{"id":278,"date":"2023-05-23T01:47:10","date_gmt":"2023-05-22T20:17:10","guid":{"rendered":"https:\/\/aiml.3it.in\/?page_id=278"},"modified":"2025-10-04T13:54:13","modified_gmt":"2025-10-04T08:24:13","slug":"demos","status":"publish","type":"page","link":"https:\/\/www.aimlsystems.org\/2026\/demos\/","title":{"rendered":"Demo &amp; Exhibits"},"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; 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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%||32px||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;410.9px&#8221; custom_padding=&#8221;7px||1px|||&#8221; locked=&#8221;off&#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;4.25.1&#8243; _module_preset=&#8221;default&#8221; min_height=&#8221;3px&#8221; custom_padding=&#8221;||3px|||&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2 style=\"text-align: center;\">Schedule<\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; min_height=&#8221;28px&#8221; custom_margin=&#8221;-31px||-1px|||&#8221; custom_padding=&#8221;8px|||||&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h4 style=\"text-align: center;\">DATE: October 9\u201310, 2025<\/h4>\n<h4 style=\"text-align: center;\">Venue: Indian Affairs<\/h4>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;1px||0px|||&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h4 style=\"text-align: center;\"><\/h4>\n<div class=\"WordSection1\">\n<p><!-- Day 1 --><\/p>\n<p><!-- Day 2 --><\/p>\n<table class=\"MsoNormalTable\" border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\" style=\"border-collapse: collapse; width: 100%; height: 696px;\">\n<tbody>\n<tr style=\"height: 24px;\">\n<td width=\"20%\" style=\"border: 1pt solid black; background: #6d9eeb; text-align: center; padding: 6px; width: 20%; height: 24px;\"><b><span style=\"font-size: 10pt; font-family: 'Arial',sans-serif; color: black;\">Time<\/span><\/b><\/td>\n<td width=\"80%\" style=\"border: 1pt solid black; background: #6d9eeb; text-align: center; padding: 6px; width: 80%; height: 24px;\"><b><span style=\"font-size: 10pt; font-family: 'Arial',sans-serif; color: black;\">Event<\/span><\/b><\/td>\n<\/tr>\n<tr style=\"height: 24px;\">\n<td colspan=\"2\" style=\"border: 1pt solid black; background: #cccccc; text-align: center; width: 100%; height: 24px;\">\n<p><b>Day 1 &amp; Day 2 \u2013 October 9, 2025 &amp; October 10, 2025<\/b><\/p>\n<\/td>\n<\/tr>\n<tr style=\"height: 648px;\">\n<td style=\"border: 1pt solid black; background: #ffefe7; text-align: center; width: 20%; height: 648px;\"><strong>10:00 AM \u2013 5:30 PM<\/strong><\/td>\n<td style=\"border: 1pt solid black; background: #ffefe7; width: 80%; height: 648px;\">\n<p style=\"text-align: center;\">#246: AI-Driven Data Governance: Real-Time Observability, Data Quality, and Compliance<\/p>\n<p style=\"text-align: center;\">#252: Dermatica: A Mobile Solution for Preliminary Skin Disease Diagnosis<br \/>Amazon Demo \u2013 Troubleshooting Chatbot<\/p>\n<p style=\"text-align: center;\">#248: BizEye: Broad-spectrum Intelligent Zone Eye for Abnormality Detection<\/p>\n<p style=\"text-align: center;\">#251: <span>Ta Ka Di Mi: AI for Konnakkol and Rhythm Training<\/span><\/p>\n<p style=\"text-align: center;\">#255: PolicyBot: Reliable Q&amp;A over Policy Documents<\/p>\n<p style=\"text-align: center;\">#254: GenSenSim: Generative Sensor Response Simulator<\/p>\n<p style=\"text-align: center;\">#249: Machine Learning-Enhanced EKF for Vehicle Localization under Sparse Observations<\/p>\n<p style=\"text-align: center;\">#244: AI-Driven Elephant Detection and Alert Systems for Human-Wildlife Conflict Mitigation<\/p>\n<p style=\"text-align: center;\"><strong>Sprinklr Demo<\/strong><\/p>\n<p style=\"text-align: center;\"><strong>TCS Demo<\/strong><\/p>\n<p style=\"text-align: center;\"><strong>Walmart Demo<\/strong><\/p>\n<p style=\"text-align: center;\"><strong>IBM Demo<\/strong><\/p>\n<p style=\"text-align: center;\"><strong>Microsoft Demo<\/strong><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;3_5,2_5&#8243; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; min_height=&#8221;404.7px&#8221; custom_margin=&#8221;|auto|1px|auto||&#8221; custom_padding=&#8221;||0px|||&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;3_5&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text disabled_on=&#8221;on|on|on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;|700|||||||&#8221; text_text_color=&#8221;#E02B20&#8243; disabled=&#8221;on&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Demos submissions due: 29th August 2025, <span>11:59 pm <\/span>AoE<\/p>\n<p>[\/et_pb_text][et_pb_code disabled_on=&#8221;on|on|on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; link_option_url=&#8221;https:\/\/cmt3.research.microsoft.com\/AIMLSystems2024\/Submission\/Index&#8221; disabled=&#8221;on&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<style><!