{"id":2080,"date":"2024-10-23T12:41:04","date_gmt":"2024-10-23T10:41:04","guid":{"rendered":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/?page_id=2080"},"modified":"2024-11-13T16:40:31","modified_gmt":"2024-11-13T15:40:31","slug":"distinguished-lectures","status":"publish","type":"page","link":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/events\/distinguished-lectures\/","title":{"rendered":"Distinguished Lectures"},"content":{"rendered":"

[et_pb_section fb_built=”1″ admin_label=”section” _builder_version=”3.22″][et_pb_row custom_margin=”||80px” _builder_version=”3.22.1″][et_pb_column type=”3_4″ _builder_version=”3.22.1″][et_pb_post_title meta=”off” featured_image=”off” _builder_version=”3.22.1″][\/et_pb_post_title][et_pb_text _builder_version=”3.22.1″]<\/p>\n

In the\u00a0Distinguished Lectures<\/strong> series, diiP host invited speakers that are internationally recognized for their research and\/or applied work, who will talk about their latest results.<\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”3.22.1″][\/et_pb_column][\/et_pb_row][et_pb_row custom_margin=”||30px” admin_label=”row” _builder_version=”3.22.1″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” border_color_all=”#000000″ transform_styles__hover_enabled=”on” transform_scale__hover_enabled=”on” transform_translate__hover_enabled=”on” transform_rotate__hover_enabled=”on” transform_skew__hover_enabled=”on” transform_origin__hover_enabled=”on” transform_translate__hover=”-4px|-4px”][et_pb_column type=”1_5″ _builder_version=”3.0.47″][et_pb_image src=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-content\/uploads\/sites\/27\/2024\/11\/nikos-modified-min.png” url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/nikos-paragios-seeing-the-invisible-doing-the-impossible-reinventing-healthcare-with-generative-ai-powered-diagnosis-treatment-and-beyond\/” align=”center” _builder_version=”3.22.1″ max_height=”180px” custom_padding=”20px||20px||true”][\/et_pb_image][\/et_pb_column][et_pb_column type=”3_5″ _builder_version=”3.0.47″][et_pb_text _builder_version=”3.22.1″ border_color_left=”#3255c9″ custom_margin=”|0px||” custom_padding=”|||0px” link_option_url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/nikos-paragios-seeing-the-invisible-doing-the-impossible-reinventing-healthcare-with-generative-ai-powered-diagnosis-treatment-and-beyond\/”]<\/p>\n

 <\/p>\n

December 4, 2024<\/em>
Nikos Paragios<\/strong><\/p>\n

Seeing the Invisible – Doing the Impossible: Reinventing Healthcare with Generative AI-powered diagnosis, treatment and beyond<\/strong><\/h3>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_5″ _builder_version=”3.0.47″][\/et_pb_column][\/et_pb_row][et_pb_row custom_margin=”||30px” admin_label=”row” _builder_version=”3.22.1″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” border_color_all=”#000000″ transform_styles__hover_enabled=”on” transform_scale__hover_enabled=”on” transform_translate__hover_enabled=”on” transform_rotate__hover_enabled=”on” transform_skew__hover_enabled=”on” transform_origin__hover_enabled=”on” transform_translate__hover=”-4px|-4px”][et_pb_column type=”1_5″ _builder_version=”3.0.47″][et_pb_image src=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-content\/uploads\/sites\/27\/2024\/10\/Alon-Halevy-modified-min-compressed.jpg” url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/arijit-khan-synergy-of-graph-data-management-and-machine-learning-in-explainability-and-query-answering\/” align=”center” _builder_version=”3.22.1″ max_height=”180px” custom_padding=”20px||20px||true”][\/et_pb_image][\/et_pb_column][et_pb_column type=”3_5″ _builder_version=”3.0.47″][et_pb_text _builder_version=”3.22.1″ border_color_left=”#3255c9″ custom_margin=”|0px||” custom_padding=”|||0px” link_option_url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/alon-halevy-well-being-ai-and-you-developing-ai-based-technology-for-well-being\/”]<\/p>\n

