AI/ML expertise

SRPIAS team has extensive experiences in all aspects of artificial intelligence (machine learning) related to (practically all) calls within CL1). These include, but are not limited to:

• old-fashioned AI/ML (e.g. decision support systems, data clustering, time series analysis, nature inspired algorithms, etc.)

• deep neural networks and their applications (image processing, anomaly detection, signal processing, drift detection, life / continual long learning, continual learning, etc.)

• natural language processing

• generative AI and applications (including LMM and RAG)

• semantic technologies (e.g. ontologies, knowledge graphs and their applications)

• explainable AI

• frugal AI (e.g. AI on the edge, AI on resource constraint devices, etc.)

• federated learning

• reinforcement learning and its applications

• etc.