{"id":1353,"date":"2023-09-11T07:00:34","date_gmt":"2023-09-11T01:30:34","guid":{"rendered":"https:\/\/www.aimlsystems.org\/2023\/?page_id=1353"},"modified":"2023-10-28T07:42:30","modified_gmt":"2023-10-28T02:12:30","slug":"schedule","status":"publish","type":"page","link":"https:\/\/www.aimlsystems.org\/2023\/schedule\/","title":{"rendered":"Schedule"},"content":{"rendered":"

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Schedule<\/span><\/h1>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|phone” _builder_version=”4.20.2″ _module_preset=”default” background_enable_pattern_style=”on” background_pattern_style=”zig-zag-2″ background_pattern_color=”rgba(0,0,0,0.02)” custom_margin=”||-1px|||” custom_padding=”26px|||||” custom_padding_tablet=”” custom_padding_phone=”20px||||false|false” global_colors_info=”{}”][et_pb_row disabled_on=”off|off|off” _builder_version=”4.21.0″ _module_preset=”default” width=”90%” max_width=”90%” custom_padding=”0px|||||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.20.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_tabs active_tab_background_color=”#0C71C3″ active_tab_text_color=”#FFFFFF” disabled_on=”on|on|off” module_id=”d” _builder_version=”4.21.0″ _module_preset=”default” tab_font_size=”18px” custom_css_tab=”width:25%;||text-align:center;” global_colors_info=”{}”][et_pb_tab title=”25 Oct 2023″ _builder_version=”4.21.0″ _module_preset=”default” body_text_align=”center” display_conditions=”W10=” global_colors_info=”{}”]<\/p>\n[et_pb_section global_module=\"2906\"][\/et_pb_section]\n

[\/et_pb_tab][et_pb_tab title=”26 Oct 2023″ _builder_version=”4.21.0″ _module_preset=”default” body_text_align=”center” global_colors_info=”{}”]<\/p>\n[et_pb_section global_module=\"2914\"][\/et_pb_section]\n

[\/et_pb_tab][et_pb_tab title=”27 Oct 2023″ _builder_version=”4.21.0″ _module_preset=”default” body_text_align=”center” global_colors_info=”{}”]<\/p>\n[et_pb_section global_module=\"2915\"][\/et_pb_section]\n

[\/et_pb_tab][et_pb_tab title=”28 Oct 2023″ _builder_version=”4.21.0″ _module_preset=”default” body_text_align=”center” global_colors_info=”{}”]<\/p>\n[et_pb_section global_module=\"2917\"][\/et_pb_section]\n

[\/et_pb_tab][\/et_pb_tabs][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_accordion toggle_icon=”||divi||400″ icon_color=”#0C71C3″ disabled_on=”off|off|on” module_id=”open-close-accordion” _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_accordion_item title=”25 Oct 2023″ open_toggle_text_color=”#000000″ icon_color=”#0C71C3″ use_icon_font_size=”on” icon_font_size=”18px” open_icon_color=”#0C71C3″ open_use_icon_font_size=”on” open_icon_font_size=”18px” _builder_version=”4.21.0″ _module_preset=”default” custom_padding=”|0px||0px|false|true” custom_css_toggle_title=”padding-left:15px;” custom_css_toggle_icon=”padding-right:15px;” custom_css_toggle_content=”padding:0px;” global_colors_info=”{}” toggle_text_color=”#000000″ toggle_font=”|700|||||||” toggle_font_size=”17px” custom_css_toggle_title_last_edited=”off|desktop” open=”on”]<\/p>\n[et_pb_section global_module=\"3104\"][\/et_pb_section]\n

[\/et_pb_accordion_item][et_pb_accordion_item title=”26 Oct 2023″ open=”off” open_toggle_text_color=”#000000″ icon_color=”#0C71C3″ use_icon_font_size=”on” icon_font_size=”18px” open_icon_color=”#0C71C3″ open_use_icon_font_size=”on” open_icon_font_size=”18px” _builder_version=”4.21.0″ _module_preset=”default” custom_padding=”|0px||0px|false|true” custom_css_toggle_title=”padding-left:15px;” custom_css_toggle_icon=”padding-right:15px;” custom_css_toggle_content=”padding:0px;” global_colors_info=”{}” toggle_text_color=”#000000″ toggle_font=”|700|||||||” toggle_font_size=”17px” custom_css_toggle_title_last_edited=”off|desktop”]<\/p>\n[et_pb_section global_module=\"3152\"][\/et_pb_section]\n