-- [et_pb_line_break_holder] -->  #submit_button{color:black;border-color:black}<!-- [et_pb_line_break_holder] --><\/style>\n<p>[\/et_pb_code][et_pb_button button_url=&#8221;https:\/\/cmt3.research.microsoft.com\/AIMLSystems2025\/Submission\/Index&#8221; url_new_window=&#8221;on&#8221; button_text=&#8221;Submit Papers&#8221; button_alignment=&#8221;left&#8221; disabled_on=&#8221;on|on|on&#8221; module_id=&#8221;submit_button&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_button=&#8221;on&#8221; button_text_size=&#8221;15px&#8221; button_text_color=&#8221;#000000&#8243; button_border_width=&#8221;1px&#8221; button_border_radius=&#8221;78px&#8221; button_font=&#8221;Poppins|500||on|||||&#8221; button_icon=&#8221;&#x24;||divi||400&#8243; animation_style=&#8221;fade&#8221; disabled=&#8221;on&#8221; global_colors_info=&#8221;{}&#8221; button_bg_color__hover_enabled=&#8221;on|hover&#8221; button_bg_color__hover=&#8221;&#8221; button_bg_enable_color__hover=&#8221;off&#8221; button_bg_color_gradient_stops__hover=&#8221;#2b87da 0%|#0d1c63 100%&#8221; button_bg_use_color_gradient__hover=&#8221;on&#8221;][\/et_pb_button][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>The FIFTH INTERNATIONAL CONFERENCE ON AI-ML SYSTEMS invites demos from industry, academia, and startups showcasing cutting-edge technologies and their applications. AIML is a premier international conference dedicated to advances in Networking and Communication Systems.<br \/>AIML 2025 will be held in India (Bangalore, Karnataka), during 8\u201311 OCTOBER 2025.<\/p>\n<p><strong>All accepted demos will be published in the conference proceedings<\/strong>. Please consult the Demos &amp; Exhibits chairs for any exceptions.<\/p>\n<p>The use of artificial intelligence (AI)\u2013generated text in an article shall be disclosed in the acknowledgments section of any paper submitted to an IEEE Conference or Periodical. The sections of the paper that use AI-generated text shall have a citation to the AI system used to generate the text.<strong><a href=\"https:\/\/cmt3.research.microsoft.com\/AIMLSystems2024\/Submission\/Index\"><\/a><\/strong><\/p>\n<p class=\"text-justify pe-4\"><strong><\/strong><\/p>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;2_5&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_tabs active_tab_background_color=&#8221;#1c1b3a&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; tab_text_color=&#8221;#FFFFFF&#8221; background_color=&#8221;rgba(0,0,0,0)&#8221; custom_margin=&#8221;-4px||17px|||&#8221; border_radii=&#8221;on|11px|11px|11px|11px&#8221; global_colors_info=&#8221;{%22gcid-f1f9244b-c8ab-43e1-95c3-c0bdf69ac7b5%22:%91%22active_tab_background_color%22%93}&#8221;][et_pb_tab title=&#8221;Important Dates&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<ul>\n<li>Submission deadline: <span style=\"text-decoration: line-through;\">22nd August 2025,<\/span> 29th August 2025, <span>11:59 pm\u00a0 <\/span>AoE<\/li>\n<li>Notification of Acceptance: <span style=\"text-decoration: line-through;\">5th September 2025<\/span>, 12th September 2025, <span>11:59 pm <\/span>AoE<\/li>\n<li>Camera-ready Deadline: <span style=\"text-decoration: line-through;\">15th September 2025<\/span>, 22nd\u00a0September 2025, <span>11:59 pm <\/span>AoE<\/li>\n<\/ul>\n<p>[\/et_pb_tab][\/et_pb_tabs][et_pb_tabs active_tab_background_color=&#8221;#1c1b3a&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; tab_text_color=&#8221;#FFFFFF&#8221; background_color=&#8221;rgba(0,0,0,0)&#8221; custom_margin=&#8221;3px|||||&#8221; custom_padding=&#8221;6px|||||&#8221; border_radii=&#8221;on|11px|11px|11px|11px&#8221; global_colors_info=&#8221;{%22gcid-f1f9244b-c8ab-43e1-95c3-c0bdf69ac7b5%22:%91%22active_tab_background_color%22%93}&#8221;][et_pb_tab