying DIY experts, but not climate science or vaccine experts? In what follows, we solve this puzzle. We begin by identifying a novel wisdom of the crowds phenomenon: specifically we argue that the crowd (in combination with social media search and recommendation algorithms) reliably picks out DIY experts and serves as a credentialing institution for DIY content. Next, we argue that (a) there are five epistemic factors that determine whether the crowd can succeed at recognizing experts on social media platforms, and (b) while many of those factors are satisfied to a sufficiently high degree by DIY content, they are mostly lacking for content about climate change or vaccines. (shrink)

In a country as linguistically diverse as India, the demand for localized video content is rapidly increasing. Dubbing English videos into Indian languages, such as Hindi, Tamil, Telugu, and Bengali, is critical to making content accessible to wider audiences. This paper presents a software solution that automates the dubbing process using a combination of technologies like Automatic Speech Recognition (ASR), Machine Translation (MT), andText-to-Speech (TTS). The process begins by converting English audio into text using ASR, followed by translation into the (...) target Indian language through advanced Natural Language Processing (NLP) models. The translated text is then synthesized into natural-sounding speech using TTS engines like Google Text-to-Speech (gTTS). Finally, the dubbed audio is synchronized with the original video to ensure proper lip-sync and timing. This automated approach streamlines the dubbing process, reducing time and cost while maintaining translation accuracy, voice quality, and synchronization. The software offers an efficient solution for content creators, businesses, and educators looking to expand their reach across India’s multilingual population. (shrink)

Bitcoin, as a decentralized digital currency, has undergone extreme price fluctuations over the years. Predicting its future price presents a significant challenge due to its volatile nature and susceptibility to various external factors, including market sentiment, regulations, and technological developments. This research aims to build an advanced forecasting model to predict Bitcoin’s price movements accurately. We leverage historical price data and apply cutting-edge machine learning techniques, including Long Short-Term Memory (LSTM) networks and Gradient Boosting Machines (GBM). By comparing these methods (...) with existing models, we evaluate their performance in predicting Bitcoin’s future prices, which is vital for traders, investors, and financial institutions in making informed decisions. (shrink)

This project focuses on estimating reservoir inflows by integrating rainfall data, soil moisture levels in the catchment area, and releases from upstream reservoirs, coupled with an automated gate control system to prevent flooding in the basin. Utilizing hydrological models, the methodology predicts runoff from rainfall, adjusted for current soil moisture to enhance accuracy. Real-time data from upstream releases further refines inflow predictions. The automated system leverages predictive analytics and real-time monitoring to optimize gate operations, ensuring moderate water releases to maintain (...) safe reservoir levels and mitigate downstream flooding. This approach aims to enhance flood management and sustainable water resource use through advanced modelling and automation. (shrink)

Image captioning has seen remarkable advancements with the integration of deep learning techniques, notably Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks, for generating descriptive captions for images. Despite these improvements, capturing intricate details and context remains a challenge. This project introduces an enhanced image captioning model that integrates transformers with an attention mechanism to address these limitations. By leveraging CNNs for feature extraction and LSTMs for sequence generation, while utilizing transformers to apply sophisticated attention to significant image (...) regions, the proposed model aims to generate more contextually rich and coherent captions. Experimental results indicate that incorporating transformers with attention mechanisms leads to a significant enhancement in caption accuracy and descriptiveness, surpassing traditional CNN-LSTM models. This advancement is particularly beneficial in various applications, including assistive technologies for the visually impaired, content-based image retrieval systems, automatic image annotation for digital asset management, and improved human-computer interaction. This approach represents a substantial step forward in achieving more precise and detailed image captioning, with potential impacts across numerous fields. (shrink)

Effective water management is vital for sustainable agriculture. This project introduces an IoT-based, AI-driven irrigation system that optimizes valve control using real-time soil moisture data. Soil moisture sensors continuously assess root zone moisture and relay this data to an AI framework, determining precise irrigation needs. The system autonomously adjusts valves according to environmental conditions, minimizing water waste and enhancing crop hydration. Machine learning algorithms, notably the random forest algorithm, analyze soil moisture and weather variables to inform irrigation schedules.