 <\/p>\n

December 4, 2024<\/em>
Alon Halevy<\/strong><\/p>\n

Well-being, AI, and You: Developing AI-based Technology for Well-being<\/strong><\/h3>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_5″ _builder_version=”3.0.47″][\/et_pb_column][\/et_pb_row][et_pb_row custom_margin=”||30px” admin_label=”row” _builder_version=”3.22.1″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” border_color_all=”#000000″ transform_styles__hover_enabled=”on” transform_scale__hover_enabled=”on” transform_translate__hover_enabled=”on” transform_rotate__hover_enabled=”on” transform_skew__hover_enabled=”on” transform_origin__hover_enabled=”on” transform_translate__hover=”-4px|-4px”][et_pb_column type=”1_5″ _builder_version=”3.0.47″][et_pb_image src=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-content\/uploads\/sites\/27\/2024\/10\/Arijit-Khan_2.jpg” url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/arijit-khan-synergy-of-graph-data-management-and-machine-learning-in-explainability-and-query-answering\/” align=”center” _builder_version=”3.22.1″ max_height=”180px” custom_padding=”20px||20px||true”][\/et_pb_image][\/et_pb_column][et_pb_column type=”3_5″ _builder_version=”3.0.47″][et_pb_text _builder_version=”3.22.1″ border_color_left=”#3255c9″ custom_margin=”|0px||” custom_padding=”|||0px” link_option_url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/arijit-khan-synergy-of-graph-data-management-and-machine-learning-in-explainability-and-query-answering\/”]<\/p>\n

 <\/p>\n

June 5, 2024<\/em>
Prof Arijit Khan<\/strong><\/p>\n

Synergy of Graph Data Management and Machine Learning in Explainability and Query Answering<\/strong><\/h3>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_5″ _builder_version=”3.0.47″][\/et_pb_column][\/et_pb_row][et_pb_row custom_margin=”||30px” admin_label=”row” _builder_version=”3.22.1″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” border_color_all=”#000000″ transform_styles__hover_enabled=”on” transform_scale__hover_enabled=”on” transform_translate__hover_enabled=”on” transform_rotate__hover_enabled=”on” transform_skew__hover_enabled=”on” transform_origin__hover_enabled=”on” transform_translate__hover=”-4px|-4px”][et_pb_column type=”1_5″ _builder_version=”3.0.47″][et_pb_image src=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-content\/uploads\/sites\/27\/2024\/10\/Alessandro-Moschitti_2.jpg” url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/alessandro-moschitti-retrieval-augmented-generative-question-answering-for-personal-assistants\/” align=”center” _builder_version=”3.22.1″ max_height=”180px” custom_padding=”20px||20px||true”][\/et_pb_image][\/et_pb_column][et_pb_column type=”3_5″ _builder_version=”3.0.47″][et_pb_text _builder_version=”3.22.1″ link_option_url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/alessandro-moschitti-retrieval-augmented-generative-question-answering-for-personal-assistants\/”]<\/p>\n

 <\/p>\n

April 3, 2024<\/em>
Dr. Alessandro Moschitti<\/strong><\/p>\n

Retrieval Augmented Generative Question Answering for Personal Assistants<\/strong><\/h3>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_5″ _builder_version=”3.0.47″][\/et_pb_column][\/et_pb_row][et_pb_row custom_margin=”||30px” admin_label=”row” _builder_version=”3.22.1″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” border_color_all=”#000000″ transform_styles__hover_enabled=”on” transform_scale__hover_enabled=”on” transform_translate__hover_enabled=”on” transform_rotate__hover_enabled=”on” transform_skew__hover_enabled=”on” transform_origin__hover_enabled=”on” transform_translate__hover=”-4px|-4px”][et_pb_column type=”1_5″ _builder_version=”3.0.47″][et_pb_image src=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-content\/uploads\/sites\/27\/2024\/10\/Raul-Castro-Fernandez_2.jpg” url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/raul-castro-fernandez-on-data-ecology-data-markets-the-value-of-data-and-dataflow-governance\/” align=”center” _builder_version=”3.22.1″ max_height=”180px” custom_padding=”20px||20px||true”][\/et_pb_image][\/et_pb_column][et_pb_column type=”3_5″ _builder_version=”3.0.47″][et_pb_text _builder_version=”3.22.1″ link_option_url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/raul-castro-fernandez-on-data-ecology-data-markets-the-value-of-data-and-dataflow-governance\/”]<\/p>\n

