{"id":173,"date":"2023-05-23T00:29:56","date_gmt":"2023-05-22T18:59:56","guid":{"rendered":"https:\/\/aiml.3it.in\/?page_id=173"},"modified":"2026-01-16T11:59:14","modified_gmt":"2026-01-16T06:29:14","slug":"keynote_details","status":"publish","type":"page","link":"https:\/\/www.aimlsystems.org\/2026\/keynote_details\/","title":{"rendered":"Keynote Speakers"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;Header&#8221; _builder_version=&#8221;4.19.5&#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;||0px|||&#8221; collapsed=&#8221;on&#8221; 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global_colors_info=&#8221;{}&#8221;][\/et_pb_image][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.25.1&#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; header_text_align=&#8221;center&#8221; animation_style=&#8221;flip&#8221; animation_repeat=&#8221;loop&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<div style=\"display: flex; justify-content: center; align-items: center; height: 60vh; margin: 0;\">\n<h2 style=\"text-align: center;\">Page will be updating soon&#8230;.<\/h2>\n<\/div>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_4,3_4&#8243; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;27px||43px|||&#8221; global_colors_info=&#8221;{}&#8221; disabled_on=&#8221;on|on|on&#8221; disabled=&#8221;on&#8221;][et_pb_column type=&#8221;1_4&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/www.aimlsystems.org\/2025\/wp-content\/uploads\/2025\/06\/Rahul-Mangharam.png&#8221; title_text=&#8221;Rahul Mangharam&#8221; align=&#8221;center&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; max_width=&#8221;200px&#8221; custom_margin=&#8221;||15px|||&#8221; filter_saturate=&#8221;0%&#8221; animation_style=&#8221;slide&#8221; border_radii=&#8221;on|115px|115px|115px|115px&#8221; border_color_all=&#8221;#FFFFFF&#8221; box_shadow_style=&#8221;preset2&#8243; global_colors_info=&#8221;{}&#8221; transform_styles__hover_enabled=&#8221;on|hover&#8221; transform_scale__hover_enabled=&#8221;on|hover&#8221; transform_translate__hover_enabled=&#8221;on|hover&#8221; transform_rotate__hover_enabled=&#8221;on|hover&#8221; transform_skew__hover_enabled=&#8221;on|hover&#8221; 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global_colors_info=&#8221;{%22gcid-5fa2e3a6-d98c-4022-811a-b5fb6fa40d68%22:%91%22header_4_text_color%22%93}&#8221;]<\/p>\n<h4><a href=\"https:\/\/scholar.google.com\/citations?user=b9WsJN4AAAAJ&amp;hl=en\" target=\"_blank\" rel=\"noopener\"><span>Rahul Mangharam<\/span><\/a><a href=\"https:\/\/people.iith.ac.in\/vineethnb\/\" target=\"_blank\" rel=\"noopener\"><span><\/span><\/a><\/h4>\n<p><strong>\u00a0University of Pennsylvania, USA<\/strong><\/p>\n<p>[\/et_pb_text][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; body_font_size=&#8221;16px&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;Title&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><strong>AI Agents in the Physical World<\/strong><\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; disabled_on=&#8221;on|on|on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; link_option_url_new_window=&#8221;on&#8221; border_radii=&#8221;on|30px|30px|30px|30px&#8221; disabled=&#8221;on&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;Abstract&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><span>Artificial intelligence (AI) has focused on a paradigm in which intelligence<\/span><br \/><span>inheres in a single, autonomous agent.\u00a0 Social issues are entirely secondary<\/span><br \/><span>in this paradigm.\u00a0 When AI systems are deployed in social contexts, however,<\/span><br \/><span>the overall design of such systems is often naive&#8212;a centralized entity provides<\/span><br \/><span>services to passive agents and reaps the rewards.\u00a0 Such a paradigm need not be<\/span><br \/><span>the dominant paradigm for information technology.\u00a0 In a broader framing, agents are<\/span><br \/><span>active, they are cooperative, and they wish to obtain value from their participation<\/span><br \/><span>in learning-based systems.\u00a0 Agents may supply data and other resources to the system,<\/span><br \/><span>only if it is in their interest to do so.\u00a0 Critically, intelligence inheres as much<\/span><br \/><span>in the overall system as it does in individual agents, be they humans or computers.<\/span><br \/><span>This is a perspective that is familiar in the social sciences, and a key theme in<\/span><br \/><span>my work is that of bringing economics into contact with foundational issues in<\/span><br \/><span>computing and data sciences.