{"id":878,"date":"2023-07-04T06:08:33","date_gmt":"2023-07-04T00:38:33","guid":{"rendered":"https:\/\/www.aimlsystems.org\/2023\/?page_id=878"},"modified":"2024-09-12T09:58:14","modified_gmt":"2024-09-12T04:28:14","slug":"panels","status":"publish","type":"page","link":"https:\/\/www.aimlsystems.org\/2024\/panels\/","title":{"rendered":"Panels"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; custom_padding_last_edited=&#8221;on|phone&#8221; admin_label=&#8221;Header&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;gcid-1bcf785a-50e1-437b-b09f-65567babc1de&#8221; background_image=&#8221;https:\/\/www.aimlsystems.org\/2023\/wp-content\/uploads\/2023\/05\/grid-bg-2.png&#8221; background_size=&#8221;initial&#8221; background_position=&#8221;bottom_center&#8221; background_repeat=&#8221;repeat&#8221; custom_padding=&#8221;||22px||false|false&#8221; custom_padding_tablet=&#8221;||22px||false|false&#8221; custom_padding_phone=&#8221;||0px||false|false&#8221; collapsed=&#8221;on&#8221; global_colors_info=&#8221;{%22gcid-1bcf785a-50e1-437b-b09f-65567babc1de%22:%91%22background_color%22%93}&#8221;][et_pb_row column_structure=&#8221;2_3,1_3&#8243; custom_padding_last_edited=&#8221;on|phone&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_padding_tablet=&#8221;&#8221; custom_padding_phone=&#8221;||0px||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;2_3&#8243; _builder_version=&#8221;4.19.2&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;7f63b212-a10a-4d30-afa2-e478a747ca88&#8243; custom_margin=&#8221;||12px||false|false&#8221; header_2_font_size_phone=&#8221;33px&#8221; custom_css_free_form=&#8221;selector h2{color:white}&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>Panels<\/h2>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.19.2&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/www.aimlsystems.org\/2023\/wp-content\/uploads\/2023\/05\/ai-icon-01.png&#8221; title_text=&#8221;ai-icon-01&#8243; align=&#8221;center&#8221; disabled_on=&#8221;on|on|off&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;12px|||||&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;Features&#8221; module_id=&#8221;about&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#c1c1c1&#8243; background_image=&#8221;https:\/\/www.aimlsystems.org\/2023\/wp-content\/uploads\/2023\/05\/rm380-10.jpg&#8221; background_blend=&#8221;overlay&#8221; custom_padding=&#8221;3.1%||214px||false|false&#8221; use_background_color_gradient_phone=&#8221;on&#8221; background_color_gradient_stops_phone=&#8221;#001528 0%|rgba(255, 255, 255, 0) 10%|rgba(255,255,255,0) 70%|#0f0122 100%&#8221; collapsed=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; min_height=&#8221;428.7px&#8221; custom_margin=&#8221;|auto|-188px|auto||&#8221; custom_padding=&#8221;||26px|||&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; text_text_color=&#8221;#FFFFFF&#8221; header_3_font=&#8221;|700|||||||&#8221; header_3_text_color=&#8221;gcid-5fa2e3a6-d98c-4022-811a-b5fb6fa40d68&#8243; custom_margin=&#8221;||8px|||&#8221; global_colors_info=&#8221;{%22gcid-5fa2e3a6-d98c-4022-811a-b5fb6fa40d68%22:%91%22header_3_text_color%22%93}&#8221;]<\/p>\n<h3><strong>Panel Discussion 1: <span>HPC and AI: Two sides of the same coin<\/span><\/strong><\/h3>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||50px|||&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><b style=\"font-size: 14px;\">Panel Members:<\/b><\/p>\n<ul type=\"disc\">\n<li><span lang=\"en\">Kavita Bala,<span>\u00a0<\/span><\/span>Dean Bowers College of Computing and Information Science (Bowers CIS), Professor of Computer Science, Cornell University<\/li>\n<\/ul>\n<ul type=\"disc\">\n<li><span lang=\"en\">Hartmut Kaiser, Professor,<span>\u00a0<\/span><\/span>Louisiana State University<span lang=\"en\"><\/span><\/li>\n<li><span lang=\"en\">Kanad Basu, Department of Electrical and Computer Engineering, University of Texas at Dallas<\/span><\/li>\n<li><span lang=\"en\">Vijay K Gurbani, Vail systems<\/span><\/li>\n<li><span lang=\"en\">Kishore Narang, principal design strategist &amp; architect , narnix technolabs pvt. ltd.\u00a0 (Moderator)<\/span><\/li>\n<\/ul>\n<p><b style=\"font-size: 14px;\">Brief:<\/b><\/p>\n<p><span lang=\"en\">AI has been existing past many decades, it is only HPC power which make AI getting applied in real life problems. The success led to further improvements in AI algorithms to solve complex problems to the extent AI has been used in designing chips and making system faster.<\/span><\/p>\n<ul type=\"disc\"><\/ul>\n<p><span><span lang=\"en\">Wait\u2026 We are saying because of HPC, AI is possible. Now because of AI , we are having faster systems and efficient hardware architectures. In direct sense, AI automates processes involved in chip design and indirectly HPC community is motivated to explore new technology, beyond Moore&#8217;s law, to build efficient large language models.<\/span><\/span><\/p>\n<p><span><b><span lang=\"en\">HPC feeding AI, AI feeding HPC&#8230;&#8230; we get better computing systems, better AI models&#8230;&#8230;..will it ever stop?<\/span><\/b><\/span><\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; min_height=&#8221;428.7px&#8221; custom_margin=&#8221;|auto|-171px|auto||&#8221; custom_padding=&#8221;||14px|||&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; sticky_enabled=&#8221;0&#8243;]<\/p>\n<h3>Panel Discussion 2: How AI Can Help the Energy Industry<\/h3>\n<h6><\/h6>\n<h6><\/h6>\n<h6>Panel Members:<\/h6>\n<p>Moderator: Brad Ives, Executive Director of the LSU Institute for Energy Innovation<br \/>\u2022 George Xue, Associate Professor, Department of Oceanography &amp; Coastal Sciences at LSU<br \/>\u2022 Andrew Buchanan, CEO of Maia Analytics<br \/>\u2022 Frank Tsai, Chevron Professor of Engineering &amp; Director, Louisiana Water Resources<br \/>Research Institute at LSU<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221;][et_pb_column _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; type=&#8221;4_4&#8243;][et_pb_image src=&#8221;data:image\/svg+xml;base64,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&#8221; 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