title=&#8221;Chairs&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<ul>\n<li><a href=\"https:\/\/subbareddy248.github.io\/\" target=\"_blank\" rel=\"noopener\"><\/a><a href=\"https:\/\/iitr.ac.in\/Schools\/Mehta%20Family%20School%20of%20Data%20Science%20and%20Artificial%20Intelligence\/People\/Faculty\/101043.html\" target=\"_blank\" rel=\"noopener\">Gaurav Kumar <\/a><a href=\"https:\/\/iitr.ac.in\/Schools\/Mehta%20Family%20School%20of%20Data%20Science%20and%20Artificial%20Intelligence\/People\/Faculty\/101043.html\" target=\"_blank\" rel=\"noopener\">Nayak<\/a>, <span>IIT Roorkee, India<\/span><\/li>\n<li><a href=\"https:\/\/subbareddy248.github.io\/\" target=\"_blank\" rel=\"noopener\">Subba Reddy Oota<\/a>, TU Berlin, Germany<\/li>\n<\/ul>\n<p>[\/et_pb_tab][\/et_pb_tabs][\/et_pb_column][\/et_pb_row][et_pb_row disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; locked=&#8221;off&#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;4.23.4&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; header_4_font_size_tablet=&#8221;&#8221; header_4_font_size_phone=&#8221;22px&#8221; header_4_font_size_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h4 id=\"topics-of-interest\">Topics of Interest<\/h4>\n<p>The areas of interest are broadly categorized into the following three streams: (<span>including but not limited to)<\/span><\/p>\n<p>[\/et_pb_text][et_pb_tabs active_tab_background_color=&#8221;#1c1b3a&#8221; inactive_tab_background_color=&#8221;#0b91c6&#8243; _builder_version=&#8221;4.23.4&#8243; _module_preset=&#8221;default&#8221; tab_text_color=&#8221;#FFFFFF&#8221; background_color=&#8221;rgba(0,0,0,0)&#8221; border_radii=&#8221;on|11px|11px|11px|11px&#8221; global_colors_info=&#8221;{%22gcid-f1f9244b-c8ab-43e1-95c3-c0bdf69ac7b5%22:%91%22active_tab_background_color%22%93}&#8221;][et_pb_tab title=&#8221;Systems for AI-ML&#8221; _builder_version=&#8221;4.23.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<ul>\n<li>CPU\/GPU architectures for AI-ML<\/li>\n<li>Specialized\/Embedded hardware for AI-ML workloads<\/li>\n<li>Data intensive systems for efficient and distributed training<\/li>\n<li>Challenges in production deployment of AI-ML systems<\/li>\n<li>AI-ML programming models, languages, and abstractions<\/li>\n<li>AI-ML compilers and runtime<\/li>\n<li>Efficient systems for data preparation and processing<\/li>\n<li>Systems for visualization of data, models, and predictions<\/li>\n<li>Testing, debugging, and monitoring of AI-ML applications<\/li>\n<li>Cloud-computing for machine and deep learning<\/li>\n<li>Machine and deep learning \u201cas-a-service\u201d<\/li>\n<li>Tiny Machine Learning<\/li>\n<li>Embedded and Edge AI<\/li>\n<li>Pervasive AI<\/li>\n<li>Federated, distributed and parallel learning algorithms<\/li>\n<li>MLOps (data collection, monitoring and re-training)<\/li>\n<li>Efficient inference for deep learning models<\/li>\n<li>Logging mechanisms for deep learning models<\/li>\n<\/ul>\n<p>[\/et_pb_tab][et_pb_tab title=&#8221;AI-ML for Systems&#8221; _builder_version=&#8221;4.23.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<div class=\"text-attention\">\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"2\">\u00a0AI-ML for VLSI and architecture design<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\">\u00a0AI-ML in compiler optimization<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\">AI-ML in data management \u2013 including database optimizations, virtualization, etc.<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\">AI-ML for networks \u2013 design of networks, load modeling, etc.<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\">AI-ML for power management \u2013 green computing, power models, etc.<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\">AI-ML for Cloud Computing<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\">AI-ML for IOT networks<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\">AI-ML for HPC<\/li>\n<\/ul>\n<\/div>\n<p>[\/et_pb_tab][et_pb_tab title=&#8221; AI-ML for Socio-Economic Systems Design&#8221; _builder_version=&#8221;4.23.