AI & ML interests

All things AI

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yudivian  updated a model about 21 hours ago
gia-uh/cecilia-2b-instruct-v1-GGUF
yudivian  updated a model about 22 hours ago
gia-uh/cecilia-2b-instruct-v1
yudivian  published a model about 23 hours ago
gia-uh/cecilia-2b-instruct-v1-GGUF
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The Artificial Intelligence Group (GIA) is currently directed by Dr. Yudivián Almeida, it belongs to the Department of Artificial Intelligence and Computational Systems, of the Faculty of Mathematics and Computing of the University of Havana.

This research group has approximately 10 researchers, and the team consists of both by senior researchers, post-doctoral and pre-doctoral researchers. It is a group dynamic and proactive who organize different internal seminars, collaborate with various collaborations with international centers, such as the Paris 1 Panthéon-Sorbonne University (France), the University of University of Alicante (Spain) or the University of Montreal (Canada) and currently have several research projects related to the subject of Artificial Intelligence with treatment of heterogeneous data in execution phase.

The objective of the research group is to investigate topics related to Artificial Intelligence. Within this area of ​​research, 4 fundamental areas are explored:

  • intelligent generation, processing, and analysis of natural language;

  • machine learning and its applications;

  • solutions based on metaheuristics for complex problems; and

  • robotics.

  • From this, results have been obtained in exploring the linguistic and computational issues involved in areas such as:

  • the generation of natural language, the recognition of the textual implication, the speech and the modeling of the dialogue, the pragmatics and multilinguality;

  • develop computational tools for knowledge inference;

  • the interaction between representation and inference in computational semantics for natural language;

  • the design of metaheuristics for solving large problems;

  • the design of optimal flows or ensembles of machine learning algorithms; and

  • the design of robotic instruments.