2,177 research outputs found
Multidisciplinary perspectives on Artificial Intelligence and the law
This open access book presents an interdisciplinary, multi-authored, edited collection of chapters on Artificial Intelligence (‘AI’) and the Law. AI technology has come to play a central role in the modern data economy. Through a combination of increased computing power, the growing availability of data and the advancement of algorithms, AI has now become an umbrella term for some of the most transformational technological breakthroughs of this age. The importance of AI stems from both the opportunities that it offers and the challenges that it entails. While AI applications hold the promise of economic growth and efficiency gains, they also create significant risks and uncertainty. The potential and perils of AI have thus come to dominate modern discussions of technology and ethics – and although AI was initially allowed to largely develop without guidelines or rules, few would deny that the law is set to play a fundamental role in shaping the future of AI. As the debate over AI is far from over, the need for rigorous analysis has never been greater. This book thus brings together contributors from different fields and backgrounds to explore how the law might provide answers to some of the most pressing questions raised by AI. An outcome of the Católica Research Centre for the Future of Law and its interdisciplinary working group on Law and Artificial Intelligence, it includes contributions by leading scholars in the fields of technology, ethics and the law.info:eu-repo/semantics/publishedVersio
Inovação na diplomacia cultural: o caso da China
This study focuses on the innovation of China’s cultural diplomacy (CCD) by means of the Confucius Institute (CI). The main contents revolve around the following research goals: 1) to understand the strategic framework and practical path of CCD, and to clarify the context of its inheritance and innovation; 2) to analyze whether the CI, epitomized as a crucial innovation of CCD, has improved China’s national image in Portuguese-speaking countries (PSCs) and enhanced the attraction and international competitiveness of Chinese culture; and 3) to explore how China can better formulate its CD strategy in line with the exigencies of the modern era. The study combines the methods of literature review, case study, and questionnaire research to explore the topics from different perspectives to strengthen the scientific nature of the research results.
In addition to the introduction and conclusion, the thesis is divided into five chapters. Chapter 1 discusses the connotation and value of CD. Chapter 2 expounds the development and innovation of CCD. Chapter 3 systematically summarizes China’s cultural interaction in its diplomatic process with PSCs. Chapter 4 elaborates on the CI in terms of its operation mode and diplomatic means. Chapter 5 forms the core of the study and involves empirical analysis of case-study and questionnaire data. It aims to investigate the functions, public image, influence, and practical means of CIs in the process of CD. Major findings indicate that CIs in PSCs have achieved ideal social feedback and play a positive role in shaping the image of China. However, according to the different continents where CIs are located, the survey results show distinct characteristics which are closely related to China’s different foreign policies towards Latin America, Europe, and Africa and are determined by the historical experiences and national conditions of the various countries. The future task for CCD is to clarify China’s institutional roots and the cultural genes behind its development by using cultural exchanges and China’s fluid culture to convey a message of China’s pursuit of peace, development, and cooperation.Este estudo tem como foco a inovação da Diplomacia Cultural da China (DCC) através do Instituto Confúcio (IC). Os principais conteúdos giram em torno dos seguintes objetivos de investigação: 1) compreender o enquadramento estratégico e o percurso prático da Diplomacia Cultural da China e clarificar o contexto da sua herança e inovação; 2) analisar se o IC, exemplo de inovação crucial da Diplomacia Cultural da China, melhorou a imagem nacional da China nos Países de Língua Oficial Portuguesa (PALOP) e aumentou a atração e competitividade internacional da cultura chinesa; e 3) explorar como a China pode formular melhor a sua estratégia de Diplomacia Cultural, de acordo com as exigências da era moderna. O estudo combina os métodos de revisão de literatura, estudo de caso e pesquisa de questionário para explorar os tópicos de diferentes perspetivas com o objetivo de fortalecer a natureza científica dos resultados de investigação.