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<div class=\"text-attention\">\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"2\">Deep Learning Architecture and applications<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\">Computer Vision and Image processing<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\">Natural language processing and understanding<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\">Speech signal processing and Socio-Economic Systems<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\">AI-ML in cyber-physical systems<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\">Privacy, Security, and Robustness in AI-ML systems<\/li>\n<li>Ethics in AI-ML systems<\/li>\n<li>Fairness, Transparency, Interpretability and Explainability in AI-ML<\/li>\n<li>Sustainable AI-ML<\/li>\n<\/ul>\n<\/div>\n<p>[\/et_pb_tab][et_pb_tab title=&#8221; Domain-Specific AI-ML&#8221; _builder_version=&#8221;4.23.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<ul>\n<li><span style=\"font-weight: 400;\">AI for Healthcare<\/span><\/li>\n<li><span style=\"font-weight: 400;\">AI for Resource Allocation, Econometrics, and Finance<\/span><\/li>\n<li><span style=\"font-weight: 400;\"> AI for Energy<\/span><\/li>\n<li><span style=\"font-weight: 400;\">AI for Transportation and Built Environment<br \/><\/span><\/li>\n<li><span style=\"font-weight: 400;\"> AI for Climate Change &amp; Sustainability<\/span><\/li>\n<li><span style=\"font-weight: 400;\">AI for Education<\/span><\/li>\n<li><span style=\"font-weight: 400;\"> AI for Art, Music, and Sound<br \/><\/span><\/li>\n<\/ul>\n<p>[\/et_pb_tab][\/et_pb_tabs][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; background_enable_color=&#8221;off&#8221; background_image=&#8221;https:\/\/www.aimlsystems.org\/2023\/wp-content\/uploads\/2023\/05\/grid-bg-1.png&#8221; background_size=&#8221;custom&#8221; background_image_width=&#8221;50%&#8221; background_image_height=&#8221;50%&#8221; background_repeat=&#8221;repeat&#8221; background_last_edited=&#8221;on|phone&#8221; background_enable_image_phone=&#8221;off&#8221; background_size_phone=&#8221;contain&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row disabled_on=&#8221;on|on|on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; disabled=&#8221;on&#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;4.23.4&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; header_4_font_size_tablet=&#8221;&#8221; header_4_font_size_phone=&#8221;22px&#8221; header_4_font_size_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h4 id=\"topics-of-interest\">Topics of Interest<\/h4>\n<p>The areas of interest are broadly categorized into the following three streams: (<span>including but not limited to)<\/span><\/p>\n<p>[\/et_pb_text][et_pb_tabs active_tab_background_color=&#8221;#1c1b3a&#8221; inactive_tab_background_color=&#8221;#0b91c6&#8243; _builder_version=&#8221;4.23.4&#8243; _module_preset=&#8221;default&#8221; tab_text_color=&#8221;#FFFFFF&#8221; background_color=&#8221;rgba(0,0,0,0)&#8221; border_radii=&#8221;on|11px|11px|11px|11px&#8221; global_colors_info=&#8221;{%22gcid-f1f9244b-c8ab-43e1-95c3-c0bdf69ac7b5%22:%91%22active_tab_background_color%22%93}&#8221;][et_pb_tab title=&#8221;Systems for AI-ML&#8221; _builder_version=&#8221;4.23.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<ul>\n<li>CPU\/GPU architectures for AI-ML<\/li>\n<li>Specialized\/Embedded hardware for AI-ML workloads<\/li>\n<li>Data intensive systems for efficient and distributed training<\/li>\n<li>Challenges in production deployment of AI-ML systems<\/li>\n<li>AI-ML programming models, languages, and abstractions<\/li>\n<li>AI-ML compilers and runtime<\/li>\n<li>Efficient systems for data preparation and processing<\/li>\n<li>Systems for visualization of data, models, and predictions<\/li>\n<li>Testing, debugging, and monitoring of AI-ML applications<\/li>\n<li>Cloud-computing for machine and deep learning<\/li>\n<li>Machine and deep learning \u201cas-a-service\u201d<\/li>\n<li>Tiny Machine Learning<\/li>\n<li>Embedded and Edge AI<\/li>\n<li>Pervasive AI<\/li>\n<li>Federated, distributed and parallel learning algorithms<\/li>\n<li>MLOps (data collection, monitoring and re-training)<\/li>\n<li>Efficient inference for deep learning models<\/li>\n<li>Logging mechanisms for deep learning models<\/li>\n<\/ul>\n<p>[\/et_pb_tab][et_pb_tab title=&#8221;AI-ML for Systems&#8221; _builder_version=&#8221;4.23.