 <\/p>\n

March 6, 2024<\/em>
Prof. Raul Castro Fernandez<\/strong><\/p>\n

On Data Ecology, Data Markets, the Value of Data, and Dataflow Governance<\/strong><\/h3>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_5″ _builder_version=”3.0.47″][\/et_pb_column][\/et_pb_row][et_pb_row custom_margin=”||30px” admin_label=”row” _builder_version=”3.22.1″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” border_color_all=”#000000″ transform_styles__hover_enabled=”on” transform_scale__hover_enabled=”on” transform_translate__hover_enabled=”on” transform_rotate__hover_enabled=”on” transform_skew__hover_enabled=”on” transform_origin__hover_enabled=”on” transform_translate__hover=”-4px|-4px”][et_pb_column type=”1_5″ _builder_version=”3.0.47″][et_pb_image src=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-content\/uploads\/sites\/27\/2024\/10\/Ricardo-Baeza-Yates_2.jpg” url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/ricardo-baeza-yates-responsible-ai\/” align=”center” _builder_version=”3.22.1″ max_height=”180px” custom_padding=”20px||20px||true”][\/et_pb_image][\/et_pb_column][et_pb_column type=”3_5″ _builder_version=”3.0.47″][et_pb_text _builder_version=”3.22.1″ link_option_url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/ricardo-baeza-yates-responsible-ai\/”]<\/p>\n

 <\/p>\n

February 7, 2024<\/em>
Prof. Ricardo Baeza-Yates<\/strong><\/p>\n

\u00a0<\/h3>\n

Responsible AI<\/strong><\/h3>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_5″ _builder_version=”3.0.47″][\/et_pb_column][\/et_pb_row][et_pb_row custom_margin=”||30px” admin_label=”row” _builder_version=”3.22.1″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” border_color_all=”#000000″ transform_styles__hover_enabled=”on” transform_scale__hover_enabled=”on” transform_translate__hover_enabled=”on” transform_rotate__hover_enabled=”on” transform_skew__hover_enabled=”on” transform_origin__hover_enabled=”on” transform_translate__hover=”-4px|-4px”][et_pb_column type=”1_5″ _builder_version=”3.0.47″][et_pb_image src=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-content\/uploads\/sites\/27\/2024\/10\/Joseph-Sifakis_2.jpg” url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/joseph-sifakis-testing-system-intelligence\/” align=”center” _builder_version=”3.22.1″ max_height=”180px” custom_padding=”20px||20px||true”][\/et_pb_image][\/et_pb_column][et_pb_column type=”3_5″ _builder_version=”3.0.47″][et_pb_text _builder_version=”3.22.1″ link_option_url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/joseph-sifakis-testing-system-intelligence\/”]<\/p>\n

 <\/p>\n

December 6, 2023<\/em>
Prof. Joseph Sifakis<\/strong><\/p>\n

\u00a0<\/h3>\n

Testing System Intelligence<\/strong><\/h3>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_5″ _builder_version=”3.0.47″][\/et_pb_column][\/et_pb_row][et_pb_row custom_margin=”||30px” admin_label=”row” _builder_version=”3.22.1″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” border_color_all=”#000000″ transform_styles__hover_enabled=”on” transform_scale__hover_enabled=”on” transform_translate__hover_enabled=”on” transform_rotate__hover_enabled=”on” transform_skew__hover_enabled=”on” transform_origin__hover_enabled=”on” transform_translate__hover=”-4px|-4px”][et_pb_column type=”1_5″ _builder_version=”3.0.47″][et_pb_image src=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-content\/uploads\/sites\/27\/2024\/10\/S.-Mostafa-Mousavi_2.jpg” url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/s-mostafa-mousavi-deep-learning-of-seismograms\/” align=”center” _builder_version=”3.22.1″ max_height=”180px” custom_padding=”20px||20px||true”][\/et_pb_image][\/et_pb_column][et_pb_column type=”3_5″ _builder_version=”3.0.47″][et_pb_text _builder_version=”3.22.1″ link_option_url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/s-mostafa-mousavi-deep-learning-of-seismograms\/”]<\/p>\n