\u00a0 I&#8217;ll emphasize some of the design challenges<\/span><br \/><span>that arise at this tripartite interface.<\/span><\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;Bio&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>&nbsp;<\/p>\n<p><span> <\/span><\/p>\n<p>Rahul Mangharam is a Professor in the Departments of Electrical and Systems Engineering and Computer and Information Sciences at the University of Pennsylvania. He is a founding member of the PRECISE Center for Trustworthy AI and leads xLAB: Safe Autonomous Systems Lab. Dr. Mangharam also serves as the Director for Safety21, a $20 million US DoT National University Transportation Center, and leads the Autoware Center of Excellence in Autonomous Driving. He was a board member of The Autoware Foundation 2023-2025, which is the world&#8217;s leading open-source autonomous driving stack involving over 100 companies and institutions. He spearheads the RoboRacer\/F1Tenth Autonomous Racing Community which spans 90+ universities worldwide.<\/p>\n<p>Dr. Mangharam\u2019s interdisciplinary research spans formal methods, machine learning, and control systems, with applications in autonomous systems, medical devices, and robotics. His current interests are in multi-agent dynamic games of collaborative teams in adversarial competitions. His professional experience spans international research, including roles at Intel Labs, IMEC Belgium, Apple Inc., National Instruments and FORE Systems.<\/p>\n<p>He is the recipient of numerous awards, including the US Presidential Early Career Award (PECASE) from Obama, IEEE Benjamin Franklin Key Award, NSF CAREER Award, and Intel Early Faculty Career Award. His group has received multiple best paper awards and innovation prizes across top venues in cyber-physical systems, controls, machine learning and embedded systems.<\/p>\n<p>Rahul received his BS, MS, and Ph.D. in Electrical &amp; Computer Engineering from Carnegie Mellon University.<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_4,3_4&#8243; disabled_on=&#8221;on|on|on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;27px||43px|||&#8221; global_colors_info=&#8221;{}&#8221; disabled=&#8221;on&#8221;][et_pb_column type=&#8221;1_4&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/www.aimlsystems.org\/2025\/wp-content\/uploads\/2025\/03\/Adobe-Express-file.png&#8221; title_text=&#8221;Ramesh Raskar&#8221; align=&#8221;center&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; max_width=&#8221;200px&#8221; custom_margin=&#8221;||15px|||&#8221; filter_saturate=&#8221;0%&#8221; animation_style=&#8221;slide&#8221; border_radii=&#8221;on|115px|115px|115px|115px&#8221; border_color_all=&#8221;#FFFFFF&#8221; box_shadow_style=&#8221;preset2&#8243; global_colors_info=&#8221;{}&#8221; transform_styles__hover_enabled=&#8221;on|hover&#8221; transform_scale__hover_enabled=&#8221;on|hover&#8221; transform_translate__hover_enabled=&#8221;on|hover&#8221; transform_rotate__hover_enabled=&#8221;on|hover&#8221; transform_skew__hover_enabled=&#8221;on|hover&#8221; transform_origin__hover_enabled=&#8221;on|hover&#8221; transform_scale__hover=&#8221;104%|104%&#8221; filter_saturate__hover_enabled=&#8221;on|hover&#8221; filter_saturate__hover=&#8221;100%&#8221; border_width_all__hover_enabled=&#8221;on|hover&#8221; border_width_all__hover=&#8221;1px&#8221; border_radii__hover_enabled=&#8221;on|hover&#8221; border_radii__hover=&#8221;on|115px|115px|115px|115px&#8221;][\/et_pb_image][\/et_pb_column][et_pb_column type=&#8221;3_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;25d2b0d8-2373-4ae8-9188-0ef4b1bb77f4&#8243; text_text_color=&#8221;#212A4F&#8221; text_font_size=&#8221;16px&#8221; header_4_text_color=&#8221;gcid-5fa2e3a6-d98c-4022-811a-b5fb6fa40d68&#8243; header_4_font_size=&#8221;20px&#8221; custom_margin=&#8221;||15px|||&#8221; global_colors_info=&#8221;{%22gcid-5fa2e3a6-d98c-4022-811a-b5fb6fa40d68%22:%91%22header_4_text_color%22%93}&#8221;]<\/p>\n<h4><a href=\"https:\/\/www.media.mit.edu\/people\/raskar\/overview\/\" target=\"_blank\" rel=\"noopener\"><span>Ramesh Raskar<\/span><\/a><\/h4>\n<p><strong>MIT Media Lab<\/strong><\/p>\n<p>[\/et_pb_text][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; body_font_size=&#8221;16px&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;Title&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><strong>The Agentic Internet, Society and Economy: The Future is Here\u00a0<\/strong><\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; disabled_on=&#8221;on|on|on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; border_radii=&#8221;on|30px|30px|30px|30px&#8221; disabled=&#8221;on&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;Abstract&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><span>Artificial intelligence (AI) has focused on a paradigm in which intelligence<\/span><br \/><span>inheres in a single, autonomous agent.