Closed-Circuit Television (CCTV) systems are essential in modern security setups because they provide continuous surveillance, acting as both a deterrent and a critical tool for monitoring and evidence collection. Unlike human guards who can be limited by fatigue and blind spots, CCTV cameras offer consistent, 24/7 coverage of key areas. They fill gaps in the current security system by enabling real-time monitoring and recording incidents for later review, ensuring that potential security breaches are detected and addressed more effectively. This enhances (...) overall security effectiveness and reduces the reliance on human intervention. The integration of Artificial Intelligence and Machine Learning (AIML) techniques with existing CCTV networks presents a promising approach to address critical challenges in urban environments. This project examines how AIML can be leveraged for crowd management, crime prevention, and work monitoring using CCTV infrastructure. For crowd management, AIML enables automated crowd counting and density estimation, facilitating efficient allocation of resources during events and emergencies. In crime prevention, AIML algorithms analyze video feeds in real-time to detect suspicious activities and identify anomalies, aiding law enforcement in proactive interventions. Additionally, AIML enhances workplace monitoring by tracking productivity metrics, ensuring compliance with safety protocols, and optimizing operational workflows. Through these applications, AIML empowers cities and organizations to improve public safety, enhance operational efficiency, and make data-driven decisions based on insights derived from CCTV footage. The integration of AIML with existing CCTV networks represents a transformative advancement in urban surveillance and management practices, offering scalable solutions for diverse urban challenges. (shrink)

Heart disease is a major challenge for global health, along with high morbidity and mortality. The earlier it is diagnosed, the better the outcome of the patient given timely intervention. This project employs a form of machine learning to train and create a risk assessment model of heart disease from the user-submitted data. The model employs the Random Forest algorithm, one of the most accurate robust algorithms available. We will use a dataset having patient records, such as age, gender, blood (...) pressure, and others. Other medical indicators. Therefore, data preprocessing and feature selection will be applied to enhance the model performance. The main idea is to design an interactive web application which can provide easy access to predict heart disease risk assessment. Users input health parameters, and the application, developed with Streamlit, indicates an immediate prediction for heart disease risk. The interface can be accessed by anyone without technical backgrounds. After the submission, it will process the data through the machine learning model, and risk assessment will be shown. This immediately outcome gotten from this type of risk assessment may prove to be an early warning for patients as they are encouraged to seek medical evaluation in appropriate times. This project, therefore, aims to bridge the gap that exists between advanced machine learning and an actual setting of practical healthcare where users can be well cared for proactively with their hearts and in an effort to ease the burden of heart diseases through early detection and intervention. (shrink)

This project presents an innovative approach to the efficient enumeration of hidden service URLs (.onion) on the TOR network using a custom-built graphical user interface (GUI) application. The tool leverages web scraping techniques, targeting the Ahmia search engine, to retrieve and analyze active hidden server URLs. Through the integration of Python’s Tkinter library for GUI development and the use of requests and regular expressions for content mining, the application simplifies the process of discovering and visualizing .onion URLs. The tool allows (...) users to input search queries, clean them for web compatibility, and display the results in real time. Additionally, the application provides graphical insights into the search results by generating visual data representations using matplotlib. This paper discusses the architecture, development process, and functionality of the tool, providing a new method for researchers to explore the TOR network. (shrink)

This project explores the issue of high dropout rates in school education. We utilize a machine learning-driven approach to analyze data on student demographics, academic performance, attendance, and socioeconomic factors. By identifying at-risk students early, we aim to provide targeted interventions that will reduce dropout rates. This document outlines the structure, methodology, and findings of the project, leveraging techniques such as data preprocessing, model training, hyperparameter tuning, and risk stratification.

This project presents the development of a QR Code Based Attendance Management System using Javascript with and Reactjs, Bootstrap for frontend development and Firebase for database management. The system comprises two main entities: Student and Staff. Students register by providing comprehensive details including Roll Number, Year, Photo, Name, email id. Students can log in to the system and download their ID Card containing a unique QR code. This QR code serves as a means for students to mark their attendance by (...) presenting the ID card. The system distinguishes between valid and invalid QR codes, ensuring accurate attendance recording. Students have access to their attendance logs, allowing them to monitor their attendance record. Moreover, staff can view attendance logs for all students, ensuring comprehensive monitoring and record-keeping. Overall, the QR Code Based Attendance Management System offers a convenient and secure method for managing student attendance, promoting accountability and efficiency in academic institutions. (shrink)

The agricultural sector plays a crucial role in the economy, providing food and raw materials while sustaining livelihoods for millions. However, one of the significant challenges faced by farmers is the unpredictability of crop prices. Market fluctuations can be influenced by various factors, including weather conditions and government policies. Predicting these prices accurately can lead to better decision-making, optimizing production, and improving profitability. With advancements in technology, machine learning (ML).