 <\/p>\n

October 4, 2023<\/em>
Dr. S. Mostafa Mousavi\u00a0<\/strong><\/p>\n

 <\/p>\n

Deep Learning of Seismograms<\/strong><\/h3>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_5″ _builder_version=”3.0.47″][\/et_pb_column][\/et_pb_row][et_pb_row custom_margin=”||30px” admin_label=”row” _builder_version=”3.22.1″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” border_color_all=”#000000″ transform_styles__hover_enabled=”on” transform_scale__hover_enabled=”on” transform_translate__hover_enabled=”on” transform_rotate__hover_enabled=”on” transform_skew__hover_enabled=”on” transform_origin__hover_enabled=”on” transform_translate__hover=”-4px|-4px”][et_pb_column type=”1_5″ _builder_version=”3.0.47″][et_pb_image src=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-content\/uploads\/sites\/27\/2024\/10\/Michael-J.-Franklin_2.jpg” url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/michael-j-franklin-data-science-trends-and-non-trends-a-confluence-of-complexity\/” align=”center” _builder_version=”3.22.1″ max_height=”180px” custom_padding=”20px||20px||true”][\/et_pb_image][\/et_pb_column][et_pb_column type=”3_5″ _builder_version=”3.0.47″][et_pb_text _builder_version=”3.22.1″ link_option_url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/michael-j-franklin-data-science-trends-and-non-trends-a-confluence-of-complexity\/”]<\/p>\n

 <\/p>\n

June 7, 2023<\/em>
Prof. Michael J. Franklin<\/strong><\/p>\n

Data Science Trends and Non-Trends: A Confluence of Complexity<\/strong><\/h3>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_5″ _builder_version=”3.0.47″][\/et_pb_column][\/et_pb_row][et_pb_row custom_margin=”||30px” admin_label=”row” _builder_version=”3.22.1″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” border_color_all=”#000000″ transform_styles__hover_enabled=”on” transform_scale__hover_enabled=”on” transform_translate__hover_enabled=”on” transform_rotate__hover_enabled=”on” transform_skew__hover_enabled=”on” transform_origin__hover_enabled=”on” transform_translate__hover=”-4px|-4px”][et_pb_column type=”1_5″ _builder_version=”3.0.47″][et_pb_image src=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-content\/uploads\/sites\/27\/2024\/10\/Beno\u00eet-Crabb\u00e9-modified.png” url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/benoit-crabbe-the-promise-of-language-models-for-language-sciences-lets-chat\/” align=”center” _builder_version=”3.22.1″ max_height=”180px” custom_padding=”20px||20px||true”][\/et_pb_image][\/et_pb_column][et_pb_column type=”3_5″ _builder_version=”3.0.47″][et_pb_text _builder_version=”3.22.1″ link_option_url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/benoit-crabbe-the-promise-of-language-models-for-language-sciences-lets-chat\/”]<\/p>\n

 <\/p>\n

April 5, 2023<\/em>
Prof. Beno\u00eet Crabb\u00e9<\/strong><\/p>\n

The promise of language models for language sciences? Let\u2019s chat!<\/strong><\/h3>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_5″ _builder_version=”3.0.47″][\/et_pb_column][\/et_pb_row][et_pb_row custom_margin=”||30px” admin_label=”row” _builder_version=”3.22.1″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” border_color_all=”#000000″ transform_styles__hover_enabled=”on” transform_scale__hover_enabled=”on” transform_translate__hover_enabled=”on” transform_rotate__hover_enabled=”on” transform_skew__hover_enabled=”on” transform_origin__hover_enabled=”on” transform_translate__hover=”-4px|-4px”][et_pb_column type=”1_5″ _builder_version=”3.0.47″][et_pb_image src=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-content\/uploads\/sites\/27\/2024\/10\/Gerd-Gigerenzer-modified.png” url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/gerd-gigerenzer-from-bounded-rationality-to-ecological-rationality\/” align=”center” _builder_version=”3.22.1″ max_height=”180px” custom_padding=”20px||20px||true”][\/et_pb_image][\/et_pb_column][et_pb_column type=”3_5″ _builder_version=”3.0.47″][et_pb_text _builder_version=”3.22.1″ link_option_url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/gerd-gigerenzer-from-bounded-rationality-to-ecological-rationality\/”]<\/p>\n