\u00a0 Social issues are entirely secondary<\/span><br \/><span>in this paradigm.\u00a0 When AI systems are deployed in social contexts, however,<\/span><br \/><span>the overall design of such systems is often naive&#8212;a centralized entity provides<\/span><br \/><span>services to passive agents and reaps the rewards.\u00a0 Such a paradigm need not be<\/span><br \/><span>the dominant paradigm for information technology.\u00a0 In a broader framing, agents are<\/span><br \/><span>active, they are cooperative, and they wish to obtain value from their participation<\/span><br \/><span>in learning-based systems.\u00a0 Agents may supply data and other resources to the system,<\/span><br \/><span>only if it is in their interest to do so.\u00a0 Critically, intelligence inheres as much<\/span><br \/><span>in the overall system as it does in individual agents, be they humans or computers.<\/span><br \/><span>This is a perspective that is familiar in the social sciences, and a key theme in<\/span><br \/><span>my work is that of bringing economics into contact with foundational issues in<\/span><br \/><span>computing and data sciences.\u00a0 I&#8217;ll emphasize some of the design challenges<\/span><br \/><span>that arise at this tripartite interface.<\/span><\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;Bio&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>&nbsp;<\/p>\n<p><span> <\/span><\/p>\n<p><span>Ramesh Raskar is the Associate Director of the MIT Media Lab, where he leads the Camera Culture research group focused on AI, imaging, and machine learning for health and sustainability.\u00a0A pioneer in computational photography, he invented femto-photography (trillion-fps imaging), corner-detecting cameras, and low-cost eye-care solutions like Netra and Catra, earning accolades including the Lemelson Prize (&#8220;Engineering Nobel&#8221; 2016) and ACM SIGGRAPH Achievement Award.\u00a0He co-founded PathCheck for pandemic response tools and advises global ventures, blending academic research with entrepreneurial impact.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_4,3_4&#8243; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;27px||43px|||&#8221; global_colors_info=&#8221;{}&#8221; disabled_on=&#8221;on|on|on&#8221; disabled=&#8221;on&#8221;][et_pb_column type=&#8221;1_4&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/www.aimlsystems.org\/2025\/wp-content\/uploads\/2025\/02\/Vineeth_N_Balasubramanian.jpg&#8221; title_text=&#8221;Vineeth_N_Balasubramanian&#8221; align=&#8221;center&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; max_width=&#8221;200px&#8221; custom_margin=&#8221;||15px|||&#8221; filter_saturate=&#8221;0%&#8221; animation_style=&#8221;slide&#8221; border_radii=&#8221;on|115px|115px|115px|115px&#8221; border_color_all=&#8221;#FFFFFF&#8221; box_shadow_style=&#8221;preset2&#8243; global_colors_info=&#8221;{}&#8221; transform_styles__hover_enabled=&#8221;on|hover&#8221; transform_scale__hover_enabled=&#8221;on|hover&#8221; transform_translate__hover_enabled=&#8221;on|hover&#8221; transform_rotate__hover_enabled=&#8221;on|hover&#8221; transform_skew__hover_enabled=&#8221;on|hover&#8221; transform_origin__hover_enabled=&#8221;on|hover&#8221; transform_scale__hover=&#8221;104%|104%&#8221; filter_saturate__hover_enabled=&#8221;on|hover&#8221; filter_saturate__hover=&#8221;100%&#8221; border_width_all__hover_enabled=&#8221;on|hover&#8221; border_width_all__hover=&#8221;1px&#8221; border_radii__hover_enabled=&#8221;on|hover&#8221; border_radii__hover=&#8221;on|115px|115px|115px|115px&#8221;][\/et_pb_image][\/et_pb_column][et_pb_column type=&#8221;3_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;25d2b0d8-2373-4ae8-9188-0ef4b1bb77f4&#8243; text_text_color=&#8221;#212A4F&#8221; text_font_size=&#8221;16px&#8221; header_4_text_color=&#8221;gcid-5fa2e3a6-d98c-4022-811a-b5fb6fa40d68&#8243; header_4_font_size=&#8221;20px&#8221; custom_margin=&#8221;||15px|||&#8221; global_colors_info=&#8221;{%22gcid-5fa2e3a6-d98c-4022-811a-b5fb6fa40d68%22:%91%22header_4_text_color%22%93}&#8221;]<\/p>\n<h4><a href=\"https:\/\/people.iith.ac.in\/vineethnb\/\" target=\"_blank\" rel=\"noopener\"><span>Vineeth N Balasubramanian<\/span><\/a><\/h4>\n<p><strong><span>Indian Institute of Technology, Hyderabad &amp; Microsoft Research, India<\/span><\/strong><\/p>\n<p>[\/et_pb_text][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;Title&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; body_font_size=&#8221;16px&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><strong>Learning Beyond Prediction: Concepts, Logic, and Reasoning<\/strong><\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; disabled_on=&#8221;on|on|on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; link_option_url_new_window=&#8221;on&#8221; border_radii=&#8221;on|30px|30px|30px|30px&#8221; disabled=&#8221;on&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;Abstract&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><span>Artificial intelligence (AI) has focused on a paradigm in which intelligence<\/span><br \/><span>inheres in a single, autonomous agent.