Project cooperationUpdated on 9 May 2025
Creating innovative AI-based solutions
About
I have over thirty years experience in developing be-spoke state-of-the-art solutions in machine learning and NLP (natural language processing e.g. large language models).
Researchers in the AIMLAC (AI, Machine Learning and Advanced Computing) [https://cdt-aimlac.org/research] group in the School of Computer Science and Engineering at Bangor University [https://www.bangor.ac.uk/scse] have recently made significant breakthroughs in the application of large language models (e.g. deep learning neural networks as used in generative AI applications) to various problems in NLP. We also have a long history of successful applications of traditional machine learning models and be-spoke compression-based language models to various problems across many domains in science and industry. These models often achieve state-of-the-art performance when compared with alternative approaches.
I am looking for opportunities where these state-of-the-art AI-based solutions can be applied to interesting problems where the results can have significant impact and be a game changer.
I am specifically looking to join calls as a partner that have strong AI, machine learning, NLP and digital components requiring the development of novel be-spoke solutions to processing large volumes of data in innovative ways.
Stage
- Early stage
Type
- Partner looking for consortium
Organisation
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Beata Kupiec-Teahan
Lecturer in Management at Bangor University
Bangor, Wales., United Kingdom
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Habet Madoyan
Data science program chair at American University of Armenia
Yerevan, Armenia
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- Partner looking for consortium
Beata Kupiec-Teahan
Lecturer in Management at Bangor University
Bangor, Wales., United Kingdom