Além da introdução e da conclusão, a tese está dividida em cinco capítulos. O Capítulo 1 discute a conotação e o valor de Diplomacia Cultural (DC). O Capítulo 2 expõe o desenvolvimento e a inovação da Diplomacia Cultural da China (DCC). O Capítulo 3 resume sistematicamente a interação cultural da China no seu processo diplomático com os Países de Língua Oficial Portuguesa (PALOP). O Capítulo 4 discorre sobre o papel do IC em termos do seu modo de operar e dos seus meios diplomáticos. O Capítulo 5 constitui o núcleo da tese e envolve a análise empírica dos dados do estudo de caso e do questionário. Tem como objetivo investigar as funções, a imagem pública, a influência e os meios práticos dos IC no processo de Diplomacia Cultural (DC). As principais descobertas indicam que os IC nos PALOP alcançaram o feedback social ideal e desempenham um papel positivo na formação da imagem da China. No entanto, de acordo com os diferentes continentes onde os IC estão situados, os resultados da pesquisa apresentam caraterísticas distintas que estão intimamente relacionadas com as diferentes políticas externas da China para a América Latina, a Europa e a África e são determinadas pelas experiências históricas e pelas condições nacionais dos vários países. A futura tarefa da Diplomacia Cultural da China (DCC) será a de esclarecer as raízes institucionais da China e os genes culturais por trás do seu desenvolvimento, usando intercâmbios culturais e a cultura fluida da China para transmitir uma mensagem de busca de paz, de desenvolvimento e de cooperação por parte da China.Programa Doutoral em Políticas Pública
LIPIcs, Volume 251, ITCS 2023, Complete Volume
LIPIcs, Volume 251, ITCS 2023, Complete Volum
2023-2024 Catalog
The 2023-2024 Governors State University Undergraduate and Graduate Catalog is a comprehensive listing of current information regarding:Degree RequirementsCourse OfferingsUndergraduate and Graduate Rules and Regulation
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Policy options for food system transformation in Africa and the role of science, technology and innovation
As recognized by the Science, Technology and Innovation Strategy for Africa – 2024 (STISA-2024), science, technology and innovation (STI) offer many opportunities for addressing the main constraints to embracing transformation in Africa, while important lessons can be learned from successful interventions, including policy and institutional innovations, from those African countries that have already made significant progress towards food system transformation. This chapter identifies opportunities for African countries and the region to take proactive steps to harness the potential of the food and agriculture sector so as to ensure future food and nutrition security by applying STI solutions and by drawing on transformational policy and institutional innovations across the continent. Potential game-changing solutions and innovations for food system transformation serving people and ecology apply to (a) raising production efficiency and restoring and sustainably managing degraded resources; (b) finding innovation in the storage, processing and packaging of foods; (c) improving human nutrition and health; (d) addressing equity and vulnerability at the community and ecosystem levels; and (e) establishing preparedness and accountability systems. To be effective in these areas will require institutional coordination; clear, food safety and health-conscious regulatory environments; greater and timely access to information; and transparent monitoring and accountability systems
Current issues of the management of socio-economic systems in terms of globalization challenges
The authors of the scientific monograph have come to the conclusion that the management of socio-economic systems in the terms of global challenges requires the use of mechanisms to ensure security, optimise the use of resource potential, increase competitiveness, and provide state support to economic entities. Basic research focuses on assessment of economic entities in the terms of global challenges, analysis of the financial system, migration flows, logistics and product exports, territorial development. The research results have been implemented in the different decision-making models in the context of global challenges, strategic planning, financial and food security, education management, information technology and innovation. The results of the study can be used in the developing of directions, programmes and strategies for sustainable development of economic entities and regions, increasing the competitiveness of products and services, decision-making at the level of ministries and agencies that regulate the processes of managing socio-economic systems. The results can also be used by students and young scientists in the educational process and conducting scientific research on the management of socio-economic systems in the terms of global challenges
Data-driven deep-learning methods for the accelerated simulation of Eulerian fluid dynamics
Deep-learning (DL) methods for the fast inference of the temporal evolution of fluid-dynamics systems, based on the previous recognition of features underlying large sets of fluid-dynamics data, have been studied. Specifically, models based on convolution neural networks (CNNs) and graph neural networks (GNNs) were proposed and discussed.
A U-Net, a popular fully-convolutional architecture, was trained to infer wave dynamics on liquid surfaces surrounded by walls, given as input the system state at previous time-points. A term for penalising the error of the spatial derivatives was added to the loss function, which resulted in a suppression of spurious oscillations and a more accurate location and length of the
predicted wavefronts. This model proved to accurately generalise to complex wall geometries not seen during training.
