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A recent paper by Hausmann and collaborators (1) reaches the important conclusion that Complexity-weighted diversification is the essential element to predict country growth. We like this result because Complexity-weighted diversification…

General Economics · Economics 2019-12-24 Luciano Pietronero , Andrea Gabrielli , Andrea Zaccaria

Recent works have shown that by curating high quality and diverse instruction tuning datasets, we can significantly improve instruction-following capabilities. However, creating such datasets is difficult and most works rely on manual…

Computation and Language · Computer Science 2024-11-12 Alexander Bukharin , Shiyang Li , Zhengyang Wang , Jingfeng Yang , Bing Yin , Xian Li , Chao Zhang , Tuo Zhao , Haoming Jiang

The 2017 ASSISTments Data Mining competition aims to use data from a longitudinal study for predicting a brand-new outcome of students which had never been studied before by the educational data mining research community. Specifically, it…

Computers and Society · Computer Science 2018-06-11 Chun-kit Yeung , Zizheng Lin , Kai Yang , Dit-yan Yeung

High Performance Computing (HPC) is intrinsically linked to effective Data Center Infrastructure Management (DCIM). Cloud services and HPC have become key components in Department of Defense and corporate Information Technology competitive…

Over the years, the growing availability of extensive datasets about registered patents allowed researchers to better understand technological innovation drivers. In this work, we investigate how the technological contents of patents…

Physics and Society · Physics 2023-02-06 Matteo Straccamore , Matteo Bruno , Bernardo Monechi , Vittorio Loreto

Although information and communication technologies (ICT) solutions have positive outcomes for both companies and employees, the digital transformation (DT) could have an impact on the well-being of employees. The jobs of the employees…

Computers and Society · Computer Science 2025-10-21 Ewa Makowska-Tłumak , Sylwia Bedyńska , Kinga Skorupska , Radosław Nielek

Modern cyber-physical systems (CPS), such as our energy infrastructure, are becoming increasingly complex: An ever-higher share of Artificial Intelligence (AI)-based technologies use the Information and Communication Technology (ICT) facet…

Data-driven intelligent computational design (DICD) is a research hotspot emerged under the context of fast-developing artificial intelligence. It emphasizes on utilizing deep learning algorithms to extract and represent the design features…

Artificial Intelligence · Computer Science 2023-04-12 Maolin Yang , Pingyu Jiang , Tianshuo Zang , Yuhao Liu

In the global craze of GPT, people have deeply realized that AI, as a transformative technology and key force in economic and social development, will bring great leaps and breakthroughs to the global industry and profoundly influence the…

Artificial Intelligence · Computer Science 2023-07-25 Ye Ouyang , Yaqin Zhang , Xiaozhou Ye , Yunxin Liu , Yong Song , Yang Liu , Sen Bian , Zhiyong Liu

Given the huge volume of cross-border flows, effective and efficient control of trade becomes more crucial in protecting people and society from illicit trade. However, limited accessibility of the transaction-level trade datasets hinders…

Machine Learning · Computer Science 2023-09-06 Chaeyoon Jeong , Sundong Kim , Jaewoo Park , Yeonsoo Choi

Electronic trading markets have evolved rapidly with continued adoption of new technologies and growing in-formation acquisition and processing capabilities. Traditional perspectives on trading performance adopted a mono-lithic view of…

Human-Computer Interaction · Computer Science 2020-02-26 Jim Samuel , Richard Holowczak , Alexander Pelaez

Debates over the trade-offs between specialization and diversification have long intrigued scholars and policymakers. Specialization can amplify an economy by concentrating on core strengths, while diversification reduces vulnerability by…

Physics and Society · Physics 2025-03-31 Matteo Straccamore , Matteo Bruno , Andrea Tacchella

India's growing population and economy have significantly increased the demand and consumption of natural resources. As a result, the potential benefits of transitioning to a circular economic model have been extensively discussed and…

General Economics · Economics 2025-01-28 Suman Kumar Das

A recent McKinsey report estimates the economic impact of the Internet of Things (IoT) to be between $3.9 to $11 trillion dollars by 20251 . IoT has the potential to have a profound impact on our daily lives, including technologies for the…

The rapid rise of generative artificial intelligence (AI) is driving unprecedented growth in global computational demand, placing increasing pressure on electricity systems. This study introduces an AI-energy coupling framework that…

Computers and Society · Computer Science 2026-04-09 Danbo Chen , Zijun Zhou , Yongyang Cai , Jiahong Qin , Ani Katchova , Lei Chen

Strategic alignment is a conviction that is considered extremely important in understanding how organizations can apply their arrangement of information technology (IT) into substantial boosts in achievement. To attain alignment advantage,…

Computers and Society · Computer Science 2014-07-10 Narges Zeinolabedin , Soroush Afiati Mehrvarz , Neda Rahbar

Composite development indicators used in policy making often subjectively aggregate a restricted set of indicators. We show, using dimensionality reduction techniques, including Principal Component Analysis (PCA) and for the first time…

General Economics · Economics 2020-03-27 Anshul Verma , Orazio Angelini , Tiziana Di Matteo

We present a circularity transition index based on open data principles and circularity of energy, material, and information. The aim of the Circular City Index is to provide data and a succinct measurement of the attributes related to…

The Industry 4.0 concept promotes a digital manufacturing (DM) paradigm that can enhance quality and productivity, that reduces inventory and the lead-time for delivering custom, batch-of-one products based on achieving convergence of…

As advertisers increasingly shift their budgets toward digital advertising, accurately forecasting advertising costs becomes essential for optimizing marketing campaign returns. This paper presents a comprehensive study that employs various…

Machine Learning · Computer Science 2024-08-22 Fynn Oldenburg , Qiwei Han , Maximilian Kaiser
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