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<div class=\"text-attention\">\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"2\">\u00a0AI-ML for VLSI and architecture design<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\">\u00a0AI-ML in compiler optimization<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\">AI-ML in data management \u2013 including database optimizations, virtualization, etc.<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\">AI-ML for networks \u2013 design of networks, load modeling, etc.<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\">AI-ML for power management \u2013 green computing, power models, etc.<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\">AI-ML for Cloud Computing<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\">AI-ML for IOT networks<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\">AI-ML for HPC<\/li>\n<\/ul>\n<\/div>\n<p>[\/et_pb_tab][et_pb_tab title=&#8221; AI-ML for Socio-Economic Systems Design&#8221; _builder_version=&#8221;4.23.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<div class=\"text-attention\">\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"2\">Deep Learning Architecture and applications<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\">Computer Vision and Image processing<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\">Natural language processing and understanding<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\">Speech signal processing and Socio-Economic Systems<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\">AI-ML in cyber-physical systems<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\">Privacy, Security, and Robustness in AI-ML systems<\/li>\n<li>Ethics in AI-ML systems<\/li>\n<li>Fairness, Transparency, Interpretability and Explainability in AI-ML<\/li>\n<li>Sustainable AI-ML<\/li>\n<\/ul>\n<\/div>\n<p>[\/et_pb_tab][et_pb_tab title=&#8221; Domain-Specific AI-ML&#8221; _builder_version=&#8221;4.23.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<ul>\n<li><span style=\"font-weight: 400;\">AI for Healthcare<\/span><\/li>\n<li><span style=\"font-weight: 400;\">AI for Resource Allocation, Econometrics, and Finance<\/span><\/li>\n<li><span style=\"font-weight: 400;\"> AI for Energy<\/span><\/li>\n<li><span style=\"font-weight: 400;\">AI for Transportation and Built Environment<br \/><\/span><\/li>\n<li><span style=\"font-weight: 400;\"> AI for Climate Change &amp; Sustainability<\/span><\/li>\n<li><span style=\"font-weight: 400;\">AI for Education<\/span><\/li>\n<li><span style=\"font-weight: 400;\"> AI for Art, Music, and Sound<br \/><\/span><\/li>\n<\/ul>\n<p>[\/et_pb_tab][\/et_pb_tabs][\/et_pb_column][\/et_pb_row][et_pb_row disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;7px|||||&#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_accordion 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; background_enable_color=&#8221;off&#8221; custom_margin=&#8221;||14px|||&#8221; animation_direction=&#8221;bottom&#8221; border_radii=&#8221;on|30px|30px|30px|30px&#8221; disabled=&#8221;on&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;Important note to authors about the new ACM open access publishing model&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#f7f7f7&#8243; background_enable_color=&#8221;on&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>ACM has introduced a new open access publishing model for the International Conference Proceedings Series (ICPS). Authors based at institutions that are not yet part of the <a href=\"https:\/\/libraries.acm.org\/acmopen\/open-participants\" target=\"_blank\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=https:\/\/libraries.acm.org\/acmopen\/open-participants&amp;source=gmail&amp;ust=1721965018718000&amp;usg=AOvVaw08K2raXgm5uGBK4NAjqzgG\" rel=\"noopener\">ACM Open program<\/a> and do not qualify for a waiver will be required to pay an article processing charge (APC) to publish their ICPS article in the ACM Digital Library. To determine whether or not an APC will be applicable to your article, please follow the detailed guidance here: <a href=\"https:\/\/www.acm.org\/publications\/icps\/author-guidance\" target=\"_blank\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=https:\/\/www.acm.org\/publications\/icps\/author-guidance&amp;source=gmail&amp;ust=1721965018718000&amp;usg=AOvVaw3yW8py6g90M47RyskouKNT\" rel=\"noopener\">https:\/\/www.acm.org\/<wbr \/>publications\/icps\/author-<wbr \/>guidance<\/a>.