As opposed to the image data-structures processed by CNNs, graphs offer higher freedom on how data is organised and processed. This motivated the use of graphs to represent the state of fluid-dynamic systems discretised by unstructured sets of nodes, and GNNs to process such graphs. Graphs have enabled more accurate representations of curvilinear geometries and higher resolution placement exclusively in areas where physics is more challenging to resolve. Two novel
GNN architectures were designed for fluid-dynamics inference: the MuS-GNN, a multi-scale GNN, and the REMuS-GNN, a rotation-equivariant multi-scale GNN. Both architectures work by repeatedly passing messages from each node to its nearest nodes in the graph. Additionally, lower-resolutions graphs, with a reduced number of nodes, are defined from the original graph,
and messages are also passed from finer to coarser graphs and vice-versa. The low-resolution graphs allowed for efficiently capturing physics encompassing a range of lengthscales.
Advection and fluid flow, modelled by the incompressible Navier-Stokes equations, were the two types of problems used to assess the proposed GNNs. Whereas a single-scale GNN was sufficient to achieve high generalisation accuracy in advection simulations, flow simulation highly benefited from an increasing number of low-resolution graphs. The generalisation and long-term accuracy of these simulations were further improved by the REMuS-GNN architecture, which
processes the system state independently of the orientation of the coordinate system thanks to a rotation-invariant representation and carefully designed components. To the best of the author’s knowledge, the REMuS-GNN architecture was the first rotation-equivariant and multi-scale GNN.
The simulations were accelerated between one (in a CPU) and three (in a GPU) orders of magnitude with respect to a CPU-based numerical solver. Additionally, the parallelisation of multi-scale GNNs resulted in a close-to-linear speedup with the number of CPU cores or GPUs.Open Acces
Workshop Proceedings of the 12th edition of the KONVENS conference
The 2014 issue of KONVENS is even more a forum for exchange: its main topic is the interaction between Computational Linguistics and Information Science, and the synergies such interaction, cooperation and integrated views can produce. This topic at the crossroads of different research traditions which deal with natural language as a container of knowledge, and with methods to extract and manage knowledge that is linguistically represented is close to the heart of many researchers at the Institut für Informationswissenschaft und Sprachtechnologie of Universität Hildesheim: it has long been one of the institute’s research topics, and it has received even more attention over the last few years
Digital agriculture: research, development and innovation in production chains.
Digital transformation in the field towards sustainable and smart agriculture. Digital agriculture: definitions and technologies. Agroenvironmental modeling and the digital transformation of agriculture. Geotechnologies in digital agriculture. Scientific computing in agriculture. Computer vision applied to agriculture. Technologies developed in precision agriculture. Information engineering: contributions to digital agriculture. DIPN: a dictionary of the internal proteins nanoenvironments and their potential for transformation into agricultural assets. Applications of bioinformatics in agriculture. Genomics applied to climate change: biotechnology for digital agriculture. Innovation ecosystem in agriculture: Embrapa?s evolution and contributions. The law related to the digitization of agriculture. Innovating communication in the age of digital agriculture. Driving forces for Brazilian agriculture in the next decade: implications for digital agriculture. Challenges, trends and opportunities in digital agriculture in Brazil
Management of socio-economic transformations of business processes: current realities, global challenges, forecast scenarios and development prospects
The authors of the scientific monograph have come to the conclusion that мanagement of socio-economic transformations of business processes requires the use of mechanisms to support of entrepreneurship, sectors of the national economy, the financial system, and critical infrastructure. Basic research focuses on assessment the state of social service provision, analysing economic security, implementing innovation and introducing digital technologies. The research results have been implemented in the different models of costing, credit risk and capital management, tax control, use of artificial intelligence and blockchain. The results of the study can be used in the developing of policies, programmes and strategies for economic security, development of the agricultural sector, transformation of industrial policy, implementation of employment policy in decision-making at the level of ministries and agencies that regulate the management of socio-economic and European integration processes. The results can also be used by students and young scientists in the educational process and conducting scientific research on global challenges and creation scenarios for the development of socio-economic processes
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