The ability of artificial intelligence agents to make optimal decisions and generalise them to different domains and tasks is compromised in complex s…

Simulations are an indispensable step in the cycle of theory development and refinement, helping researchers formulate precise definitions, generate models, and make accurate predictions. This paper i...

Learning efficient representations allows robust processing of data, data that can then be generalised across different tasks and domains, and it is t…

In this paper, we propose a framework to extract the algebra of the transformations of worlds from the perspective of an agent. As a starting point, we use our framework to reproduce the symmetry-base...

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The research presented in this paper advances the integration of Hebbian learning into Convolutional Neural Networks (CNNs) for image processing, systematically exploring different architectures to bu...

The research presented in this paper advances the integration of Hebbian learning into Convolutional Neural Networks (CNNs) for image processing, systematically exploring different architectures to bu...

The ability of artificial intelligence agents to make optimal decisions and generalise them to different domains and tasks is compromised in complex scenarios. One way to address this issue has focuse...

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The research presented in this paper advances the integration of Hebbian learning into Convolutional Neural Networks (CNNs) for image processing, systematically exploring different architectures to bu...

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Website of the Artificial Reseach Centre, CitAI. Academic Jobs.

Watch the on-demand video of the Times Higher Education webinar on strengthening research security in the face of rapid technological changes

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Website of the Artificial Reseach Centre, CitAI. Seminars.

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