 <\/p>\n

February 1, 2023<\/em>
Dr. Gerd Gigerenzer<\/strong><\/p>\n

From Bounded Rationality to Ecological Rationality<\/strong><\/h3>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_5″ _builder_version=”3.0.47″][\/et_pb_column][\/et_pb_row][et_pb_row custom_margin=”||30px” admin_label=”row” _builder_version=”3.22.1″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” border_color_all=”#000000″ transform_styles__hover_enabled=”on” transform_scale__hover_enabled=”on” transform_translate__hover_enabled=”on” transform_rotate__hover_enabled=”on” transform_skew__hover_enabled=”on” transform_origin__hover_enabled=”on” transform_translate__hover=”-4px|-4px”][et_pb_column type=”1_5″ _builder_version=”3.0.47″][et_pb_image src=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-content\/uploads\/sites\/27\/2024\/10\/Stratos-Idreos_2.jpg” url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/stratos-idreos-self-designing-data-systems-for-the-ai-era\/” align=”center” _builder_version=”3.22.1″ max_height=”180px” custom_padding=”20px||20px||true”][\/et_pb_image][\/et_pb_column][et_pb_column type=”3_5″ _builder_version=”3.0.47″][et_pb_text _builder_version=”3.22.1″ link_option_url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/stratos-idreos-self-designing-data-systems-for-the-ai-era\/”]<\/p>\n

 <\/p>\n

December 7, 2022<\/em>
Prof. Stratos Idreos<\/strong><\/p>\n

\u00a0<\/h3>\n

Self-designing Data Systems for the AI Era<\/strong><\/h3>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_5″ _builder_version=”3.0.47″][\/et_pb_column][\/et_pb_row][et_pb_row custom_margin=”||30px” admin_label=”row” _builder_version=”3.22.1″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” border_color_all=”#000000″ transform_styles__hover_enabled=”on” transform_scale__hover_enabled=”on” transform_translate__hover_enabled=”on” transform_rotate__hover_enabled=”on” transform_skew__hover_enabled=”on” transform_origin__hover_enabled=”on” transform_translate__hover=”-4px|-4px”][et_pb_column type=”1_5″ _builder_version=”3.0.47″][et_pb_image src=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-content\/uploads\/sites\/27\/2024\/10\/Sarel-Fleishman_2.jpg” url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/sarel-fleishman-computational-design-of-enzyme-repertoires\/” align=”center” _builder_version=”3.22.1″ max_height=”180px” custom_padding=”20px||20px||true”][\/et_pb_image][\/et_pb_column][et_pb_column type=”3_5″ _builder_version=”3.0.47″][et_pb_text _builder_version=”3.22.1″ link_option_url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/sarel-fleishman-computational-design-of-enzyme-repertoires\/”]<\/p>\n

 <\/p>\n

November 2, 2022<\/em>
Dr. Sarel Fleishman<\/strong><\/p>\n

Computational design of enzyme repertoires<\/strong><\/h3>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_5″ _builder_version=”3.0.47″][\/et_pb_column][\/et_pb_row][et_pb_row custom_margin=”||30px” admin_label=”row” _builder_version=”3.22.1″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” border_color_all=”#000000″ transform_styles__hover_enabled=”on” transform_scale__hover_enabled=”on” transform_translate__hover_enabled=”on” transform_rotate__hover_enabled=”on” transform_skew__hover_enabled=”on” transform_origin__hover_enabled=”on” transform_translate__hover=”-4px|-4px”][et_pb_column type=”1_5″ _builder_version=”3.0.47″][et_pb_image src=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-content\/uploads\/sites\/27\/2024\/10\/Jean-Fran\u00e7ois-Masson-modified.png” url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/jean-francois-masson-surface-enhanced-raman-scattering-sers-sensors-combining-machine-learning-and-nanosciences\/” align=”center” _builder_version=”3.22.1″ max_height=”180px” custom_padding=”20px||20px||true”][\/et_pb_image][\/et_pb_column][et_pb_column type=”3_5″ _builder_version=”3.0.47″][et_pb_text _builder_version=”3.22.1″ link_option_url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/jean-francois-masson-surface-enhanced-raman-scattering-sers-sensors-combining-machine-learning-and-nanosciences\/”]<\/p>\n