[\/et_pb_accordion_item][et_pb_accordion_item title=”27 Oct 2023″ open_toggle_text_color=”#000000″ icon_color=”#0C71C3″ use_icon_font_size=”on” icon_font_size=”18px” open_icon_color=”#0C71C3″ open_use_icon_font_size=”on” open_icon_font_size=”18px” _builder_version=”4.21.0″ _module_preset=”default” custom_padding=”|0px||0px|false|true” custom_css_toggle_title=”padding-left:15px;” custom_css_toggle_icon=”padding-right:15px;” custom_css_toggle_content=”padding:0px;” global_colors_info=”{}” toggle_text_color=”#000000″ toggle_font=”|700|||||||” toggle_font_size=”17px” custom_css_toggle_title_last_edited=”off|desktop” open=”off”]<\/p>\n[et_pb_section global_module=\"3174\"][\/et_pb_section]\n

[\/et_pb_accordion_item][et_pb_accordion_item title=”28 Oct 2023″ open_toggle_text_color=”#000000″ icon_color=”#0C71C3″ use_icon_font_size=”on” icon_font_size=”18px” open_icon_color=”#0C71C3″ open_use_icon_font_size=”on” open_icon_font_size=”18px” _builder_version=”4.21.0″ _module_preset=”default” custom_padding=”|0px||0px|false|true” custom_css_toggle_title=”padding-left:15px;” custom_css_toggle_icon=”padding-right:15px;” custom_css_toggle_content=”padding:0px;” global_colors_info=”{}” toggle_text_color=”#000000″ toggle_font=”|700|||||||” toggle_font_size=”17px” custom_css_toggle_title_last_edited=”off|desktop” open=”off”]<\/p>\n[et_pb_section global_module=\"3180\"][\/et_pb_section]\n

[\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ disabled_on=”off|off|off” module_id=”industry” _builder_version=”4.21.0″ _module_preset=”default” background_color=”#f7f7f7″ background_pattern_horizontal_offset=”-96%” background_pattern_vertical_offset=”-94%” min_height=”816.8px” custom_margin=”||-43px|||” custom_padding=”6px||4px|||” global_colors_info=”{}”][et_pb_row use_custom_gutter=”on” gutter_width=”1″ disabled_on=”off|off|off” _builder_version=”4.21.0″ _module_preset=”default” width_tablet=”” width_phone=”100%” width_last_edited=”on|phone” max_width=”90%” custom_padding=”0px||0px|||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.20.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Industry Track – 25 Oct 2023<\/strong><\/a><\/h2>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.20.2″ _module_preset=”default” width=”95%” max_width=”80%” max_width_tablet=”80%” max_width_phone=”95%” max_width_last_edited=”on|phone” module_alignment=”center” custom_padding=”4px||2px|||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.20.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.21.0″ _module_preset=”default” text_font=”Arial||||||||” text_text_color=”#4f4f4f” text_font_size=”13px” text_line_height=”1.3em” text_orientation=”center” min_height=”612.9px” custom_padding=”||54px|||” link_option_url_new_window=”on” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n

Session<\/span><\/b><\/p>\n<\/td>\n

\n

Theme<\/span><\/b><\/p>\n<\/td>\n

\n

Time<\/span><\/b><\/p>\n<\/td>\n

\n

Title<\/span><\/b><\/p>\n<\/td>\n

\n

Author\/Speaker<\/span><\/b><\/p>\n<\/td>\n<\/tr>\n

\n

1130-1300
<\/span><\/b><\/p>\n

Session Chair: Rahul Ghosh
<\/span><\/b><\/p>\n

\u00a0<\/strong><\/p>\n<\/td>\n

\n

Theme 1:<\/span><\/p>\n

Planning and Recommendation<\/span><\/p>\n<\/td>\n

\n

1130-1145<\/span><\/p>\n<\/td>\n

\n

[Paper # 5] CONRAD: Cognitive Intent Driven 5G Network Slice Planning and Design
<\/span><\/p>\n<\/td>\n

\u00a0Ajay Kattepur (Ericsson)*; Swarup Kumar Mohalik (Ericsson); Ian Burdick (Ericsson); Marin Orlic (Ericsson); Leonid Mokrushin (Ericsson)<\/span><\/td>\n<\/tr>\n
\n

1145-1200<\/span><\/p>\n<\/td>\n

\n

[Paper # 35] Uncovering Critical Products in Retail Baskets: A Predictive Modelling Approach to Increase Order Fulfilment
<\/span><\/p>\n<\/td>\n

