simulationz.ai is deeply engaged in academic research, allowing us to stay at the forefront of AI advancements. This ensures we keep pace with emerging trends and contribute to shaping AI's future. Below are some highlights of our research initiatives.
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Selected Research Publications
Workshop on Case-Based Reasoning and Large Language Model Synergies (CBR-LLM) in Proc. of the Workshops at the 32nd International Conference on Case-Based Reasoning (ICCBR-WS 2024) co-located with the 32nd International Conference on Case-Based Reasoning (ICCBR 2024), CEUR-WS Vol-3708, 2024.
Watson, I. (2024). A Case-Based Persistent Memory for a Large Language Model, in Proc. of the Workshops at the 32nd International Conference on Case-Based Reasoning (ICCBR-WS 2024) co-located with the 32nd International Conference on Case-Based Reasoning (ICCBR 2024), CEUR-WS Vol-3708 pp. 19-25. arXiv:2310.08842
A. Keesing, I. Watson, and M. Witbrock, Convolutional and Recurrent Neural Networks for Spoken Emotion Recognition, in ALTA 2020, Dec. 2020, pp. 104–109.
Jonathan Rubin & Ian Watson. (2011). Computer poker: A review. Artificial Intelligence, 175(5-6):958-987. https://doi.org/10.1016/j.artint.2010.12.005
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