\u00a0 Social issues are entirely secondary<\/span><br \/><span>in this paradigm.\u00a0 When AI systems are deployed in social contexts, however,<\/span><br \/><span>the overall design of such systems is often naive&#8212;a centralized entity provides<\/span><br \/><span>services to passive agents and reaps the rewards.\u00a0 Such a paradigm need not be<\/span><br \/><span>the dominant paradigm for information technology.\u00a0 In a broader framing, agents are<\/span><br \/><span>active, they are cooperative, and they wish to obtain value from their participation<\/span><br \/><span>in learning-based systems.\u00a0 Agents may supply data and other resources to the system,<\/span><br \/><span>only if it is in their interest to do so.\u00a0 Critically, intelligence inheres as much<\/span><br \/><span>in the overall system as it does in individual agents, be they humans or computers.<\/span><br \/><span>This is a perspective that is familiar in the social sciences, and a key theme in<\/span><br \/><span>my work is that of bringing economics into contact with foundational issues in<\/span><br \/><span>computing and data sciences.\u00a0 I&#8217;ll emphasize some of the design challenges<\/span><br \/><span>that arise at this tripartite interface.<\/span><\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;Bio&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>&nbsp;<\/p>\n<p><span> <\/span><\/p>\n<p><span>Vineeth N Balasubramanian is a Principal Researcher at Microsoft Research India and a Professor (on leave) in the Department of Computer Science and Engineering at the Indian Institute of Technology, Hyderabad (IIT-H), India. He is the Founding Head of the Department of Artificial Intelligence at IIT-H (2019-22), the first such across IITs in India. His research interests include deep learning, machine learning and computer vision, with a focus on explainability, multimodal learning, reasoning and continual learning. A Fellow of the INAE (2024) and INSA Associate Fellow (2024), he is a recipient of the National Teachers Award (presented by the Hon&#8217;ble President of India, 2025), Research Excellence Award at IIT-H (2022), Google Research Scholar Award (2021), NASSCOM AI Gamechanger Award (2022), Teaching Excellence Awards at IIT-H (2017 and 2021), Fulbright-Nehru Fellowship (2022-23), among others. His research has been published at premier venues including ICML, CVPR, NeurIPS, ICLR, ICCV, AAAI, and IEEE TPAMI; he was the General Chair of ACML 2022, serves on the Editorial Board of IJCV and Pattern Recognition, and regularly serves in senior roles for top AI conferences.<\/span><\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_4,3_4&#8243; disabled_on=&#8221;on|on|on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;45px|||||&#8221; border_width_top=&#8221;1px&#8221; border_color_top=&#8221;#878787&#8243; disabled=&#8221;on&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_4&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/www.aimlsystems.org\/2024\/wp-content\/uploads\/2024\/02\/Deepak_Bansal.jpg&#8221; title_text=&#8221;Deepak_Bansal&#8221; align=&#8221;center&#8221; _builder_version=&#8221;4.23.4&#8243; _module_preset=&#8221;default&#8221; max_width=&#8221;200px&#8221; custom_margin=&#8221;||15px|||&#8221; filter_saturate=&#8221;0%&#8221; animation_style=&#8221;slide&#8221; border_radii=&#8221;on|115px|115px|115px|115px&#8221; border_color_all=&#8221;#FFFFFF&#8221; box_shadow_style=&#8221;preset2&#8243; global_colors_info=&#8221;{}&#8221; transform_styles__hover_enabled=&#8221;on|hover&#8221; transform_scale__hover_enabled=&#8221;on|hover&#8221; transform_translate__hover_enabled=&#8221;on|hover&#8221; transform_rotate__hover_enabled=&#8221;on|hover&#8221; transform_skew__hover_enabled=&#8221;on|hover&#8221; transform_origin__hover_enabled=&#8221;on|hover&#8221; transform_scale__hover=&#8221;104%|104%&#8221; filter_saturate__hover_enabled=&#8221;on|hover&#8221; filter_saturate__hover=&#8221;100%&#8221; border_width_all__hover_enabled=&#8221;on|hover&#8221; border_width_all__hover=&#8221;1px&#8221; border_radii__hover_enabled=&#8221;on|hover&#8221; border_radii__hover=&#8221;on|115px|115px|115px|115px&#8221;][\/et_pb_image][\/et_pb_column][et_pb_column