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This paper presents HyperGraphOS, an innovative Operating System designed for the scientific and engineering domains. It combines model based engineering, graph modeling, data containers, and computational tools, offering users a dynamic…

Artificial Intelligence · Computer Science 2024-12-09 Antonello Ceravola , Frank Joublin , Ahmed R. Sadik , Bram Bolder , Juha-Pekka Tolvanen

Large language models (LLMs) excel at implementing code from functionality descriptions but struggle with algorithmic problems that require not only implementation but also identification of the suitable algorithm. Moreover, LLM-generated…

Computation and Language · Computer Science 2023-12-11 Kexun Zhang , Danqing Wang , Jingtao Xia , William Yang Wang , Lei Li

This tool paper presents the High-Assurance ROS (HAROS) framework. HAROS is a framework for the analysis and quality improvement of robotics software developed using the popular Robot Operating System (ROS). It builds on a static analysis…

Software Engineering · Computer Science 2021-03-03 André Santos , Alcino Cunha , Nuno Macedo

ARTOS is all about creating, tuning, and applying object detection models with just a few clicks. In particular, ARTOS facilitates learning of models for visual object detection by eliminating the burden of having to collect and annotate a…

Computer Vision and Pattern Recognition · Computer Science 2014-08-26 Björn Barz , Erik Rodner , Joachim Denzler

The recent advent of autonomous laboratories, coupled with algorithms for high-throughput screening and active learning, promises to accelerate materials discovery and innovation. As these autonomous systems grow in complexity, the demand…

Large Language Models (LLMs) have emerged as foundational infrastructure in the pursuit of Artificial General Intelligence (AGI). Despite their remarkable capabilities in language perception and generation, current LLMs fundamentally lack a…

Large Language Models (LLMs) have become an essential infrastructure for Artificial General Intelligence (AGI), yet their lack of well-defined memory management systems hinders the development of long-context reasoning, continual…

ARES OS 2.0 (hereinafter ARES OS) is an open-source software suite to enable laboratory automation and closed-loop autonomous experimentation. Its function is to orchestrate experimental actions and data handoff between lab equipment,…

Computational Engineering, Finance, and Science · Computer Science 2026-04-07 Arthur W. N. Sloan , Robert W. Waelder , Morgen L. Smith , Nicholas Kleiner , Arnas Babeckis , Jason Wheeler , Daylond Hooper , Benji Maruyama

We conduct an exhaustive survey of adaptive selection of operators (AOS) in Evolutionary Algorithms (EAs). We simplified the AOS structure by adding more components to the framework to built upon the existing categorisation of AOS methods.…

Neural and Evolutionary Computing · Computer Science 2020-05-13 Mudita Sharma , Manuel Lopez-Ibanez , Dimitar Kazakov

Operating system is a bridge between system and user. An operating system (OS) is a software program that manages the hardware and software resources of a computer. The OS performs basic tasks, such as controlling and allocating memory,…

Operating Systems · Computer Science 2012-09-21 Kamlesh Sharma , T. V. Prasad

Neural Architecture Search (NAS) has received extensive attention due to its capability to discover neural network architectures in an automated manner. aw_nas is an open-source Python framework implementing various NAS algorithms in a…

Neural and Evolutionary Computing · Computer Science 2020-12-21 Xuefei Ning , Changcheng Tang , Wenshuo Li , Songyi Yang , Tianchen Zhao , Niansong Zhang , Tianyi Lu , Shuang Liang , Huazhong Yang , Yu Wang

We introduce MOS, a software application designed to facilitate the deployment, integration, management, and analysis of mathematical optimization models. MOS approaches mathematical optimization at a higher level of abstraction than…

Optimization and Control · Mathematics 2022-10-11 James Hubert Merrick , Tomás Tinoco De Rubira

Designing code to be simplistic yet to offer choice is a tightrope walk. Additional modules such as optimizers and data sets make a framework useful to a broader audience, but the added complexity quickly becomes a problem. Framework…

Machine Learning · Computer Science 2021-12-06 Kevin Alexander Laube

Several Network Operating Systems (NOS) have been proposed in the last few years for Software Defined Networks; however, a few of them are currently offering the resiliency, scalability and high availability required for production…

Networking and Internet Architecture · Computer Science 2015-03-27 M. Gerola , M. Santuari , E. Salvadori , S. Salsano , M. Campanella , P. L. Ventre , A. Al-Shabibi , W. Snow

Observability in cloud infrastructure is critical for service providers, driving the widespread adoption of anomaly detection systems for monitoring metrics. However, existing systems often struggle to simultaneously achieve explainability,…

Machine Learning · Computer Science 2025-01-27 Yile Gu , Yifan Xiong , Jonathan Mace , Yuting Jiang , Yigong Hu , Baris Kasikci , Peng Cheng

This poster presents the conceptual framework of the Adaptive Learning Guidance System ALGS. The system aims to propose a model for adaptive learning environments where two major concerns arising from past studies are being addressed; the…

Computers and Society · Computer Science 2019-11-19 Ghada El-Hadad , Doaa Shawky , Ashraf Badawi

Nowadays, in most of the fields, task automation is area of interest and research due to that manual execution of a task is error prone, time consuming, involving more human resources and focus concerning. In the area of Computer laboratory…

Networking and Internet Architecture · Computer Science 2021-05-06 Miran Hama Rahim Saeed , Bryar A. Hassan , Shko M. Qader

The rise in computing hardware choices is driving a reevaluation of operating systems. The traditional role of an operating system controlling the execution of its own hardware is evolving toward a model whereby the controlling processor is…

OPUS is a branch and bound search algorithm that enables efficient admissible search through spaces for which the order of search operator application is not significant. The algorithm's search efficiency is demonstrated with respect to…

Artificial Intelligence · Computer Science 2014-11-17 G. I. Webb
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