{"id":72256,"date":"2026-06-20T09:00:08","date_gmt":"2026-06-20T08:00:08","guid":{"rendered":"https:\/\/aicongress.barcelona\/?p=72256"},"modified":"2026-09-04T13:07:55","modified_gmt":"2026-09-04T12:07:55","slug":"keynote-speakerjezabel-r-garcia-directora-de-investigacion-multiverse-computing","status":"publish","type":"post","link":"https:\/\/aicongress.barcelona\/es\/keynote-speakerjezabel-r-garcia-directora-de-investigacion-multiverse-computing\/","title":{"rendered":"11.30h a 12.10h
Keynote Speaker:
Jezabel R. Garcia, Directora de investigaci\u00f3n en IA, MULTIVERSE COMPUTING"},"content":{"rendered":"

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KEYNOTE SPEAKER: De los grandes modelos a la IA soberana: compresi\u00f3n, Edge AI y el futuro de la inteligencia artificial<\/h2><\/div>
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20 octubre 2026 | 11<\/strong>.30h a 12.10h<\/h3>\n

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La inteligencia artificial ha estado marcada por una carrera hacia modelos cada vez m\u00e1s grandes. Sin embargo, la pr\u00f3xima revoluci\u00f3n har\u00e1 que la IA pueda ejecutarse de forma eficiente all\u00ed donde aporta m\u00e1s valor: en dispositivos, empresas, infraestructuras cr\u00edticas y administraciones p\u00fablicas. La compresi\u00f3n de modelos permite reducir dr\u00e1sticamente su tama\u00f1o y coste computacional sin perder capacidad, facilitando el despliegue de IA avanzada en el edge con menor consumo energ\u00e9tico y mayor privacidad. Esta conferencia presentar\u00e1 los \u00faltimos avances en compresi\u00f3n de modelos, sus aplicaciones industriales y su papel estrat\u00e9gico en el desarrollo de una IA soberana, eficiente y sostenible.<\/h4>\n

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Presenta:<\/h2><\/div>
<\/span><\/div><\/div>[\/vc_column][\/vc_row][vc_row full_width=\u00bbstretch_row\u00bb bg_type=\u00bbbg_color\u00bb bg_color_value=\u00bb#ffffff\u00bb css=\u00bb.vc_custom_1683718841357{padding-top: 30px !important;padding-bottom: 30px !important;}\u00bb][vc_column][vc_row_inner][vc_column_inner width=\u00bb1\/4″][vc_empty_space][vc_single_image image=\u00bb68523″ img_size=\u00bbfull\u00bb css=\u00bb\u00bb][vc_empty_space][vc_column_text css=\u00bb\u00bb]<\/p>\n

CIDAI<\/b><\/a> | LinkedIn<\/strong><\/a><\/p>\n

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JOAN MAS<\/h2><\/div>
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Director, CIDAI<\/h4>\n

Joan Mas es ingeniero de Telecomunicaciones (UPC) y MBA (Webster University). Trabaj\u00f3 10 a\u00f1os en la Agencia Espacial Europea, Pa\u00edses Bajos, en los proyectos ENVISAT y METOP, sat\u00e9lites de observaci\u00f3n de la Tierra. De 2000 a 2008 desarroll\u00f3 en NTE S.A., equipamiento para la Estaci\u00f3n Espacial Internacional y sistemas de apoyo a la vida para misiones espaciales tripuladas. Hasta 2024 ha sido Director de la Divisi\u00f3n de Tecnolog\u00edas Digitales en Eurecat, impulsando desarrollos en \u00e1mbitos como Data Analytics y Big Data, Inteligencia Artificial, Ciberseguridad y otros para aplicaciones multisectoriales. Actualmente, es Director Cient\u00edfico en el \u00e1mbito digital en Eurecat y, desde 2021, tambi\u00e9n es Director del CIDAI.<\/p>\n

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Ponente:<\/h2><\/div>
<\/span><\/div><\/div>[\/vc_column][\/vc_row][vc_row full_width=\u00bbstretch_row\u00bb bg_type=\u00bbbg_color\u00bb bg_color_value=\u00bb#ffffff\u00bb css=\u00bb.vc_custom_1683718841357{padding-top: 30px !important;padding-bottom: 30px !important;}\u00bb][vc_column][vc_row_inner][vc_column_inner width=\u00bb1\/4″][vc_empty_space][vc_single_image image=\u00bb73167″ img_size=\u00bbfull\u00bb css=\u00bb\u00bb][vc_empty_space][vc_column_text css=\u00bb\u00bb]<\/p>\n

MULTIVERSE COMPUTING<\/b><\/a> | LinkedIn<\/strong><\/a><\/p>\n

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JEZABEL R. GARCIA<\/h2><\/div>
<\/span><\/div>
<\/p>\n

Directora de investigaci\u00f3n en IA, MULTIVERSE COMPUTING<\/h4>\n

<\/div><\/div>[vc_column_text css=\u00bb\u00bb][\/vc_column_text][vc_column_text css=\u00bb\u00bb]Jezabel R. Garcia es AI Research Manager en Multiverse, donde dirige l\u00edneas de investigaci\u00f3n en aprendizaje por refuerzo y alineamiento, compresi\u00f3n y eficiencia de modelos, y evaluaci\u00f3n de modelos. Gran parte de su trabajo en los m\u00e9todos que hacen a los modelos m\u00e1s capaces y fiables, junto con un marcado inter\u00e9s pr\u00e1ctico por la evaluaci\u00f3n y el an\u00e1lisis de fallos. Jezabel contribuye a los esfuerzos de su empresa en modelos multiling\u00fces, con especial inter\u00e9s en modelos que funcionen bien en lenguas europeas.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][\/vc_section]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"

Los \u00faltimos avances en compresi\u00f3n de modelos, sus aplicaciones industriales y su papel estrat\u00e9gico en el desarrollo de una IA soberana, eficiente y sostenible.<\/p>\n","protected":false},"author":10,"featured_media":71572,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[646],"tags":[],"class_list":["post-72256","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-20-octubre-es-bloc2","category-646","description-off"],"yoast_head":"\n11.30h a 12.10hKeynote Speaker:Jezabel R. 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