AIvLAB @ VISION
Virtual Artificial Intelligence Laboratory
AIvLAB is the result of a partnership between the FCT, the HPC-UÉ center, and the BigData@UÉ Laboratory. This virtual AI laboratory will serve to boost the AI, Data Science, and Big Data communities through easy access to the Vision platform, promoting tool experimentation, and supporting HPC and AI training. Aligned with the mission of the RNCA and the EuroCC2 project, this initiative simplifies access to Artificial Intelligence technologies.
Vision is a machine from the University of Évora, specially designed for Artificial Intelligence (AI) work, in algorithms of machine learning.
Duration: Pilot Project until December 31, 2024. Each user will have up to 6 months of access.
Associated resources: Each user will be able to access 500 to 5,000 GPU node hours. The total allocation is 25,000 GPU node hours.
AIvLAB objectives and target audience:
- Supporting inexperienced users and CPCA candidates who want to test AI tools on GPUs.
- Test AI tools in pilot projects in the industry and public administration sectors
- Support AI training within the scope of EuroCC2, as well as welcome professors of courses taught at HEIs who request resources to test AI tools and algorithms with GPUs.
To enhance and increase the use of AI techniques in national research and innovation communities and to provide resources from the VISION platform installed at the University of Évora.
Deadline for accepting applications: November 15, 2024.
VISION
Installed in 2021
Vision consists of 2 nodes
Each node equipped with 8 NVIDIA A100 GPUs (40 GB),
256 CPU cores and 1TB of RAM.
Contacts for clarification: support@vision.uevora.pt | rnca@fccn.pt
Approved projects:
| Reference | Title in PT or EN | Platform |
| 2024.AIvLAB.00001.VISION | Understanding Splicing | Vision |
| 2024.AIvLAB.00002.VISION | Automatic detection of detached or falling ceramic coverings in building images obtained by unmanned aerial vehicles | Vision |
| 2024.AIvLAB.00003.VISION | Automatic detection of seismic events | Vision |
| 2024.AIvLAB.00004.VISION | XAI techniques for medical image patterns | Vision |
| 2024.AIvLAB.00005.VISION | Handwritten text recognition | Vision |
| 2024.AIvLAB.00006.VISION | Application of vision transformers in the early detection of excavation in the BRSET base | Vision |
| 2024.AIvLAB.00007.VISION | Pathology Detection in Ocular Images | Vision |
| 2024.AIvLAB.00008.VISION | Retinitis Pigmentosa: Data augmentation using generative methods to improve detection | Vision |
| 2024.AIvLAB.00009.VISION | Application of Artificial Intelligence in Detecting Botnet and DDOS Attacks on Electric Vehicle Charging Stations | Vision |
| 2024.AIvLAB.00010.VISION | Deep Learning Methods for Detecting Urban Landscape Evolution through Satellite Images | Vision |
| 2024.AIvLAB.00011.VISION | SWIFT-X (Smart Wireless Fracture Identification with X-ray Technology) | Vision |
| 2024.AIvLAB.00012.VISION | Tracking Humans and Personal Objects with Machine Learning | Vision |
| 2024.AIvLAB.00013.VISION | BattAIHealth | Vision |
| 2024.AIvLAB.00014.VISION | Read & Write Machine Learning for outlier detection | Vision |