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RTS | How to cohabit with ChatGPT? [In French]
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February 7, 2017
Neue Zürcher Zeitung | A data lake, not a data swamp [In German]
Neue Zürcher Zeitung | A data lake, not a data swamp [In German]
Articles about the SDSC
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April 3, 2023
Whitepaper | Swiss Data Custodian
Whitepaper | Swiss Data Custodian
Ensuring compliance with privacy regulations can be a challenging task, requiring continuous monitoring and the ongoing collection of consent for data usage. The Swiss Data Custodian is an open-source framework that provides the necessary tools to govern data access and processing and enables secure and compliant data usage through contractual agreements.
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March 29, 2019
The "Deep Dive" of natural language processing | Part 1
The "Deep Dive" of natural language processing | Part 1
Natural language processing, i.e. the automated processing of human language with computers, is certainly not a new discipline. Some date it back to 1950, with Alan Turing’s famous test which a machine would pass by holding a convincingly “human” conversation.
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April 29, 2021
A 3rd SDSC office at the Paul Scherrer Institute
A 3rd SDSC office at the Paul Scherrer Institute
Another office for the Swiss Data Science Center will be established at the Paul Scherrer Institute PSI. To this end, the ETH Board has approved an increase of five million Swiss francs in the budget of the strategic focus area Data Science. The main aim of this expansion is to help improve the evaluation and processing of the growing amounts of data from large and complex research infrastructures, sensor networks, and databases at PSI and the other three federal research institutes, Empa, WSL, and Eawag. The resources and expertise will be available to all institutes in the ETH Domain.
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May 2, 2019
ACE-DATA | Antarctic circumnavigation expedition – delivering added value to Antarctica
ACE-DATA | Antarctic circumnavigation expedition – delivering added value to Antarctica
Understanding the complexity of the Earth systems and our climate is important to be able to make predictions about how they may change in the future. To do this, scientists use models which describe the relevant processes.
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