type=&#8221;3_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;4.23.4&#8243; _module_preset=&#8221;25d2b0d8-2373-4ae8-9188-0ef4b1bb77f4&#8243; text_text_color=&#8221;gcid-5fa2e3a6-d98c-4022-811a-b5fb6fa40d68&#8243; header_4_text_color=&#8221;gcid-5fa2e3a6-d98c-4022-811a-b5fb6fa40d68&#8243; header_4_font_size=&#8221;20px&#8221; custom_margin=&#8221;||15px|||&#8221; global_colors_info=&#8221;{%22gcid-5fa2e3a6-d98c-4022-811a-b5fb6fa40d68%22:%91%22text_text_color%22,%22header_4_text_color%22%93}&#8221;]<\/p>\n<h4><a href=\"https:\/\/www.linkedin.com\/in\/deepak-bansal-7578375\/\" target=\"_blank\" rel=\"noopener\">Deepak Bansal<\/a><\/h4>\n<p>Corporate Vice-President, Microsoft Azure, USA<\/p>\n<p>[\/et_pb_text][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;Title&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Leveraging LLMs for Networking &amp; Security in Cloud Environments<b><br \/><\/b><\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;Abstract&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<div>\n<div>Customer networks have grown, mostly organically, large and complex in cloud environments like Azure. Customers are often afraid to make changes and find it hard to diagnose when things go wrong.\u00a0<\/div>\n<div><\/div>\n<div>In this talk, I am going to share how Microsoft is using LLMs to simplify network operations at scale in Azure and how it is enabling the same for its customers through Azure Copilot. On the security side, I will share how LLMs are being used to enable security monitoring and threat hunting.<\/div>\n<\/div>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; disabled_on=&#8221;on|on|on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; border_radii=&#8221;on|30px|30px|30px|30px&#8221; disabled=&#8221;on&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;Bio&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<div class=\"row\">\n<div class=\"col-9 col-12-medium\">\n<div class=\"text-justify\">Prof. Milind Tambe is Gordon McKay Professor of Computer Science and Director of Center for Research in Computation and Society at Harvard University; concurrently, he is also Principal Scientist and Director &#8220;AI for Social Good&#8221; at Google Research. He is recipient of the IJCAI (International Joint Conference on Artificial Intelligence) John McCarthy Award, AAAI (Association for Advancement of Artificial Intelligence) Feigenbaum Prize, AAAI Robert S. Engelmore Memorial Lecture Award, AAMAS ACM (Association for Computing Machinery) Autonomous Agents Research Award, INFORMS ( Institute for Operations Research and the Management Sciences) Wagner prize for excellence in Operations Research practice and Rist Prize from MORS (Military Operations Research Society). He is a fellow of AAAI and ACM. For his work on AI and public safety, he has received Columbus Fellowship Foundation Homeland security award and commendations and certificates of appreciation from the US Coast Guard, the Federal Air Marshals Service and airport police at the city of Los Angeles.<\/div>\n<\/div>\n<\/div>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_4,3_4&#8243; disabled_on=&#8221;on|on|on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;45px|||||&#8221; border_width_top=&#8221;1px&#8221; border_color_top=&#8221;#878787&#8243; disabled=&#8221;on&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_4&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/www.aimlsystems.org\/2024\/wp-content\/uploads\/2023\/05\/kavita-bala.jpg&#8221; title_text=&#8221;kavita-bala&#8221; align=&#8221;center&#8221; _builder_version=&#8221;4.23.4&#8243; _module_preset=&#8221;default&#8221; max_width=&#8221;200px&#8221; custom_margin=&#8221;||15px|||&#8221; filter_saturate=&#8221;0%&#8221; animation_style=&#8221;slide&#8221; border_radii=&#8221;on|115px|115px|115px|115px&#8221; border_color_all=&#8221;#FFFFFF&#8221; box_shadow_style=&#8221;preset2&#8243; global_colors_info=&#8221;{}&#8221; transform_styles__hover_enabled=&#8221;on|hover&#8221; transform_scale__hover_enabled=&#8221;on|hover&#8221; transform_translate__hover_enabled=&#8221;on|hover&#8221; transform_rotate__hover_enabled=&#8221;on|hover&#8221; transform_skew__hover_enabled=&#8221;on|hover&#8221; transform_origin__hover_enabled=&#8221;on|hover&#8221; transform_scale__hover=&#8221;104%|104%&#8221; filter_saturate__hover_enabled=&#8221;on|hover&#8221; filter_saturate__hover=&#8221;100%&#8221; border_width_all__hover_enabled=&#8221;on|hover&#8221; border_width_all__hover=&#8221;1px&#8221; border_radii__hover_enabled=&#8221;on|hover&#8221; border_radii__hover=&#8221;on|115px|115px|115px|115px&#8221;][\/et_pb_image][\/et_pb_column][et_pb_column