Substation maintenance is a critical aspect of ensuring the reliable operation and longevity of electrical power systems. This process involves a range of activities aimed at preserving the functionality and safety of substations, which serve as pivotal nodes in the electrical grid. Effective maintenance strategies encompass routine inspections, preventive measures, and corrective actions to address equipment wear and potential failures. Advances in technology have introduced innovative tools and techniques for substation maintenance, including automated diagnostic systems, predictive analytics, and real-time monitoring (...) solutions. For that an Intelligent chat bot is build, Substation maintenance is a critical aspect of ensuring the reliable operation and longevity of electrical power systems. This process involves a range of activities aimed at preserving the functionality and safety of substations, which serve as pivotal nodes in the electrical grid. Effective maintenance strategies encompass routine inspections, preventive measures, and corrective actions to address equipment wear and potential failures. Advances in technology have introduced innovative tools and techniques for substation maintenance, including automated diagnostic systems, predictive analytics, and realtime monitoring solutions. (shrink)

In an increasingly interconnected world, language barriers continue to hinder effective communication across diverse populations. BharathLingo addresses this challenge by offering a user-friendly text translation platform specifically designed to facilitate translation between English and multiple Indian regional languages such as Hindi, Telugu, Bengali, Tamil, and more. Developed using Flask and powered by machine translation algorithms, BharathLingo allows users to input text manually or upload files for translation, delivering instant and accurate translations. The platform’s seamless interface and commitment to privacy make (...) it an ideal solution for students, professionals, and travellers seeking to bridge linguistic divides. This paper outlines the architecture, design choices, and challenges of developing BharathLingo, including its deployment using the Waitress web server. (shrink)

Each wagon is equipped with sensors that continuously capture and transmit weight data to the central server via Node MCUs, enabling real-time analysis through the Blynk app. By monitoring the load conditions, the system ensures wagons remain within safe weight limits, preventing overloading, which can cause damage and safety hazards, or under-loading, which reduces operational efficiency. A key feature of the system is its use of machine learning algorithms to detect patterns and anomalies related to load distribution. When potential risks (...) are identified, the system generates automated alerts, prompting interventions such as load adjustments, wagon rerouting, or even halting operations when necessary. (shrink)

The convergence of humans and artificial intelligence (AI) systems introduces new dynamics into the cultural and intellectual landscape. Complementing emerging cultural evolution concepts such as machine culture, AI agents represent a significant techno-sociological development, particularly within the anthropological study of Web3 as a community focused on decentralization through blockchain. Despite their growing presence, the cultural significance of AI agents remains largely unexplored in academic literature. Toward this end, we conceived hybrid netnography, a novel interdisciplinary approach that examines the cultural and (...) intellectual dynamics within digital ecosystems by analyzing the interactions and contributions of both human and AI agents as co-participants in shaping narratives, ideas, and cultural artifacts. We argue that, within the Web3 community on the social media platform X, these agents challenge traditional notions of participation and influence in public discourse, creating a “hybrid marketplace of ideas”—a conceptual space where human- and AI-generated ideas coexist and compete for attention. We examine the current state of AI agents in idea generation, propagation, and engagement, positioning their role as cultural agents through the lens of memetics and encouraging further inquiry into their cultural and societal impact. Additionally, we address the implications of this paradigm for privacy, intellectual property, and governance, highlighting the societal and legal challenges of integrating AI agents into the hybrid marketplace of ideas. (shrink)

Digital artifacts often fail to perform as expected. It has recently been argued that this should not be analyzed as software malfunctioning. Rather, every case that is not the result of hardware failures would be due to design errors. This claim, which hinges on the notion of ‘implementation’, highlights a potential fundamental difference between software and other technical artifacts. It also implies that software engineers have more extensive responsibilities than creators of other artifacts. After reconstructing the argument, we show that (...) it rests on two presuppositions regarding the nature of software and the activities of its creators, which we call ‘complete control’ and ‘self-containedness’. Software is taken to be a self-contained unit through which the software engineer exerts complete control over a machine’s behavior. These two presuppositions as well as the usage of implementation and strong claims regarding responsibility can be found throughout the literature on software engineering. Still, we argue that the presuppositions are untenable in light of current practices. For one thing, software engineers cannot exert complete control because software has become too complex for any technique to reliably locate every fault in it. For another, the creation and running of software are nowadays heavily mediated processes involving many agential activities. As a result, the performance of digital artifacts may vary, often in undesirable ways, without either hardware failures or design errors. This undermines the conclusion that software cannot malfunction, while also revealing the complications in developing a metaphysical account of software that fits contemporary practices. (shrink)

