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Constructor University, [2][3] formerly Jacobs University Bremen, is an international, private, residential research university located in Vegesack, Bremen, Germany. It offers study programs in engineering, humanities, natural and social sciences, in which students can acquire bachelor's, master's or doctorate degrees.
Constructor Institute. Constructor Institute of Technology, formerly known as Constructor Institute and Schaffhausen Institute of Technology (SIT), is a private non-profit institute in Switzerland founded in 2019 by tech entrepreneur and investor Serg Bell. The Institute is a part of Constructor Group, comprising education services, technology ...
Peter Baumann (computer scientist) Peter Baumann (born 1960 in Rosenheim) is a German computer scientist and professor at Constructor (formerly: Jacobs) University, Bremen, Germany, where he is head of the Large-Scale Scientific Information Systems research group in the Department of Computer Science and Electrical Engineering.
Serg Bell (born Sergey Mikhaylovich Belousov, Russian: Сергей Михайлович Белоусов, 2 August 1971) is a singaporean businessman born in Leningrad, USSR, entrepreneur, investor and speaker, the founder and chairman of the board of Constructor, formerly known as Schaffhausen Institute of Technology (SIT) and multiple global IT companies, including Acronis, a global data ...
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Family background. Von Neumann was born in Budapest, Kingdom of Hungary (then part of the Austro-Hungarian Empire), [13][14][15] on December 28, 1903, to a wealthy, non-observant Jewish family. His birth name was Neumann János Lajos. In Hungarian, the family name comes first, and his given names are equivalent to John Louis in English.
Virtual private network (VPN) is a network architecture for virtually extending a private network (i.e. any computer network which is not the public Internet) across one or multiple other networks which are either untrusted (as they are not controlled by the entity aiming to implement the VPN) or need to be isolated (thus making the lower network invisible or not directly usable).
Transfer learning (TL) is a technique in machine learning (ML) in which knowledge learned from a task is re-used in order to boost performance on a related task. [1] For example, for image classification, knowledge gained while learning to recognize cars could be applied when trying to recognize trucks.
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