type=&#8221;3_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;4.23.4&#8243; _module_preset=&#8221;25d2b0d8-2373-4ae8-9188-0ef4b1bb77f4&#8243; text_text_color=&#8221;gcid-5fa2e3a6-d98c-4022-811a-b5fb6fa40d68&#8243; header_4_text_color=&#8221;gcid-5fa2e3a6-d98c-4022-811a-b5fb6fa40d68&#8243; header_4_font_size=&#8221;20px&#8221; custom_margin=&#8221;||15px|||&#8221; global_colors_info=&#8221;{%22gcid-5fa2e3a6-d98c-4022-811a-b5fb6fa40d68%22:%91%22text_text_color%22,%22header_4_text_color%22%93}&#8221;]<\/p>\n<h4><a href=\"https:\/\/www.deakin.edu.au\/about-deakin\/people\/svetha-venkatesh\" target=\"_blank\" rel=\"noopener\"><\/a><\/h4>\n<h4><a href=\"https:\/\/www.cs.cornell.edu\/~kb\/\">Prof. Kavita Bala<\/a><\/h4>\n<p>Cornell University, USA<\/p>\n<p>[\/et_pb_text][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;Title&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Visual Discovery and Understanding in Satellite Imagery<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;Abstract&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>We are capturing visual data of the planet at an unprecedented scale through satellite imagery, drones, social media photo collections, and more. Tools to understand and discover insights from this visual data are of immense value to scientists, cultural anthropologists, and policy makers. In this talk I will describe research from my group that analyzes spatio-temporal image collections to understand a wide range of phenomena including style trends, cultural events, crop cycles, natural disasters like wildfires, and more. We introduce new vision-language models to allow unsupervised discovery of open-world concepts, to discover spatio-temporal trends and events, and new datasets and benchmarks for satellite events. I will describe potential applications of these tools to crop science, climate science, disaster discovery, and cultural erasure.<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;Bio&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<div class=\"row\">\n<div class=\"col-9 col-12-medium\">\n<div class=\"text-justify\">\n<p>Kavita Bala is the inaugural dean of the Cornell Bowers College of Computing and Information Science at Cornell University. Bala received her S.M. and Ph.D. from the Massachusetts Institute of Technology (MIT). Before becoming dean, she served as the chair of the Cornell Computer Science department.\u00a0 Bala leads research in computer vision and computer graphics in visual discovery and recognition; material modeling and acquisition; physically based rendering; and perception. She co-founded GrokStyle, a visual recognition AI company, which drew IKEA as a client, and was acquired by Facebook in 2019. Bala is the recipient of the SIGGRAPH Computer Graphics Achievement Award, the IIT Bombay Distinguished Alumnus Award, and is a Fellow of the Association for Computing Machinery (ACM) and the SIGGRAPH Academy. Bala has received multiple teaching awards, has served as the Editor-in-Chief of Transactions on Graphics (TOG), and serves on the boards of the Toyota Technological Institute at Chicago (TTIC), and non-profits <a href=\"https:\/\/www.colorstack.org\/\" target=\"_blank\" rel=\"noopener\">Colorstack<\/a>, aimed at increasing representation in computer science, and the Ithaca\u00a0<a href=\"https:\/\/sciencenter.org\/\" target=\"_blank\" rel=\"noopener\">Sciencenter<\/a>.<\/p>\n<\/div>\n<div class=\"text-justify\"><\/div>\n<div class=\"text-justify\"><\/div>\n<div class=\"text-justify\"><\/div>\n<div class=\"text-justify\"><\/div>\n<\/div>\n<\/div>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_4,3_4&#8243; disabled_on=&#8221;on|on|on&#8221; _builder_version=&#8221;4.23.4&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;45px|||||&#8221; border_width_top=&#8221;1px&#8221; border_color_top=&#8221;#878787&#8243; disabled=&#8221;on&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_4&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/www.aimlsystems.org\/2024\/wp-content\/uploads\/2024\/05\/Dan_roth.jpg&#8221; title_text=&#8221;Dan_roth&#8221; align=&#8221;center&#8221; _builder_version=&#8221;4.23.4&#8243; _module_preset=&#8221;default&#8221; max_width=&#8221;200px&#8221; custom_margin=&#8221;||15px|||&#8221; filter_saturate=&#8221;0%&#8221; animation_style=&#8221;slide&#8221; border_