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CHALMERS TEKNISKA HÖGSKOLA AKTIEBOLAG has floated a tender for Snic Artificial Intelligence-Machine Learning. The project location is Sweden and the tender is closing on 15 Mar 2021. The tender notice number is 094964-2021, while the TOT Ref Number is 50563465. Bidders can have further information about the Tender and can request the complete Tender document by Registering on the site.
Procurement Summary
Country : Sweden
Summary : Snic Artificial Intelligence-Machine Learning
Deadline : 15 Mar 2021
Other Information
Notice Type : Tender
TOT Ref.No.: 50563465
Document Ref. No. : 094964-2021
Financier : Self Financed
Purchaser Ownership : -
Tender Value : Refer Document
Purchaser's Detail
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Login to see detailsTender Details
Document Type : Corrigendum/Additional information (Please refer tender document)
Title : SNIC Artificial Intelligence-Machine Learning
Reference Number : C 2020-2007
Contract Type : Supplies
Description : The resource outlined here is intended for research in or research using Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) methods. With such a broad range of applications and users (much of what the resource will be used for is yet unknown!), the resource must be designed with a good balance between the total resources available, performance and flexibility.
30230000 - Computer-related equipment
30200000 - Computer equipment and supplies
48820000 - Servers
48780000 - System, storage and content management software package
72262000 - Software development services
72260000 - Software-related services
30233000 - Media storage and reader devices
48210000 - Networking software package
48519000 - Memory-management software package
48460000 - Analytical, scientific, mathematical or forecasting software package
72250000 - System and support services
30234000 - Storage media
Authority Type : Other
Type of Procedure : Open procedure
Regulation : European Union, with participation by GPA countries
Bid Type : Submission for all lots
Doc Title : Computer equipment and supplies
Dispatch Date : 2021-02-19
Publish Date : 2021-02-24
Submission Date : 2021-03-...
Documents
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