82 research outputs found
How To Do Philosophy Informationally
No full textIn this paper we introduce three methods to approach philosophical problems informationally: Minimalism, the Method of Abstraction and Constructionism. Minimalism considers the specifications of the starting problems and systems that are tractable for a philosophical analysis. The Method of Abstraction describes the process of making explicit the level of abstraction at which a system is observed and investigated. Constructionism provides a series of principles that the investigation of the problem must fulfil once it has been fully characterised by the previous two methods. For each method, we also provide an application: the problem of visual perception, functionalism, and the Turing Test, respectively
Dispensing device for the controlled dispensing of drugs, method for managing said dispenser and system comprising said dispenser
No full textThe present invention relates to a system for assisting a patient to take drugs.
In particular, the present invention relates to a dispenser device for the controlled dispensing of drugs in the form of pills for a patient.
The invention also relates to a method of managing said dispenser device for the correct dispensing of the pills for the patient
The Philosophy of Information - A Methodological Point of View
No full textThe Philosophy of Information is a new area of research at the intersection of philosophy and computer science [4]. It concerns (a) the critical investigation of the conceptual nature and basic principles of information, including its dynamics (especially computation), utilization (especially computer ethics) and sciences; and (b) the elaboration and application of computational and information-theoretic methodologies to philosophical problems. Past work by members of our group has concentrated on (a), and in this paper we explore (b). In a nutshell, we ask what computer science can do for philosophy, rather than what the latter can do for the former
Integrating and Characterizing HPC Task Runtime Systems for hybrid AI-HPC workloads
No full textScientific workflows increasingly involve both HPC and machine-learning tasks, combining MPI-based simulations, training, and inference in a single execution. Launchers such as Slurm’s srun constrain concurrency and throughput, making them unsuitable for dynamic and heterogeneous workloads. We present a performance study of RADICAL-Pilot (RP) integrated with Flux and Dragon, two complementary runtime systems that enable hierarchical resource management and high-throughput function execution. Using synthetic and production-scale workloads on Frontier, we characterize the task execution properties of RP across runtime configurations. RP+Flux sustains up to 930 tasks/s, and RP+Flux+Dragon exceeds 1,500 tasks/s with over 99.6% utilization. In contrast, srun peaks at 152 tasks/s and degrades with scale, with utilization below 50%. For IMPECCABLE.v2 drug discovery campaign, RP+Flux reduces makespan by 30–60% relative to srun/Slurm and increases throughput more than four times on up to 1,024. These results demonstrate hybrid runtime integration in RP as a scalable approach for hybrid AI-HPC workloads.A. Merzky, M. Titov and M. Turilli equally contributed to this paper.This work is supported in part by the following grants: NSF-2103986and 1931512, and US DOE DE-AC02-06CH11357 (LUCID). We thank Agastya Bhati and Peter Coveney for insights and discussions onIMPECCABLE workloads.YesPublishe
Topic 6: Grid, cluster and cloud computing (Introduction)
No full textGrid and cloud computing have changed the IT landscape in the way we access and manage IT infrastructures. The use of computing resources has become essential for many applications in various areas. Both technologies provide easyto- use and on-demand access to large-scale infrastructures. The high number of submissions to "Topic 6: Grid, Cluster and Cloud Computing" reflected the importance of the research area. The papers addressed key challenges regarding design, deployment, operation and use of Grid and cloud infrastructures. Moreover, several innovative algorithms and methods for fundamental capabilities and services that are required in a heterogeneous environment, such as adaptability, scalability, reliability and security, and to support applications as diverse as ubiquitous local services, enterprise-scale virtual organizations, and internet-scale distributed supercomputing were proposed. Finally, many experimental evaluations and use-cases delivered an insight into the deployment in real-world scenarios and showed interesting future application domains. Each submission was reviewed by at least four reviewers and, finally, we were able to select nine high-quality papers. The papers were grouped in four sessions that are briefly summarized in following.</p
International Institute for Software Technology Dynamics of Control
No full textTraining Centre of the United Nations University (UNU). It is based in Macao, and was founded in 1991. It started operations in July 1992. UNU-IIST is jointly funded by the government of Macao and the governments of the People’s Republic of China and Portugal through a contribution to the UNU Endowment Fund. As well as providing two-thirds of the endowment fund, the Macao authorities also supply UNU-IIST with its office premises and furniture and subsidise fellow accommodation. The mission of UNU-IIST is to assist developing countries in the application and development of software technology. UNU-IIST contributes through its programmatic activities: 1. Advanced development projects, in which software techniques supported by tools are applied, 2. Research projects, in which new techniques for software development are investigated, 3. Curriculum development projects, in which courses of software technology for universities in developing countries are developed, 4. University development projects, which complement the curriculum development projects by aiming to strengthen all aspects of computer science teaching in universities in developing countries, 5. Schools and Courses, which typically teach advanced software development techniques
Ethical protocols design
No full textThe paper offers a solution to the problem of specifying computational systems that behave in accordance with a given set of ethical principles. The proposed solution is based on the concepts of ethical requirements and ethical protocols. A new conceptual tool, called the Control Closure of an operation, is defined and used to translate ethical principles into ethical requirements and protocols. The concept of Generalised Informational Privacy (GIP) is used as a paradigmatic example of an ethical principle. GIP is defined in such a way as to (i) discriminate specific cases in which an individual’s GIP can be infringed without accessing the individual’s data; (ii) separate unauthorised accesses to data that do not respect the right to GIP from access that do; and (iii) distinguish different degrees of GIP. Finally a camera phone is used to illustrate the proposed solution.YesPublishe
Cloud computing and its ethical challenges
No full textThe paper analyses six ethical challenges posed by cloud computing, concerning ownership, safety, fairness, responsibility, accountability and privacy. The first part defines cloud computing on the basis of a resource-oriented approach, and outlines the main features that characterise such technology. Following these clarifications, the second part argues that cloud computing reshapes some classic problems often debated in information and computer ethics. To begin with, cloud computing makes possible a complete decoupling of ownership, possession and use of data and this helps to explain the problems occurring when different providers of cloud computing retain or relinquish the right to use or own users‘ data. The problem of safety in cloud computing is coupled to that of reliability, insofar as users have to trust providers to preserve their data, applications and content in a reliable manner. It is argued that, in this context, data insurance could play an important role. Regarding fairness, the paper argues that cloud computing is already reshaping the nature of the Digital. Responsibility, accountability and privacy close the ethical analysis of cloud computing. In this case, the thesis is that the necessity to account for the actions of cloud computing users imposes delicate trade-offs between users‘ privacy and the traceability of their operations
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