Preeti Gopal (Walmart Global Tech)*; Sivaram Prasad Mudunuri (Walmart Global Tech); Sumit Dutta (Walmart); Kamiya Motwani (Walmart)\u00a0<\/span><\/td>\n<\/tr>\n
\n

Theme 2:<\/span><\/p>\n

Reinforcement Learning and Bandits<\/span><\/p>\n<\/td>\n

\n

1200-1215<\/span><\/p>\n<\/td>\n

\n

[Paper # 46] Maximizing Success Rate of Payment Routing using Non-stationary Bandits<\/span><\/p>\n<\/td>\n

\u00a0Aayush Chaudhary (Dream11)*; Abhinav Rai (Dream11); Abhishek Gupta (The Ohio State University)<\/span><\/td>\n<\/tr>\n
\n

1215-1230<\/span><\/p>\n<\/td>\n

\n

[Paper # 47]\u00a0 \u00a0 \u00a0 \u00a0t-RELOAD: A REinforcement Learning-based Recommendation for Outcome-driven Application\u00a0<\/span><\/p>\n<\/td>\n

Debanjan Sadhukhan (Games24x7 Pvt Ltd)*; Sachin Kumar (Games 24×7 Pvt Ltd); Swarit Sankule (Games 24×7 Pvt Ltd); Tridib Mukherjee (Games24x7)<\/span><\/td>\n<\/tr>\n
\n

\u00a0<\/span><\/b><\/p>\n<\/td>\n

\n

Theme 3: Invited Talk: AI in Retail
<\/span><\/p>\n<\/td>\n

\n

1230-1300<\/span><\/p>\n<\/td>\n

\n

Dr. Avinash Jade,\u00a0 Walmart Global Tech
<\/span><\/p>\n<\/td>\n

Artificial Intelligence for Retail at Scale<\/span><\/td>\n<\/tr>\n
\n

Break (1300-1400)<\/span><\/b><\/p>\n<\/td>\n<\/tr>\n

\n

1400-1630<\/span><\/b><\/p>\n

Session Chair: Milind Gandhe
<\/span><\/b><\/p>\n

\u00a0<\/span><\/b><\/p>\n<\/td>\n

\n

Theme 4:
<\/span>AI in Predictive Maintenance<\/span><\/p>\n<\/td>\n

\n

1400-1415<\/span><\/p>\n<\/td>\n

\n

[Paper # 49] Physics Guided Generative Learning for Domain Adaptable Data Synthesis: Progressive Fault Synthesization for Predictive Machine Maintenance
<\/span><\/p>\n<\/td>\n

\n

Soma Bandyopadhyay (Tata Consultancy Services)*; Anish Datta (TCS); Mudassir Ali Sayyed (Fraunhofer Enas); Tapas Chakravarty (TATA Consultancy Services Limited); Arpan Pal (Tata Consultancy Services); Chirabrata Bhaumik (TCS)
<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

1415-1430<\/span><\/p>\n<\/td>\n

\n

[Paper # 55] SToRM: Smart ticket resolution steps recommendation in facilities management
<\/span><\/p>\n<\/td>\n

\n

Rishav Gupta (Walmart)*; Abhijeet Pandey (Walmart); Abhishek Mishra (Walmart)
<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Theme 5: Invited Talk: AI in Gaming<\/span><\/p>\n<\/td>\n

\n

1430-1500<\/span><\/p>\n<\/td>\n

\n

Dr. Tridib Mukherjee, Games24x7 Private Limited
<\/span><\/p>\n<\/td>\n

\n

Demystifying AI and ML for Online Gaming
<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/span><\/p>\n

Theme 6:NLP Systems<\/span><\/p>\n<\/td>\n

\n

1500-1515<\/span><\/p>\n<\/td>\n

\n

[Paper # 75] Adapting Open-Source LLMs for Contract Drafting and Analyzing Multi-Role vs. Single-Role Behavior of ChatGPT for Synthetic Data Generation
<\/span><\/p>\n<\/td>\n

\n

Jaykumar Kasundra (Thomson Reuters)*; Shreyans Dhankhar (Thomson Reuters)
<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

1515-1530<\/span><\/p>\n<\/td>\n

\n

[Paper # 84] Noisy Text Data: foible of popular Transformer based NLP models
<\/span><\/p>\n<\/td>\n

\n

Kartikay Bagla (Chaos Genius); Shivam Gupta (Ninja Salary); Ankit Kumar (Clearfeed)*; Anuj Gupta (Clearfeed)
<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Theme 7: Invited Talk:Enterprise AI
<\/span><\/p>\n<\/td>\n

