{"id":8822,"date":"2025-11-07T16:00:33","date_gmt":"2025-11-07T15:00:33","guid":{"rendered":"https:\/\/valgrai.eu\/?p=8822"},"modified":"2025-11-07T16:29:45","modified_gmt":"2025-11-07T15:29:45","slug":"xx-valgrai-matinal-de-investigacion-ia-para-la-optimizacion-industrial-y-modulos-de-recuperacion","status":"publish","type":"post","link":"https:\/\/valgrai.eu\/en\/2025\/11\/07\/xx-valgrai-matinal-de-investigacion-ia-para-la-optimizacion-industrial-y-modulos-de-recuperacion\/","title":{"rendered":"XX ValgrAI Morning Research Session \u2013 AI for industrial optimisation and recovery modules"},"content":{"rendered":"[vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text text_direction=”default”]Today, the 7th of November<\/strong>, we have achieved another milestone: we have completed twenty editions of our Research Mornings<\/strong>! Created as a space for innovation and research, our monthly meetings have established themselves as a meeting point for professionals, researchers, and enthusiasts of Artificial Intelligence. This session focused on two very interesting projects that address issues that are somewhat disparate but share several common points: advanced evaluation of RAG systems and intelligent optimization in industrial processes.<\/p>\n

Why are these advances relevant?<\/strong><\/p>\n

Both proposals reflect a commitment to applied innovation and technology transfer. From enhancing the reliability of retrieval systems to revolutionizing industrial processes, this research solidifies the Valencian Community’s position as a leader in Artificial Intelligence.[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][divider line_type=”Full Width Line” line_thickness=”1″ divider_color=”default”][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text text_direction=”default”]\n

1. Retri-Eval: an evaluation method for retrieval modules in RAG systems<\/h3>\n

Speaker<\/strong>: Isabel Benlloch
\nSummary of the talk:<\/strong>
\nIn the first presentation of the 20th edition of ValgrAI’s Research Mornings, Isabel Benlloch explains how the Retri-Eval proposal introduces a cooperative multi-agent system, composed of four agents based on LLMs, which analyse the retrieved documents from different qualitative dimensions. This approach overcomes the limitations of traditional metrics (precision and recall) and ensures more robust and adaptable evaluations. The method is validated with the RAGBench dataset, demonstrating its ability to deliver consistent results across diverse domains.[\/vc_column_text][vc_video link=”https:\/\/www.youtube.com\/watch?v=evbw3mEtxjk” align=”center”][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][divider line_type=”Full Width Line” line_thickness=”1″ divider_color=”default”][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text text_direction=”default”]\n

2. Expert Brain: Optimisation of additive manufacturing through intelligent agents.<\/h3>\n

Speakers<\/strong>: Antonio Luis S\u00e1nchez Torres and Olaf Meneses
Summary of the talk:<\/strong><\/p>\n

In the second presentation of the day, given by Antonio Luis S\u00e1nchez Torres and Olaf Meneses, Expert Brain was presented, a project that revolutionises additive manufacturing by automating processes that traditionally depend on expert knowledge. Based on a multi-agent framework (SPADE), Expert Brain integrates specialised agents powered by LLMs to collaborate on tasks such as material selection and parameter calibration. This architecture transforms a slow, empirical process into an agile, data-driven system capable of solving complex industrial problems autonomously. The initiative opens the door to a new era of intelligent production, where AI not only optimises, but also learns and adapts to changing scenarios.<\/div>\n[\/vc_column_text][vc_video link=”https:\/\/youtu.be\/ZY6YtwUrq80″ align=”center”][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][divider line_type=”Full Width Line” line_thickness=”1″ divider_color=”default”][vc_column_text text_direction=”default”]\n
This Research Morning<\/strong> has presented representative cases of technological innovation in various sectors, with the aim of highlighting the talent and diversity that have characterised the contemporary and future development of Artificial Intelligence.<\/div>\n
<\/div>\n
Thank you for attending this edition!<\/strong><\/div>\n[\/vc_column_text][\/vc_column][\/vc_row]\n","protected":false},"excerpt":{"rendered":"

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