 <\/p>\n

May 4, 2022<\/em>
Prof. Jean-Fran\u00e7ois Masson<\/strong><\/p>\n

Surface enhanced Raman scattering (SERS) sensors: combining machine learning and nanosciences<\/strong><\/h3>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_5″ _builder_version=”3.0.47″][\/et_pb_column][\/et_pb_row][et_pb_row custom_margin=”||30px” admin_label=”row” _builder_version=”3.22.1″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” border_color_all=”#000000″ transform_styles__hover_enabled=”on” transform_scale__hover_enabled=”on” transform_translate__hover_enabled=”on” transform_rotate__hover_enabled=”on” transform_skew__hover_enabled=”on” transform_origin__hover_enabled=”on” transform_translate__hover=”-4px|-4px”][et_pb_column type=”1_5″ _builder_version=”3.0.47″][et_pb_image src=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-content\/uploads\/sites\/27\/2024\/10\/Christopher-Messenger-modified.png” url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/christopher-messenger-outsourcing-astrophysics-data-analysis-to-the-real-experts\/” align=”center” _builder_version=”3.22.1″ max_height=”180px” custom_padding=”20px||20px||true”][\/et_pb_image][\/et_pb_column][et_pb_column type=”3_5″ _builder_version=”3.0.47″][et_pb_text _builder_version=”3.22.1″ link_option_url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/christopher-messenger-outsourcing-astrophysics-data-analysis-to-the-real-experts\/”]<\/p>\n

 <\/p>\n

April 6, 2022<\/em>
Christopher Messenger<\/strong><\/p>\n

Outsourcing astrophysics data analysis to the real experts<\/strong><\/h3>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_5″ _builder_version=”3.0.47″][\/et_pb_column][\/et_pb_row][et_pb_row custom_margin=”||30px” admin_label=”row” _builder_version=”3.22.1″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” border_color_all=”#000000″ transform_styles__hover_enabled=”on” transform_scale__hover_enabled=”on” transform_translate__hover_enabled=”on” transform_rotate__hover_enabled=”on” transform_skew__hover_enabled=”on” transform_origin__hover_enabled=”on” transform_translate__hover=”-4px|-4px”][et_pb_column type=”1_5″ _builder_version=”3.0.47″][et_pb_image src=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-content\/uploads\/sites\/27\/2024\/10\/Eamonn-Keogh-modified.png” url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/eamonn-keogh-finding-approximately-repeated-patterns-in-time-series-the-most-useful-and-yet-most-underutilized-primitive-in-time-series-analytics\/” align=”center” _builder_version=”3.22.1″ max_height=”180px” custom_padding=”20px||20px||true”][\/et_pb_image][\/et_pb_column][et_pb_column type=”3_5″ _builder_version=”3.0.47″][et_pb_text _builder_version=”3.22.1″ link_option_url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/eamonn-keogh-finding-approximately-repeated-patterns-in-time-series-the-most-useful-and-yet-most-underutilized-primitive-in-time-series-analytics\/”]<\/p>\n

 <\/p>\n

February 2, 2022
<\/em>Prof. Eamonn Keogh<\/strong><\/p>\n

Finding Approximately Repeated Patterns in Time Series: The most Useful, and yet most Underutilized Primitive in Time Series Analytics<\/strong><\/h3>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_5″ _builder_version=”3.0.47″][\/et_pb_column][\/et_pb_row][et_pb_row custom_margin=”||30px” admin_label=”row” _builder_version=”3.22.1″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” border_color_all=”#000000″ transform_styles__hover_enabled=”on” transform_scale__hover_enabled=”on” transform_translate__hover_enabled=”on” transform_rotate__hover_enabled=”on” transform_skew__hover_enabled=”on” transform_origin__hover_enabled=”on” transform_translate__hover=”-4px|-4px”][et_pb_column type=”1_5″ _builder_version=”3.0.47″][et_pb_image src=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-content\/uploads\/sites\/27\/2024\/10\/Laurent-Daudet_2.jpg” url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/laurent-daudet-promises-and-challenges-of-massive-scale-ai-the-case-of-large-language-models\/” align=”center” _builder_version=”3.22.1″ max_height=”180px” custom_padding=”20px||20px||true”][\/et_pb_image][\/et_pb_column][et_pb_column type=”3_5″ _builder_version=”3.0.47″][et_pb_text _builder_version=”3.22.1″ link_option_url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/laurent-daudet-promises-and-challenges-of-massive-scale-ai-the-case-of-large-language-models\/”]<\/p>\n