<\/p>\n<p>Further information may be found on the ACM website, as follows:<\/p>\n<p>Full details of the new ICPS publishing model: <a href=\"https:\/\/www.acm.org\/publications\/icps\/faq\" target=\"_blank\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=https:\/\/www.acm.org\/publications\/icps\/faq&amp;source=gmail&amp;ust=1721965018718000&amp;usg=AOvVaw1HKKXkd4ki_HfyAVLEGg8c\" rel=\"noopener\">https:\/\/www.acm.org\/<wbr \/>publications\/icps\/faq<\/a><br \/>Full details of the ACM Open program: <a href=\"https:\/\/www.acm.org\/publications\/openaccess\" target=\"_blank\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=https:\/\/www.acm.org\/publications\/openaccess&amp;source=gmail&amp;ust=1721965018718000&amp;usg=AOvVaw2yL9XalOCin6I5BV91zRH-\" rel=\"noopener\">https:\/\/www.acm.org\/<wbr \/>publications\/openaccess<\/a><\/p>\n<p>Please direct all questions about the new model to <a href=\"mailto:icps-info@acm.org\" target=\"_blank\" rel=\"noopener\">icps-info@acm.org<\/a>.<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_direction=&#8221;bottom&#8221; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;Submission Guidelines&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#f9f9f9&#8243; background_enable_color=&#8221;on&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><span style=\"font-weight: 400;\">We invite the authors to submit their original work(s) in the following two categories:<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Research Demos:<\/b><span style=\"font-weight: 400;\"> The authors are requested to submit an extended abstract no longer than three pages including all figures and references, describing the demo and any special requirements. The formatting must adhere to the <\/span><b>Main Conference Guidelines<\/b><span style=\"font-weight: 400;\">. Submissions not adhering to the conference template will be rejected without review. Submissions must be in PDF format.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Product &amp; Startup Demos:<\/b><span style=\"font-weight: 400;\"> The authors are requested to submit a proposal no longer than three pages that outline the motivation, technologies, and use cases that will be demoed.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><strong>Submission links: <a href=\"https:\/\/cmt3.research.microsoft.com\/AIMLSystems2025\/Submission\/Index\" target=\"_blank\" rel=\"noopener\">https:\/\/cmt3.research.microsoft.com\/AIMLSystems2025\/Submission\/Index<\/a><\/strong><span style=\"font-weight: 400;\"><\/span><\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">At least one author of an accepted demo is expected to register for the conference and present the demo in person.<\/span><\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][et_pb_row disabled_on=&#8221;on|on|on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;7px|||||&#8221; disabled=&#8221;on&#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_accordion icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; _builder_version=&#8221;4.23.4&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_direction=&#8221;bottom&#8221; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;Demo Setup&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.23.4&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#f9f9f9&#8243; background_enable_color=&#8221;on&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><span style=\"font-size: 14px;\">The following default setup will be available for each demo physically (there might be minor last-minute changes):<\/span><\/p>\n<p><span style=\"font-size: 14px;\"><\/span><\/p>\n<div dir=\"auto\"><\/div>\n<ul>\n<li dir=\"auto\">A single 6 x 2.5 ft. table.<\/li>\n<li dir=\"auto\">Extension power cable\/multi-point (the organizers would highly appreciate if suitable power adapters are brought by the participants. India uses a 220V\/5A power supply with Indian power sockets though in some cases the power sockets might allow for US-style power plugs)<\/li>\n<li dir=\"auto\">A single easel for displaying any related poster that must be of size 4x3ft landscape mode.