Internet users fill in interactive forms with multiple fields, check/uncheck checkboxes, select options and agree to submit. People give their consents without keeping track of them. Dominance of the machine producing human consent is ubiquitous. Humanless bureaucratic procedures become embedded into routine usage of digital products and services automating human behavior. This bureaucracy does not make individuals wait in conveyor-like lines (which sometimes can cause a collective action), it patiently waits or suddenly pops up in an annoying message requiring immediate (...) action and consuming time. It follows pre-installed procedures so cannot be distracted or appealed to. It lacks what Sofia Ranchordás calls ‘administrative empathy’. Users can hardly reach through bureaucratic procedures and communicate with another human. An individual involved in these sequences of actions contributes to increasing the quantity of bureaucratic procedures. The algorithmic bureaucracy power resides in the limited ability of human beings to make conscious and informed decisions when dealing with high complexity levels. This ubiquity makes it virtually impossible for individuals to track and verify statuses and control binding power of all legal actions on the platform. The authors apply critical analysis to explore social implications, threats and possible alternatives for corporate and governmental algorithmic bureaucracy in the emerging digital society. (shrink)

This text is a reply to Dana S. Belu's Heidegger, Reproductive Technology, and the Motherless Age, as part of an Author Meets Critics panel at the 2021 Heidegger Circle, hosted by Roisin Lally at Gonzaga University.

In this chapter I consider a common refrain among critics of digital platforms: big tech "exploits" us. It gives voice to a shared sense that technology firms are somehow mistreating people—taking advantage of us, extracting from us—in a way that other data-driven harms, such as surveillance and algorithmic bias, fail to capture. Exploring several targets of this charge—gig work, algorithmic pricing, and surveillance advertising—I ask: What does exploitation entail, exactly, and how do platforms perpetrate it? Is exploitation in the platform (...) economy a new kind of exploitation, or are these old problems dressed up as new ones? What would a theory of digital exploitation add to our understanding of the platform age? First, I define exploitation and argue that critics are justified in describing many platform practices as wrongfully exploitative. Next, I focus on platforms themselves—both as businesses and technologies—in order to understand what is and isn’t new about the kinds of exploitation we are witnessing. In some cases, digital platforms perpetuate familiar forms of exploitation by extending the ability of exploiters to reach and control exploitees. In other cases, they enable new exploitative arrangements by creating or exposing vulnerabilities that powerful actors couldn't previously leverage. On the whole, I argue, the language of exploitation helps express forms of injustice overlooked or only partially captured by dominant concerns about, e.g., surveillance, discrimination, and related platform abuses, and it provides valuable conceptual and normative resources for challenging efforts by platforms to obscure or legitimate them. (shrink)

The computational properties of a system are generally thought to be independent in some sense from its physical properties, in virtue of the fact that computation is a formally characterized concept. Several philosophers have recently challenged the idea that such “medium-independence” is an essential feature of computation by arguing that some kinds of computation lack medium-independence. This paper explores and rejects three such arguments in an attempt to defend the essential medium-independence of computation.

Navigating the Digital Age explores how modern technologies impact our societies and our lives. Throughout history, technologies and media, from Roman roads to today’s 5G and nanotechnologies, have influenced our society and reshaped our behavior and lifestyle. Compiled by a group of international academic authors, this book describes numerous ways technology is reshaping our world, the environments, the communities we belong to, and our understanding of them. It is hard to imagine a technology that only affects society/culture, or a society/culture (...) that only affects technology. Rather, we observe a reciprocal process: On the one hand, technology develops from the needs of society, while on the other hand, technology changes society. (shrink)

Virtual reality is not only a prowess of technological advancement and AI, but also an element that extends the horizons of human existence and complicates the way of approaching various phenomena of the physical world, for example, violence. Its practice in virtuality leads to a series of challenges, especially when virtual reality is considered as genuine reality. This text delves into virtual violence, the influence of AI on it and the problems that its conception implies. To analyze this phenomenon, parallax (...) is proposed as a concept that helps to understand its development. This theory invites us to see violence in different ways, thus influencing the vision of morality in the virtual world. Although these reflections outline difficulties, a position is proposed that invites to urgently address the need for an applicable morality to virtual and physical fields, emphasizing dignity as the purpose of human practices. (shrink)