\n

1530-1600<\/span><\/p>\n<\/td>\n

\n

Enterprise AI solutions – Guidelines and Guardrails
<\/span><\/p>\n<\/td>\n

\n

Surya Prabha Vadlamani, Centific
<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\n<\/div>\n

 <\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ disabled_on=”off|off|off” module_id=”indiaai” _builder_version=”4.21.0″ _module_preset=”default” background_color=”#f7f7f7″ background_pattern_horizontal_offset=”-96%” background_pattern_vertical_offset=”-94%” custom_margin=”-39px|||||” custom_padding=”0px|||||” global_colors_info=”{}”][et_pb_row use_custom_gutter=”on” gutter_width=”1″ disabled_on=”off|off|off” _builder_version=”4.20.2″ _module_preset=”default” width_tablet=”” width_phone=”100%” width_last_edited=”on|phone” max_width=”90%” custom_padding=”0px||0px|||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.20.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

AI India Track – 25 Oct 2023<\/strong><\/h2>\n

Note: Includes presentation of accepted papers from top AI ML conferences.<\/strong><\/p>\n

<\/strong><\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.20.2″ _module_preset=”default” width=”95%” max_width=”80%” max_width_tablet=”80%” max_width_phone=”95%” max_width_last_edited=”on|phone” module_alignment=”center” custom_padding=”4px||2px|||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.20.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.21.0″ _module_preset=”default” text_font=”Arial||||||||” text_text_color=”#4f4f4f” text_font_size=”13px” text_line_height=”1.3em” background_enable_color=”off” text_orientation=”center” custom_padding=”||0px|||” link_option_url_new_window=”on” global_colors_info=”{}”]<\/p>\n

\n

 <\/p>\n\n\n\n\n<\/colgroup>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Session Time<\/strong><\/td>\nPaper Title<\/strong><\/td>\nAuthor Name<\/strong><\/td>\n<\/tr>\n
17:45 – 17:50<\/td>\nVisToT: Vision-Augmented Table-to-Text Generation<\/td>\nPrajwal Gatti, Anand Mishra, Manish Gupta, Mithun Das Gupta<\/td>\n<\/tr>\n
17:51 – 17:56<\/td>\nFew-Shot Referring Relationships in Videos<\/td>\nYogesh Kumar, Anand Mishra<\/td>\n<\/tr>\n
17:57 – 18:02<\/td>\nAnswer Mining from a Pool of Images: Towards Retrieval-Based Visual Question Answering<\/td>\nAbhirama Subramanyam Penamakuri, Manish Gupta, Mithun Das Gupta, Anand Mishra<\/td>\n<\/tr>\n
18:03 – 18:08<\/td>\nDMIX: Adaptive Distance-aware Interpolative Mixup<\/td>\nRamit Sawhney, Megh Thakkar, Shrey Pandit, Ritesh Soun, Di JinF, Diyi Yang, Lucie Flek<\/td>\n<\/tr>\n
18:09 – 18:14<\/td>\nA-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis<\/td>\nAishwarya Agarwal, Srikrishna Karanam, K J Joseph, Apoorv Saxena, Koustava Goswami and Balaji Vasan Srinivasan<\/td>\n<\/tr>\n
18:15 – 18:20<\/td>\nEvaluating Cross-modal Generative Models Using Retrieval Task<\/td>\nShivangi Bithel, and Srikanta Bedathur<\/td>\n<\/tr>\n
18:21 – 18:26<\/td>\nQ&A<\/td>\n<\/td>\n<\/tr>\n
18:27- 18:32<\/td>\nTask and model agnostic adversarial attack on graph neural networks<\/td>\nKartik Sharma, Samidha Verma, Sourav Medya, Arnab Bhattacharya, Sayan Ranu<\/td>\n<\/tr>\n
18:33 – 18:38<\/td>\nFlash: Concept Drift Adaptation in Federated Learning<\/td>\nKunjal Panchal, Sunav Choudhary , Subrata Mitra, Koyel Mukherjee, Somdeb Sarkhel , Saayan Mitra, Hui Guan<\/td>\n<\/tr>\n
18:39 – 18:44<\/td>\nCausIL: Causal Graph for Instance Level Microservice Data<\/td>\nSarthak Chakraborty , Shaddy Garg, Shubham Agarwal, Ayush Chauhan, Shiv Kumar Saini<\/td>\n<\/tr>\n
18:45 – 18:50<\/td>\nFairness for both Readers and Authors: Evaluating Summaries of User Generated Content<\/td>\nGarima Chhikara, Kripabandhu Ghosh, Saptarshi Ghosh, Abhijnan Chakraborty<\/td>\n<\/tr>\n
18:51 – 18:56<\/td>\nAugmented Memory Replay-based Continual Learning Approaches for Network Intrusion Detection<\/td>\nSuresh kumar Amalapuram, Sumohana S Channappayya, Bheemarjuna Reddy Tamma<\/td>\n<\/tr>\n
18:57 – 19:02<\/td>\nU-CREAT: Unsupervised Case Retrieval using Events extrAcTion<\/td>\nAbhinav Joshi, Akshat Sharma, Sai Kiran Tanikella, Ashutosh Modi<\/td>\n<\/tr>\n
19:03 – 19:08<\/td>\nCrysGNN: Distilling Pre-trained Knowledge to Enhance Property Prediction for Crystalline Materials<\/td>\nKishalay Das, Bidisha Samanta, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly<\/td>\n<\/tr>\n
19:09 – 19:15<\/td>\nQ&A<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n<\/div>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ disabled_on=”off|off|off” module_id=”demo” _builder_version=”4.21.0″ _module_preset=”default” background_color=”#f7f7f7″ background_pattern_horizontal_offset=”-96%” background_pattern_vertical_offset=”-94%” custom_margin=”0px||||false|false” custom_padding=”0px||42px||false|false” global_colors_info=”{}”][et_pb_row use_custom_gutter=”on” gutter_width=”1″ disabled_on=”off|off|off” _builder_version=”4.20.2″ _module_preset=”default” width_tablet=”” width_phone=”100%” width_last_edited=”on|phone” max_width=”90%” custom_padding=”0px||0px|||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.20.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Demos & Exhibits: 25-26 Oct 2023<\/strong><\/h2>\n