<\/li>\n<li dir=\"auto\">Dedicated Wi-Fi connection for demo presenters.<\/li>\n<\/ul>\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; admin_label=&#8221;Features&#8221; module_id=&#8221;about&#8221; _builder_version=&#8221;4.23.4&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#dbdbdb&#8221; 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;3.9%||||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; locked=&#8221;off&#8221; collapsed=&#8221;on&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;27px||43px|||&#8221; locked=&#8221;off&#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 disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;7f63b212-a10a-4d30-afa2-e478a747ca88&#8243; custom_margin=&#8221;||10px||false|false&#8221; header_2_font_size_phone=&#8221;33px&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h3><span style=\"color: #000000;\">\u00a0Accepted Demo Track Paper<\/span><\/h3>\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; _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;1.\tAI-Driven Elephant Detection and Alert Systems for Human-Wildlife Conflict Mitigation&#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>Authors:<\/strong> <span>Sinchana R L, Shruthi D V<\/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; _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;2.\tAI-Driven Data Governance: A Framework for Real-Time Observability, Data Quality, and Compliance&#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>Authors:<\/strong> <span>Razak Abdul<\/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; _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;3.\tBizEye: Broad-spectrum Intelligent Zone Eye for Abnormality Detection&#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>Authors:<\/strong> <span>Anupam Borthakur, Manoj Kumar Sharma, Debanjan Chattopadhyay, Kumar P Saha<\/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; _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;\t4.\tMachine Learning-Enhanced EKF for Vehicle Localization under Sparse Observations&#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>Authors:<\/strong> <span>Adam Nabeel, Majeed Mohamed, Gopinath Selvaraj, Pappa M<\/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; _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;5.\tTa Ka Di Mi: AI for Konnakkol and Rhythm Training&#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>Authors:<\/strong> <span>Skanda Anantha Murthy,\u00a0Mohith Velivela\u00a0, and\u00a0Balaji N K<\/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; _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;6.\tDermatica: A Mobile Solution for Preliminary Skin Disease Diagnosis&#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>Authors:<\/strong> <span>Sangavi V, Abishake S, Dhayal S R<\/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; _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;7.\tGenSenSim: Generative Sensor Response Simulator&#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>Authors:<\/strong> <span>Anish Datta, Soma Bandyopadhyay, Subhasri Chatterjee, Tapas Chakravarty, Arpan Pal<\/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; _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;8.\t PolicyBot: An Interactive Demo for Reliable Question Answering over Policy Documents&#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>Authors:<\/strong> <span>Gautam Nagarajan, Sudarsun Santhiappan, Omir Kumar<\/span><\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;27px||43px|||&#8221; locked=&#8221;off&#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 disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;7f63b212-a10a-4d30-afa2-e478a747ca88&#8243; custom_margin=&#8221;||10px||false|false&#8221; header_2_font_size_phone=&#8221;33px&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h3><span style=\"color: #000000;\">\u00a0Showcase From Sponsors<\/span><\/h3>\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; _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;1. Troubleshooting chatbot, Lavanya Tekumalla from Amazon &#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_accordion_item][\/et_pb_accordion][et_pb_image