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Bastiaan Quast
Bastiaan Quast is a Dutch Machine learning researcher. He is the author and lead maintainer of the open-source rnn antransformerdeep-learning frameworks in the R programming language, and the datasets.load GUI package, as well as R packages on Global Value Chain decomposition & WIOD and on Regression Discontinuity Design. Quast is a great-great-grandson of the Nobel Peace Prize laureate Tobias Asser. Early life and education Bastiaan Quast graduated from University of Groningen with a bachelor's degree in Economics and bachelor's degree in Theoretical philosophy. He holds a master's degree in Econometrics from the University of St. Gallen He obtained his Ph.D from the Graduate Institute of International and Development Studies with advisors Richard Baldwin and Jean-Louis Arcand, his work on local languages and internet usage was discussed at the 2017 G20 meeting in Germany. Career Quast is an functionary of the United Nations at the International Telecommunication Union, ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Richard Baldwin (economist)
Richard E. Baldwin is a professor of international economics at the Graduate Institute of International and Development Studies in Geneva, where he has been researching globalization and trade since 1991. He was the former President of the Centre for Economic Policy Research (CEPR). He is Editor-in-Chief of VoxEU, which he founded in June 2007. He is a research associate at the National Bureau of Economic Research and was twice elected as a Member of the Council of the European Economic Association. Baldwin has been called "one of the most important thinkers in this era of global disruption". Career After obtaining a bachelor's degree in economics from the University of Wisconsin-Madison in 1980, he received a master's degree from the London School of Economics in 1981. He completed his PhD at MIT in 1986 under the guidance of Paul Krugman, with whom he has co-authored half a dozen articles. He received honorary doctorates from the Turku School of Economics (Finland), Universit ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
2017 G20 Hamburg Summit
The 2017 G20 Hamburg summit was the twelfth meeting of the Group of Twenty (G20), which was held on 7–8 July 2017, at Hamburg Messe, in the city of Hamburg, Germany. Agenda Apart from the recurring themes relating to global economic growth, international trade and financial market regulation, the G20 Hamburg summit was expected to focus on the following "issues of global significance": Migration, digitisation, occupation, health, Women's Economic Empowerment and development aid. On 7 July terrorism, free trade and the United States' withdrawal from the Paris Agreement were on the agenda, on 8 July Africa was supposed to be a topic. Results The 30-page summary paper stayed vague in many sections. The communique of the 20 participants itself was seen as a success. The resolutions are not legally binding. Many additional documents were agreed upon, barely noticed by the public.(Annex in Weblink-PDF) Wolfgang Schäuble, German Federal Minister of Finance, insisted on the in ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data Scientists
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract or extrapolate knowledge and insights from noisy, structured and unstructured data, and apply knowledge from data across a broad range of application domains. Data science is related to data mining, machine learning, big data, computational statistics and analytics. Data science is a "concept to unify statistics, data analysis, informatics, and their related methods" in order to "understand and analyse actual phenomena" with data. It uses techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, information science, and domain knowledge. However, data science is different from computer science and information science. Turing Award winner Jim Gray imagined data science as a "fourth paradigm" of science ( empirical, theoretical, computational, and now data-driven) and asserted that "everything about science i ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Dutch Computer Scientists
Dutch commonly refers to: * Something of, from, or related to the Netherlands * Dutch people () * Dutch language () Dutch may also refer to: Places * Dutch, West Virginia, a community in the United States * Pennsylvania Dutch Country People Ethnic groups * Germanic peoples, the original meaning of the term ''Dutch'' in English ** Pennsylvania Dutch, a group of early Germanic immigrants to Pennsylvania *Dutch people, the Germanic group native to the Netherlands Specific people * Dutch (nickname), a list of people * Johnny Dutch (born 1989), American hurdler * Dutch Schultz (1902–1935), American mobster born Arthur Simon Flegenheimer * Dutch Mantel, ring name of American retired professional wrestler Wayne Maurice Keown (born 1949) * Dutch Savage, ring name of professional wrestler and promoter Frank Stewart (1935–2013) Arts, entertainment, and media Fictional characters * Dutch (''Black Lagoon''), an African-American character from the Japanese manga and anime ''Black L ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Living People
Related categories * :Year of birth missing (living people) / :Year of birth unknown * :Date of birth missing (living people) / :Date of birth unknown * :Place of birth missing (living people) / :Place of birth unknown * :Year of death missing / :Year of death unknown * :Date of death missing / :Date of death unknown * :Place of death missing / :Place of death unknown * :Missing middle or first names See also * :Dead people * :Template:L, which generates this category or death years, and birth year and sort keys. : {{DEFAULTSORT:Living people 21st-century people People by status ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Year Of Birth Missing (living People)
A year or annus is the orbital period of a planetary body, for example, the Earth, moving in its orbit around the Sun. Due to the Earth's axial tilt, the course of a year sees the passing of the seasons, marked by change in weather, the hours of daylight, and, consequently, vegetation and soil fertility. In temperate and subpolar regions around the planet, four seasons are generally recognized: spring, summer, autumn and winter. In tropical and subtropical regions, several geographical sectors do not present defined seasons; but in the seasonal tropics, the annual wet and dry seasons are recognized and tracked. A calendar year is an approximation of the number of days of the Earth's orbital period, as counted in a given calendar. The Gregorian calendar, or modern calendar, presents its calendar year to be either a common year of 365 days or a leap year of 366 days, as do the Julian calendars. For the Gregorian calendar, the average length of the calendar year (the ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
