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This paper is an analysis of the different methods proposed to achieve AGI, including Human Brain Emulation, AIXI and Integrated Cognitive Architecture. First, the definition of AGI as used in this paper has been defined, and its…

Artificial Intelligence · Computer Science 2022-02-08 Soumil Rathi

In today's rapidly evolving digital landscape, organisations face escalating cyber threats that can disrupt operations, compromise sensitive data, and inflict financial and reputational harm. A key reason for this lies in the organisations'…

Cryptography and Security · Computer Science 2025-04-08 Lasini Liyanage , Nalin Arachchilage , Giovanni Russello

The rise of advanced technology in project management (PM) highlights a crucial need for inclusiveness. This work examines the enhancement of both inclusivity and efficiency in PM through technological integration, focusing on defining and…

Software Engineering · Computer Science 2023-11-21 Vasileios Alevizos , Ilias Georgousis , Akebu Simasiku , Sotiria Karypidou , Antonis Messinis

This study aims to information security in academic information systems to provide recommendations for improvements in information security management by the expected maturity level based on ISO/IEC 27002:2013. By using a qualitative…

Cryptography and Security · Computer Science 2022-04-25 Endang Kurniawan , Imam Riadi , Amin Irmawan , Arusani

For several decades, the CPU has been the standard model to use in the majority of computing. While the CPU does excel in some areas, heterogeneous computing, such as reconfigurable hardware, is showing increasing potential in areas like…

Hardware Architecture · Computer Science 2021-04-21 Carl-Johannes Johnsen , Alberte Thegler , Kenneth Skovhede , Brian Vinter

Simulation-based inference (SBI) is constantly in search of more expressive and efficient algorithms to accurately infer the parameters of complex simulation models. In line with this goal, we present consistency models for posterior…

Machine Learning · Computer Science 2024-11-05 Marvin Schmitt , Valentin Pratz , Ullrich Köthe , Paul-Christian Bürkner , Stefan T Radev

Particularly over the last ten years, Agile has attracted not only the praises of a broad range of enthusiast software developers, but also the criticism of others. Either way, adoption or rejection of Agile seems sometimes to be based more…

Software Engineering · Computer Science 2014-07-03 Vito Veneziano , Austen W. Rainer , Sheraz Haider

The increasing complexity of LLMs presents significant challenges to their transparency and interpretability, necessitating the use of eXplainable AI (XAI) techniques to enhance trustworthiness and usability. This study introduces a…

Computation and Language · Computer Science 2025-04-09 Melkamu Abay Mersha , Mesay Gemeda Yigezu , Hassan Shakil , Ali K. AlShami , Sanghyun Byun , Jugal Kalita

Software product line has emerged as an attractive phenomenon within organizations dealing with software development process. It involves assembly of products from existing core assets, commonly known as components, and continuous growth in…

Software Engineering · Computer Science 2015-07-27 Fahem Ahmed , Luiz Fernando Capretz

The family of Multiscale Hybrid-Mixed (MHM) finite element methods has received considerable attention from the mathematics and engineering community in the last few years. The MHM methods allow solving highly heterogeneous problems on…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-03-31 Antonio Tadeu A. Gomes , Weslley S. Pereira , Frederic Valentin , Diego Paredes

Exascale systems, expected to emerge by the end of the next decade, will require the exploitation of billion-way parallelism at multiple hierarchical levels in order to achieve the desired sustained performance. The task of assessing future…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-09-27 Matthew Anderson , Maciej Brodowicz , Hartmut Kaiser , Thomas Sterling

eXplainable artificial intelligence (XAI) methods have emerged to convert the black box of machine learning (ML) models into a more digestible form. These methods help to communicate how the model works with the aim of making ML models more…

The growing adoption of domain-specific architectures in edge computing platforms for deep learning has highlighted the efficiency of hardware accelerators. However, integrating custom accelerators into modern machine learning (ML)…

Machine Learning · Computer Science 2025-07-08 Samira Ahmadifarsani , Daniel Mueller-Gritschneder , Ulf Schlichtmann

Most of today's products and services are software-based. Organizations that develop software want to maintain and improve their competitiveness by controlling software-related risks. To do this, they need to align their business goals with…

We present early experiences with defining and validating a software maturity model (SMM) for a distributed, research-driven organization of independent and self-organizing teams of diverse cultures, experience and maturity. The paper…

Software Engineering · Computer Science 2020-09-02 Bartosz Walter , Marcin Wolski , Žarko Stanisavljević , Andrijana Todosijević

Physicists often manually consider extreme cases when testing a theory. In this paper, we show how to automate extremal testing of network software using LLMs in two steps: first, ask the LLM to generate input constraints (e.g., DNS name…

Software Engineering · Computer Science 2025-07-17 Rathin Singha , Harry Qian , Srinath Saikrishnan , Tracy Zhao , Ryan Beckett , Siva Kesava Reddy Kakarla , George Varghese

Software Process Improvement (SPI) encompasses the analysis and modification of the processes within software development, aimed at improving key areas that contribute to the organizations' goals. The task of evaluating whether the selected…

Purpose - The research aims to show the relevance of company client sponsored student projects in the University of Asia and the Pacific Information Technology (UA&P IT) Capstone Program through the use ofan Agile Methodology with Scrum…

Software Engineering · Computer Science 2019-02-06 Giuseppe C. Ng

For software development companies, one of the most important objectives is to identify and acquire talented software engineers in order to maintain a skilled team that can produce competitive products. Traditional approaches for finding…

Software Engineering · Computer Science 2014-11-25 Jun Lin , Han Yu , Zhiqi Shen
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