The Machine Learning for Natural Languages Processing and Computer Vision research group is supported by a range of high-quality resources to conduct advanced research in artificial intelligence and machine learning.
The group's primary facility is the AI and Robotics Lab, located in the School of Engineering. Established in 2023 through the efforts of the group members and with support from the Erasmus+ program as part of the Developing Curricula for Artificial Intelligence and Robotics (DeCAIR) project, the lab provides an ideal environment for innovation and experimentation.
The group relies extensively on cloud computing platforms for scalable and efficient data processing. In addition, six high-end workstations are dedicated to deep learning tasks, including two located within the AI and Robotics Lab. These workstations are equipped with the necessary computational power to handle complex neural network training and inference tasks.
The group leverages open-source software tools such as Python, scikit-learn, and TensorFlow to develop and deploy machine learning models. These tools provide flexibility, advanced functionalities, and cost-effective solutions for conducting experiments and data analysis.
These resources are pivotal in supporting the group's cutting-edge research, enabling:
Together, these resources empower the research group to achieve its objectives, conduct high-quality investigations, and contribute significantly to the fields of natural language processing and computer vision.