{"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":"2023-10-28T07:32:02","modified_gmt":"2023-10-28T02:02:02","slug":"panels","status":"publish","type":"page","link":"https:\/\/www.aimlsystems.org\/2023\/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;4.21.0&#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; 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: Generative AI: Insights, Implications and Path Ahead<br \/>25th Oct, 4:30 pm<\/strong><\/h3>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||50px|||&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><b style=\"font-size: 14px;\">Moderator: Debdoot Mukherjee, Meesho<\/b><\/p>\n<p><b style=\"font-size: 14px;\">Panelist:<\/b><\/p>\n<p style=\"text-align: left; padding-left: 40px;\"><b style=\"font-size: 14px;\"> Srujana Merugu, Amazon<br \/>Johnu George, Nutanix<br \/>Nirant Kasliwal, Qdrant<br \/>Danish Pruthi, IISc Bangalore<\/b><b style=\"font-size: 14px;\"><\/b><\/p>\n<p style=\"text-align: left;\"><b style=\"font-size: 14px;\">Abstract:<\/b><\/p>\n<p>This panel gathers experts to discuss the evolution and impact of Generative AI. Panelists will share their interpretations of Generative AI, recount experiences from projects, and discuss the technical breakthroughs highlighted by the ChatGPT moment. The discussion will also cover the future of NLP research, societal implications, and ethical dilemmas arising from Generative AI advancements. The session aims to provide a comprehensive understanding of Generative AI&#8217;s potential and challenges, fostering a dialogue between academia and industry to envision a collaborative path forward.<\/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; 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 2: AI for Environment and Earth Sciences<\/strong><\/h3>\n<h3>26th Oct, 5:30 pm<\/h3>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||50px|||&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<p><b style=\"font-size: 14px;\">Moderator: Ashish Gupta, Walmart Global Tech<br \/>Panelist:<\/b><\/p>\n<p style=\"padding-left: 40px;\"><b style=\"font-size: 14px;\">Abhishek Gupta, Ohio State University<br \/>Shailesh Despande, TCS Research<br \/>Umamaheshwari Devi, IBM Research<\/b><\/p>\n<p>&nbsp;<\/p>\n<p><b style=\"font-size: 14px;\">Abstract:<\/b><\/p>\n<p>This panel focuses on the directions of Artificial Intelligence on solving issues in Environment and Earth Sciences. The panel would like to discuss various topics like the feasibility of AI on predicting climate changes; reliable detection of weather patterns; early prediction of natural disasters; predicting geological processes of the earth, global warming impacts, etc. Special interest will be on how Generative AI can benefit Environment and Earth Sciences.<\/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;425.7px&#8221; custom_margin=&#8221;|auto|-170px|auto||&#8221; custom_padding=&#8221;||14px|||&#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 3: AI for Healthcare and Biology<\/strong><\/h3>\n<h3>27th Oct, 4:30 pm<\/h3>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||18px|||&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><b style=\"font-size: 14px;\">Moderator: <\/b><b style=\"font-size: 14px;\">Supratik Mukhopadhyay, Lousiana State University<\/p>\n<p><\/b><b style=\"font-size: 14px;\">Panelist:<\/b><\/p>\n<p style=\"padding-left: 40px;\"><b style=\"font-size: 14px;\">Shekar Sivasubramanian, Wadhwani AI<br \/>Debdoot Sheet, IIT Kharagpur<br \/><\/b><b style=\"font-size: 14px;\">Debjyoti Gupta, TCG Digital<br \/><\/b><\/p>\n<p><b style=\"font-size: 14px;\">Abstract:<\/b><\/p>\n<p>This panel focuses on the directions of Artificial Intelligence on solving issues in Healthcare and Biology. The panel would like to discuss the impact of AI on cost, timeliness, and scope for diagnosis and treatment; timely detection of diseases; telemedicine and telesurgery; bioinformatics, etc. Special interest will be on how Generative AI can benefit Healthcare and Biology.<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>PanelsPanel Discussion 1: Generative AI: Insights, Implications and Path Ahead25th Oct, 4:30 pmModerator: Debdoot Mukherjee, Meesho Panelist: Srujana Merugu, AmazonJohnu George, NutanixNirant Kasliwal, QdrantDanish Pruthi, IISc Bangalore Abstract: This panel gathers experts to discuss the evolution and impact of Generative AI. Panelists will share their interpretations of Generative AI, recount experiences from projects, and discuss [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"<!-- wp:paragraph -->\n<p>This is an example page. It's different from a blog post because it will stay in one place and will show up in your site navigation (in most themes). Most people start with an About page that introduces them to potential site visitors. It might say something like this:<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:quote -->\n<blockquote class=\"wp-block-quote\"><!-- wp:paragraph -->\n<p>Hi there! I'm a bike messenger by day, aspiring actor by night, and this is my website. I live in Los Angeles, have a great dog named Jack, and I like pi\u00f1a coladas. 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