{"id":68714,"date":"2025-06-26T10:16:38","date_gmt":"2025-06-26T09:16:38","guid":{"rendered":"https:\/\/aicongress.barcelona\/compneuromorf\/"},"modified":"2025-07-03T14:47:24","modified_gmt":"2025-07-03T13:47:24","slug":"compneuromorf","status":"publish","type":"post","link":"https:\/\/aicongress.barcelona\/es\/compneuromorf\/","title":{"rendered":"11.50h a 12.30h
La computaci\u00f3n neurom\u00f3rfica"},"content":{"rendered":"

[vc_section][vc_row css=\u00bb.vc_custom_1681910300131{padding-bottom: 30px !important;}\u00bb][vc_column]

La computaci\u00f3n neurom\u00f3rfica<\/h2><\/div>
<\/span><\/div>
<\/p>\n

22 octubre 2025 |\u00a0<\/strong>11.50h a 12.30h<\/h3>\n

<\/div><\/div>[\/vc_column][\/vc_row][vc_row full_width=\u00bbstretch_row\u00bb bg_type=\u00bbbg_color\u00bb bg_color_value=\u00bb#ededed\u00bb css=\u00bb.vc_custom_1681913912294{padding-top: 30px !important;padding-bottom: 30px !important;}\u00bb][vc_column][vc_row_inner][vc_column_inner][vc_column_text css=\u00bb\u00bb]<\/p>\n

Los microprocesadores y unidades de procesamiento gr\u00e1fico que implementan inteligencia artificial computan y almacenan la informaci\u00f3n en unidades distintas, lo que conlleva un gran desperdicio de tiempo y energ\u00eda en la transferencia de datos.<\/h4>\n

En esta charla, presentar\u00e9 un paradigma de computaci\u00f3n radicalmente nuevo llamado computaci\u00f3n neurom\u00f3rfica, que ha demostrado ser hasta 1000 veces m\u00e1s eficiente energ\u00e9ticamente en sistemas peque\u00f1os. Este nuevo enfoque se basa en el uso de neuronas y sinapsis electr\u00f3nicas para el c\u00e1lculo en memoria, y mostrar\u00e9 c\u00f3mo nuestro equipo ha reducido su complejidad, abriendo la puerta a la escalabilidad y comercializaci\u00f3n de sistemas de inteligencia artificial de bajo consumo energ\u00e9tico.<\/h4>\n

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Keynote speaker<\/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=\u00bb68684″ img_size=\u00bbfull\u00bb css=\u00bb\u00bb][vc_empty_space][vc_column_text css=\u00bb\u00bb]<\/p>\n

www.lanzalab.org<\/strong><\/a> | LinkedIn<\/a><\/strong><\/p>\n

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MARIO LANZA<\/h2><\/div>
<\/span><\/div>
<\/p>\n

Profesor, Universidad Nacional de Singapur<\/strong><\/h4>\n

<\/div><\/div>[vc_column_text css=\u00bb\u00bb]<\/p>\n

Mario Lanza<\/strong> obtuvo su doctorado en 2010 por Ingenier\u00eda Electr\u00f3nica en la Universidad Aut\u00f3noma de Barcelona. Fue becario postdoctoral Marie Curie en la Universidad de Stanford (Estados Unidos), y lider\u00f3 grupos de investigaci\u00f3n en la Universidad de Soochow (China, 2013-2020) y en la Universidad Rey Abdullah de Ciencia y Tecnolog\u00eda (Arabia Saudita, 2020-2024).<\/h4>\n

Actualmente, es profesor en la Universidad Nacional de Singapur, donde se dedica al desarrollo de hardware de bajo consumo energ\u00e9tico para inteligencia artificial. Ha publicado m\u00faltiples art\u00edculos de investigaci\u00f3n en revistas de alto impacto como Nature y Science, y ha sido distinguido como Fellow por el Instituto de Ingenieros El\u00e9ctricos y Electr\u00f3nicos (IEEE) de Estados Unidos.<\/h4>\n

[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][\/vc_section]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"

[vc_section][vc_row css=\u00bb.vc_custom_1681910300131{padding-bottom: 30px !important;}\u00bb][vc_column][\/vc_column][\/vc_row][vc_row full_width=\u00bbstretch_row\u00bb bg_type=\u00bbbg_color\u00bb bg_color_value=\u00bb#ededed\u00bb css=\u00bb.vc_custom_1681913912294{padding-top: 30px !important;padding-bottom: 30px !important;}\u00bb][vc_column][vc_row_inner][vc_column_inner][vc_column_text css=\u00bb\u00bb] Los microprocesadores y unidades de procesamiento gr\u00e1fico que implementan inteligencia artificial computan y almacenan la informaci\u00f3n en unidades distintas, lo que conlleva un gran desperdicio de tiempo y energ\u00eda en la transferencia de datos. En esta charla, presentar\u00e9 un paradigma de computaci\u00f3n…<\/p>\n","protected":false},"author":4,"featured_media":67981,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-68714","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized-ca","category-1","description-off"],"yoast_head":"\n11.50h a 12.30hLa computaci\u00f3n neurom\u00f3rfica - AI Congress<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/aicongress.barcelona\/es\/compneuromorf\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"11.50h a 12.30hLa computaci\u00f3n neurom\u00f3rfica - AI Congress\" \/>\n<meta property=\"og:description\" content=\"[vc_section][vc_row css=\u00bb.vc_custom_1681910300131{padding-bottom: 30px !important;}\u00bb][vc_column][\/vc_column][\/vc_row][vc_row full_width=\u00bbstretch_row\u00bb bg_type=\u00bbbg_color\u00bb bg_color_value=\u00bb#ededed\u00bb css=\u00bb.vc_custom_1681913912294{padding-top: 30px !important;padding-bottom: 30px !important;}\u00bb][vc_column][vc_row_inner][vc_column_inner][vc_column_text css=\u00bb\u00bb] Los microprocesadores y unidades de procesamiento gr\u00e1fico que implementan inteligencia artificial computan y almacenan la informaci\u00f3n en unidades distintas, lo que conlleva un gran desperdicio de tiempo y energ\u00eda en la transferencia de datos. 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