radii=&#8221;on|115px|115px|115px|115px&#8221; border_color_all=&#8221;#FFFFFF&#8221; box_shadow_style=&#8221;preset2&#8243; global_colors_info=&#8221;{}&#8221; transform_styles__hover_enabled=&#8221;on|hover&#8221; transform_scale__hover_enabled=&#8221;on|hover&#8221; transform_translate__hover_enabled=&#8221;on|hover&#8221; transform_rotate__hover_enabled=&#8221;on|hover&#8221; transform_skew__hover_enabled=&#8221;on|hover&#8221; transform_origin__hover_enabled=&#8221;on|hover&#8221; transform_scale__hover=&#8221;104%|104%&#8221; filter_saturate__hover_enabled=&#8221;on|hover&#8221; filter_saturate__hover=&#8221;100%&#8221; border_width_all__hover_enabled=&#8221;on|hover&#8221; border_width_all__hover=&#8221;1px&#8221; border_radii__hover_enabled=&#8221;on|hover&#8221; border_radii__hover=&#8221;on|115px|115px|115px|115px&#8221;][\/et_pb_image][\/et_pb_column][et_pb_column type=&#8221;3_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;25d2b0d8-2373-4ae8-9188-0ef4b1bb77f4&#8243; text_text_color=&#8221;gcid-5fa2e3a6-d98c-4022-811a-b5fb6fa40d68&#8243; header_4_text_color=&#8221;gcid-5fa2e3a6-d98c-4022-811a-b5fb6fa40d68&#8243; header_4_font_size=&#8221;20px&#8221; custom_margin=&#8221;||15px|||&#8221; global_colors_info=&#8221;{%22gcid-5fa2e3a6-d98c-4022-811a-b5fb6fa40d68%22:%91%22text_text_color%22,%22header_4_text_color%22%93}&#8221;]<\/p>\n<h4><a href=\"https:\/\/www.linkedin.com\/in\/dan-roth-8667361\/\" target=\"_blank\" rel=\"noopener\">Prof. Dan Roth<\/a><\/h4>\n<p>Oracle and the University of Pennsylvania<\/p>\n<p>[\/et_pb_text][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;Title&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Reasoning Myths about Language Models: What is Next?<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;Abstract&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>The rapid progress made over the last few years in generating linguistically coherent natural language has blurred, in the mind of many, the difference between natural language generation, understanding, and the ability to reason with respect to the world. Nevertheless, robust support of high-level decisions that depend on natural language understanding, and one that requires dealing with \u201ctruthfulness\u201d are still beyond our capabilities, partly since most of these tasks are very sparse, often require grounding, and may depend on new types of supervision signals.<br \/>I will discuss some of the challenges underlying reasoning and argue that we should focus on LLMs as orchestrators \u2013 coordinating and managing multiple models and special purpose agents. I will discuss some of the challenges and present some of our work in this space, focusing on supporting planning and a range of quantitative, visual, and spatial reasoning tasks.<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;Bio&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<div class=\"row\">\n<div class=\"col-9 col-12-medium\">Dan Roth is the Eduardo D. Glandt Distinguished Professor at the Department of Computer and Information Science, University of Pennsylvania and the Chief AI Scientist at Oracle. Until June 2024 Dan was a VP\/Distinguished Scientist at AWS AI. In his role at AWS Roth led over the last three years the scientific effort behind the first-generation Generative AI products from AWS, including Titan Models, Amazon Q efforts, and Bedrock, from inception until they became generally available. <br \/>Dan is a Fellow of the AAAS, ACM, AAAI, and ACL. In 2017, Dan was awarded the John McCarthy Award; he was recognized for \u201cfor major conceptual and theoretical advances in the modeling of natural language understanding, machine learning, and reasoning.\u201d He has published broadly in natural language processing, machine learning, knowledge representation and reasoning, and learning theory, was the Editor-in-Chief of the Journal of Artificial Intelligence Research (JAIR) and has served as a Program Chair and Conference Chair for the major conferences in his research areas. Roth has been involved in several startups; most recently he was a co-founder and chief scientist of NexLP, a startup that leverages the latest advances in Natural Language Processing, Cognitive Analytics, and Machine Learning in the legal and compliance domains. NexLP was acquired by Reveal. Dan received his B.A Summa cum laude in Mathematics from the Technion, Israel and his Ph.D. in Computer Science from Harvard University in 1995.