The Vision platform introductory training welcomes the first users and marks the launch of the AIvLAB laboratory. The session "Introduction to the VISION Artificial Intelligence Cluster" will be held online on June 20 , from 11:00 to 12:30 (Lisbon time).
Following on from the recently created AIvLAB Laboratory, FCCN, the digital services of the Foundation for Science and Technology, the High Performance Computing Center of the University of Évora and the BigData@UÉ Laboratory, are promoting this training to boost the use of Artificial Intelligence and Machine Learning techniques in the research and innovation communities, providing resources and support for experimentation and project development .
Don't miss the opportunity to take advantage of AIvLAB's resources and explore Vision, an advanced computing infrastructure installed at the University of Évora and dedicated to Artificial Intelligence.
Discover Vision
Vision is a high-performance, robust computing system designed for Artificial Intelligence work, making it an excellent tool for the AI, Big Data and Data Science community.
The training session "Introduction to the VISION Artificial Intelligence Cluster" aims to introduce Vision, showing how it is organized, how to access it and how it can be used to solve Artificial Intelligence problems.
AIvLAB
AIvLAB, a partnership between FCCN, FCT's digital services, the HPC-UÉ center and the BigData@UÉ Laboratory, is a virtual laboratory that aims to promote access to the Vision platform, encouraging experimentation in AI and Machine Learning. The pilot project runs until December 31, 2024, with access for up to 6 months for each user.
Session Program | June 20th
- 11:00 - 11:05: Start of the session
- 11:05 - 11:10: Vision presentation
- 11:10 - 11:15: Organization of Vision
- 11:15 - 11:20: How to access Vision
- 11:20 - 11:30: How to use Vision
- 11:30 - 11:45: How to submit jobs
- 11:45 - 12:00: Questions and queries
Registration
Registration is now open! Make sure you take part in this session for the AI and Big Data community. For more information and registration, visit the event page.
