DiversoLab Participates in the JIPII 2023 Doctoral School

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Engineering (JIPII 2023) organized by the Higher School of Engineering (ETS) of University of Cádiz.  After the acceptance of an article related to Process Engineering and E-Collaboration, we present the communication within the framework of the industrial doctorate on Smart Governance that we are addressing with the Provincial Information Society (INPRO).  We thank the Organizing Committee for the good reception, the exchange of knowledge and experiences, and the good times shared with the participants.  We hope to continue in this good harmony with the ETS of University of Cádiz and that the experience is repeated.
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Diverso Lab coordinará la red TASOVA PLUS de la agencia estatal de investigación con 13 universidades

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La solicitud de la red TASOVA PLUS ha sido aceptada provisionalmente con el objetivo de mejorar la colaboración y aumentar la visibilidad de las investigaciones en el campo de la arquitectura de software y la variabilidad a nivel nacional e internacional. Con la inclusión de tres nuevos nodos de investigación, la red pasa a estar conformada por 13 universidades y fortalecerá las sinergias entre los diferentes grupos de investigación y universidades colaboradoras. Actualmente esta red la forman 13 nodos y será coordinada por el DiversoLab como representante de la Universidad de Sevilla. Concretamente, los nodos participantes son la Universidad De Malaga, Universidad Del Pais Vasco, Universidad Nacional De Educacion A Distancia, Universidade Da Coruña, Universidad Politecnica De Madrid, Universidad De Cadiz, Universidad De Castilla-la Mancha, Universidad Rey Juan Carlos, Universitat…
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Diverso Lab publishes a paper at AAAI main track: the top conference on AI worldwide

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Recently, some members of the Diverso Lab attended the highly esteemed AAAI'23 conference in Washington DC, which focuses on artificial intelligence. Their visit served two purposes. Firstly, they presented their contribution, "FASTDIAGP: An Algorithm for Parallelized Direct Diagnosis," which resulted from a collaboration with TU Graz and former PhD students from Chile. Secondly, they aimed to gain knowledge and comprehension of the current state of the art in artificial intelligence, particularly in the areas of LLM (Large Language Models) and constraint problem solving. The conference was divided into three main blocks. The first block was the workshops program, which comprised a series of talks and workshops focused on specific techniques in AI. One workshop attended was on program synthesis, which featured various talks on how to automatically synthesize programs, mainly…
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Talk on natural language processing in today’s world

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natural language processing field connecting the advances with software engineering topics.   The talk addressed the role of scaling a deep learning model to achieve unprecedented results across the whole set of natural language processing evaluations. This exposition of the scaling principles began with the critical property of model parallelism and the attention mechanism, first introduced in 2017 by the famous article "Attention is all you need." Then Antonio exposed the scaling laws, which dictate the role of the model number of parameters, training data, amount of tokens, and compute time are the fundamental building blocks for optimal training. The talk showed the most influential model in the code generation scenario by the hand of DeepMind's Alpha Code. Antonio's latest research addresses mono and cross-lingual code using transformer-based language models.…
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