<\/div>\n<\/div>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_4,3_4&#8243; disabled_on=&#8221;on|on|on&#8221; _builder_version=&#8221;4.23.4&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;45px|||||&#8221; border_width_top=&#8221;1px&#8221; border_color_top=&#8221;#878787&#8243; disabled=&#8221;on&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_4&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/www.aimlsystems.org\/2024\/wp-content\/uploads\/2024\/03\/AI-ML-Photo-e1710219861596.jpeg&#8221; title_text=&#8221;AI ML Photo&#8221; align=&#8221;center&#8221; _builder_version=&#8221;4.23.4&#8243; _module_preset=&#8221;default&#8221; max_width=&#8221;200px&#8221; custom_margin=&#8221;||15px|||&#8221; filter_saturate=&#8221;0%&#8221; animation_style=&#8221;slide&#8221; border_radii=&#8221;on|115px|115px|115px|115px&#8221; border_color_all=&#8221;#FFFFFF&#8221; box_shadow_style=&#8221;preset2&#8243; global_colors_info=&#8221;{}&#8221; transform_styles__hover_enabled=&#8221;on|hover&#8221; transform_scale__hover_enabled=&#8221;on|hover&#8221; transform_translate__hover_enabled=&#8221;on|hover&#8221; transform_rotate__hover_enabled=&#8221;on|hover&#8221; transform_skew__hover_enabled=&#8221;on|hover&#8221; transform_origin__hover_enabled=&#8221;on|hover&#8221; transform_scale__hover=&#8221;104%|104%&#8221; filter_saturate__hover_enabled=&#8221;on|hover&#8221; filter_saturate__hover=&#8221;100%&#8221; border_width_all__hover_enabled=&#8221;on|hover&#8221; border_width_all__hover=&#8221;1px&#8221; border_radii__hover_enabled=&#8221;on|hover&#8221; border_radii__hover=&#8221;on|115px|115px|115px|115px&#8221;][\/et_pb_image][\/et_pb_column][et_pb_column type=&#8221;3_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;4.23.4&#8243; _module_preset=&#8221;25d2b0d8-2373-4ae8-9188-0ef4b1bb77f4&#8243; text_text_color=&#8221;gcid-5fa2e3a6-d98c-4022-811a-b5fb6fa40d68&#8243; header_4_text_color=&#8221;gcid-5fa2e3a6-d98c-4022-811a-b5fb6fa40d68&#8243; header_4_font_size=&#8221;20px&#8221; custom_margin=&#8221;||15px|||&#8221; global_colors_info=&#8221;{%22gcid-5fa2e3a6-d98c-4022-811a-b5fb6fa40d68%22:%91%22text_text_color%22,%22header_4_text_color%22%93}&#8221;]<\/p>\n<h4><a href=\"https:\/\/www.cs.columbia.edu\/~nayar\/\">Prof. Shree Nayar<\/a><\/h4>\n<p>Columbia University, USA<\/p>\n<p>[\/et_pb_text][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;Title&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Computational Imaging and Future Cameras<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;Abstract&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Computational imaging uses new optics to capture a coded image, and an appropriate algorithm to decode the captured image. This approach has enabled mobile devices to produce images that are rich, immersive and interactive. In this talk, we will show examples of computational cameras that are transforming the way visual information is captured, communicated and used by both humans and machines.<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;Bio&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<div class=\"row\">\n<div class=\"col-9 col-12-medium\">\n<div class=\"text-justify\"><\/div>\n<div class=\"text-justify\">Shree K. Nayar is the T. C. Chang Professor of Computer Science at Columbia University. He heads the Columbia Imaging and Vision Laboratory (CAVE), which develops computational imaging and computer vision systems. He received his PhD degree in Electrical and Computer Engineering from the Robotics Institute at Carnegie Mellon University. For his research and teaching he has received several honors including the David Marr Prize (1990 and 1995), the David and Lucile Packard Fellowship (1992), the National Young Investigator Award (1993), the NTT Distinguished Scientific Achievement Award (1994), the Keck Foundation Award for Excellence in Teaching (1995), the Columbia Great Teacher Award (2006), the Carnegie Mellon Alumni Achievement Award (2009), Sony Appreciation Honor (2014), the Columbia Engineering Distinguished Faculty Teaching Award (2015), the IEEE PAMI Distinguished Researcher Award (2019), the Funai Achievement Award (2021), and the Okawa Prize (2022). For his contributions to computer vision and computational imaging, he was elected to the National Academy of Engineering in 2008, the American Academy of Arts and Sciences in 2011, and the National Academy of Inventors in 2014.<\/div>\n<div class=\"text-justify\"><\/div>\n<div class=\"text-justify\"><\/div>\n<div class=\"text-justify\"><\/div>\n<\/div>\n<\/div>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.23.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Keynote Speakers<\/p>\n","protected":false},"author":1,"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. 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