 <\/p>\n

November 3, 2021
<\/em>Laurent Daudet<\/strong><\/p>\n

Promises and challenges of massive-scale AI \u2013 the case of large language models<\/strong><\/h3>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_5″ _builder_version=”3.0.47″][\/et_pb_column][\/et_pb_row][et_pb_row custom_margin=”||30px” admin_label=”row” _builder_version=”3.22.1″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” border_color_all=”#000000″ transform_styles__hover_enabled=”on” transform_scale__hover_enabled=”on” transform_translate__hover_enabled=”on” transform_rotate__hover_enabled=”on” transform_skew__hover_enabled=”on” transform_origin__hover_enabled=”on” transform_translate__hover=”-4px|-4px”][et_pb_column type=”1_5″ _builder_version=”3.0.47″][et_pb_image src=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-content\/uploads\/sites\/27\/2024\/10\/Julia-Stoyanovich_2.png” url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/julia-stoyanovich-building-data-equity-systems\/” align=”center” _builder_version=”3.22.1″ max_height=”180px” custom_padding=”20px||20px||true”][\/et_pb_image][\/et_pb_column][et_pb_column type=”3_5″ _builder_version=”3.0.47″][et_pb_text _builder_version=”3.22.1″ link_option_url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/julia-stoyanovich-building-data-equity-systems\/”]<\/p>\n

 <\/p>\n

October 6, 2021
<\/em>Prof Julia Stoyanovich<\/strong><\/p>\n

\u00a0<\/h3>\n

Building Data Equity Systems<\/strong><\/h3>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_5″ _builder_version=”3.0.47″][\/et_pb_column][\/et_pb_row][et_pb_row custom_margin=”||30px” admin_label=”row” _builder_version=”3.22.1″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” border_color_all=”#000000″ transform_styles__hover_enabled=”on” transform_scale__hover_enabled=”on” transform_translate__hover_enabled=”on” transform_rotate__hover_enabled=”on” transform_skew__hover_enabled=”on” transform_origin__hover_enabled=”on” transform_translate__hover=”-4px|-4px”][et_pb_column type=”1_5″ _builder_version=”3.0.47″][et_pb_image src=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-content\/uploads\/sites\/27\/2024\/10\/Kimon-Drakopoulos_2.jpg” url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/kimon-drakopoulos-deploying-a-data-driven-covid-19-screening-policy\/” align=”center” _builder_version=”3.22.1″ max_height=”180px” custom_padding=”20px||20px||true”][\/et_pb_image][\/et_pb_column][et_pb_column type=”3_5″ _builder_version=”3.0.47″][et_pb_text _builder_version=”3.22.1″ link_option_url=”https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/kimon-drakopoulos-deploying-a-data-driven-covid-19-screening-policy\/”]<\/p>\n

 <\/p>\n

May 5, 2021
<\/em>Prof Kimon Drakopoulos<\/strong><\/p>\n

Deploying a Data-Driven COVID-19 Screening Policy<\/strong><\/h3>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_5″ _builder_version=”3.0.47″][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"

In the\u00a0Distinguished Lectures series, diiP host invited speakers that are internationally recognized for their research and\/or applied work, who will talk about their latest results.  December 4, 2024Nikos Paragios Seeing the Invisible – Doing the Impossible: Reinventing Healthcare with Generative AI-powered diagnosis, treatment and beyond   December 4, 2024Alon Halevy Well-being, AI, and You: Developing… Lire la suite Distinguished Lectures<\/span><\/a><\/p>\n","protected":false},"author":560,"featured_media":0,"parent":1715,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-2080","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/pages\/2080","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/users\/560"}],"replies":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/comments?post=2080"}],"version-history":[{"count":89,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/pages\/2080\/revisions"}],"predecessor-version":[{"id":3290,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/pages\/2080\/revisions\/3290"}],"up":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/pages\/1715"}],"wp:attachment":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/media?parent=2080"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}