VoxEU
The Centre for Economic Policy Research (CEPR) is an independent, non‐partisan, pan‐European non‐profit organisation. Its mission is to enhance the quality of policy decisions through providing policy‐relevant research, based soundly in economic theory, to policymakers, the private sector and civil society. Rather than adopting the traditional in-house ‘think-tank’ research structure, CEPR appoints Research Fellows and Affiliates who remain in their home institutions (universities, research institutes, central bank research departments, and international organisations). CEPR’s network includes over 1,700 of the world's top economists from over 330 institutions in 30 countries. The results of the research conducted by the Centre's network are disseminated through a variety of publications, public meetings, workshops and conferences. Its headquarters is currently located in London. History CEPR was founded in 1983 by Richard Portes, FBA, CBE, to enhance the qualit ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
UNCTAD
The United Nations Conference on Trade and Development (UNCTAD) is an intergovernmental organization within the United Nations Secretariat that promotes the interests of developing countries in world trade. It was established in 1964 by the United Nations General Assembly (UNGA) and reports to that body and the United Nations Economic and Social Council (ECOSOC). UNCTAD is composed of 195 member states and works with nongovernmental organizations worldwide; its permanent secretariat is in Geneva, Switzerland. The primary objective of UNCTAD is to formulate policies relating to all aspects of development, including trade, aid, transport, finance and technology. It was created in response to concerns among developing countries that existing international institutions like GATT (now replaced by the World Trade Organization), the International Monetary Fund (IMF), and the World Bank were not properly organized to handle the particular problems of developing countries; UNCTAD wou ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Gated Recurrent Unit
Gated recurrent units (GRUs) are a gating mechanism in recurrent neural networks, introduced in 2014 by Kyunghyun Cho et al. The GRU is like a long short-term memory (LSTM) with a forget gate, but has fewer parameters than LSTM, as it lacks an output gate. GRU's performance on certain tasks of polyphonic music modeling, speech signal modeling and natural language processing was found to be similar to that of LSTM. GRUs have been shown to exhibit better performance on certain smaller and less frequent datasets. Architecture There are several variations on the full gated unit, with gating done using the previous hidden state and the bias in various combinations, and a simplified form called minimal gated unit. The operator \odot denotes the Hadamard product in the following. Fully gated unit Initially, for t = 0, the output vector is h_0 = 0. : \begin z_t &= \sigma_g(W_ x_t + U_ h_ + b_z) \\ r_t &= \sigma_g(W_ x_t + U_ h_ + b_r) \\ \hat_t &= \phi_h(W_ x_t + U_ (r_t \odot ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Long Short-term Memory
Long short-term memory (LSTM) is an artificial neural network used in the fields of artificial intelligence and deep learning. Unlike standard feedforward neural networks, LSTM has feedback connections. Such a recurrent neural network (RNN) can process not only single data points (such as images), but also entire sequences of data (such as speech or video). For example, LSTM is applicable to tasks such as unsegmented, connected handwriting recognition, speech recognition, machine translation, robot control, video games, and healthcare. The name of LSTM refers to the analogy that a standard RNN has both "long-term memory" and "short-term memory". The connection weights and biases in the network change once per episode of training, analogous to how physiological changes in synaptic strengths store long-term memories; the activation patterns in the network change once per time-step, analogous to how the moment-to-moment change in electric firing patterns in the brain store short- ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Machine Learning
Machine learning (ML) is a field of inquiry devoted to understanding and building methods that 'learn', that is, methods that leverage data to improve performance on some set of tasks. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, agriculture, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.Hu, J.; Niu, H.; Carrasco, J.; Lennox, B.; Arvin, F.,Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep Reinforcement Learning IEEE Transactions on Vehicular Technology, 2020. A subset of machine learning is closely related to computational statistics, which focuses on making predicti ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
ITU AI For Good
AI for Good is an ongoing webinar series organized by the Standardization Bureau (ITU-T) of the International Telecommunication Union, where AI innovators and problem owners learn, discuss and connect to identify AI solutions to advance the Sustainable Development Goals. The impetus for organizing global summits that are action oriented, came from existing discourse in artificial intelligence (AI) research being dominated by research streams such as the Netflix Prize (improve the movie recommendation algorithm). AI for Good aims to bring forward Artificial Intelligence research topics that contribute towards more global problems, in particular through the Sustainable Development Goals. AI for Good came out of the AI for Good Global Summit 2020 which had been moved online in 2020 due to the COVID-19 Pandemic. AI for Good is organized by the Standardization Sector of the ITU (ITU-T). Since moving online, AI for Good developed into three main program streams: Learn, Build, and Conn ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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