src=&#8221;https:\/\/www.aimlsystems.org\/2025\/wp-content\/uploads\/2025\/08\/Screenshot-2025-08-29-at-09.23.54.png&#8221; title_text=&#8221;Screenshot 2025-08-29 at 09.23.54&#8243; url=&#8221;https:\/\/www.amazon.in\/&#8221; url_new_window=&#8221;on&#8221; align=&#8221;center&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; width=&#8221;250px&#8221; width_last_edited=&#8221;off|phone&#8221; max_width=&#8221;500px&#8221; custom_padding=&#8221;8px|0px|8px||true|false&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;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; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;2. The Future of Computing: A TCS Research Perspective&#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><b><\/b><\/div>\n<div id=\"m_-699871729379290909m_-2118415044389883014abstract\"><b>Abstract:\u00a0\u00a0<\/b>Enterprise computing workloads are expanding rapidly, driven not only by AI\/ML but also by demanding applications in science, engineering, and finance. GenAI workloads, in particular, must be carefully engineered to meet stringent requirements for accuracy, latency, and throughput on classical computing platforms. With a growing ecosystem of heterogeneous hardware, it is critical to deploy workloads intelligently to optimize performance and control costs.<\/div>\n<div>At\u00a0<span>TCS<\/span>\u00a0Research, we explore emerging computing paradigms\u2014many of which are poised to become mainstream within the next few years\u2014that offer significant efficiency gains for specialized tasks. We also investigate hybrid approaches that combine classical and quantum algorithms to tackle problems considered intractable. Our booth showcases\u00a0this vision for the future of computing and highlights innovations that will shape the next generation of enterprise systems.<\/div>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_image src=&#8221;https:\/\/www.aimlsystems.org\/2025\/wp-content\/uploads\/2025\/08\/tcs-logo.jpg&#8221; title_text=&#8221;Screenshot 2025-08-29 at 09.23.54&#8243; url=&#8221;https:\/\/www.amazon.in\/&#8221; url_new_window=&#8221;on&#8221; align=&#8221;center&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; width=&#8221;250px&#8221; width_last_edited=&#8221;off|phone&#8221; max_width=&#8221;500px&#8221; custom_padding=&#8221;8px|0px|8px||true|false&#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; fullwidth=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Demo &amp; Exhibits<\/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. 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. (And gettin' caught in the rain.)<\/p>\n<!-- \/wp:paragraph --><\/blockquote>\n<!-- \/wp:quote -->\n\n<!-- wp:paragraph -->\n<p>...or something like this:<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:quote -->\n<blockquote class=\"wp-block-quote\"><!-- wp:paragraph -->\n<p>The XYZ Doohickey Company was founded in 1971, and has been providing quality doohickeys to the public ever since. Located in Gotham City, XYZ employs over 2,000 people and does all kinds of awesome things for the Gotham community.<\/p>\n<!-- \/wp:paragraph --><\/blockquote>\n<!-- \/wp:quote -->\n\n<!-- wp:paragraph -->\n<p>As a new WordPress user, you should go to <a href=\"https:\/\/www.aimlsystems.org\/2023\/wp-admin\/\">your dashboard<\/a> to delete this page and create new pages for your content. Have fun!<\/p>\n<!-- \/wp:paragraph -->","_et_gb_content_width":"","footnotes":""},"class_list":["post-278","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.aimlsystems.org\/2026\/wp-json\/wp\/v2\/pages\/278","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.aimlsystems.org\/2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.aimlsystems.org\/2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.aimlsystems.org\/2026\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aimlsystems.org\/2026\/wp-json\/wp\/v2\/comments?post=278"}],"version-history":[{"count":76,"href":"https:\/\/www.aimlsystems.org\/2026\/wp-json\/wp\/v2\/pages\/278\/revisions"}],"predecessor-version":[{"id":7506,"href":"https:\/\/www.aimlsystems.org\/2026\/wp-json\/wp\/v2\/pages\/278\/revisions\/7506"}],"wp:attachment":[{"href":"https:\/\/www.aimlsystems.org\/2026\/wp-json\/wp\/v2\/media?parent=278"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}