Layout of the Demo hall<\/strong><\/p>\n

<\/strong><\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.20.2″ _module_preset=”default” width=”95%” max_width=”80%” max_width_tablet=”80%” max_width_phone=”95%” max_width_last_edited=”on|phone” module_alignment=”center” custom_padding=”4px||2px|||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.20.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.aimlsystems.org\/2023\/wp-content\/uploads\/2023\/10\/Demos-small.png” title_text=”Demos-small” _builder_version=”4.21.0″ _module_preset=”default” custom_padding=”||20px||false|false” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ module_id=”research” _builder_version=”4.21.0″ _module_preset=”default” background_color=”#f7f7f7″ background_pattern_horizontal_offset=”-96%” background_pattern_vertical_offset=”-94%” custom_padding=”40px||87px||false|false” global_colors_info=”{}”][et_pb_row use_custom_gutter=”on” gutter_width=”1″ disabled_on=”off|off|off” _builder_version=”4.20.2″ _module_preset=”default” width_tablet=”” width_phone=”100%” width_last_edited=”on|phone” max_width=”90%” custom_padding=”0px||0px|||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.20.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Research Paper Session<\/a> 26 – 27 Oct 2023<\/strong><\/h2>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.20.2″ _module_preset=”default” width=”95%” max_width=”80%” max_width_tablet=”80%” max_width_phone=”95%” max_width_last_edited=”on|phone” module_alignment=”center” custom_margin=”|auto|-49px|auto||” custom_padding=”4px||2px|||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.20.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.21.0″ _module_preset=”default” text_font=”Arial||||||||” text_text_color=”#4f4f4f” text_font_size=”13px” text_line_height=”1.3em” text_orientation=”center” custom_padding=”||0px|||” link_option_url_new_window=”on” global_colors_info=”{}”]<\/p>\n

\n

 <\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n

Session<\/span><\/b><\/p>\n<\/td>\n

\n

Time<\/span><\/b><\/p>\n<\/td>\n

\n

Title<\/span><\/b><\/p>\n<\/td>\n

\n

Author\/Speaker<\/span><\/b><\/p>\n<\/td>\n<\/tr>\n

\n

26th Oct 2023 <\/span>Session-1 [1130-1320]<\/span><\/strong><\/h3>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/span><\/span><\/b><\/p>\n

\u00a0<\/span><\/span><\/b><\/p>\n

AI Systems and Applications:<\/span><\/span><\/b><\/p>\n

 <\/p>\n

\u00a0<\/span><\/span><\/b><\/p>\n

\u00a0<\/span><\/span><\/b><\/p>\n<\/td>\n

\n

1130-1140<\/span><\/span><\/p>\n<\/td>\n

\n

[Paper 11] Design-Space Exploration of Systolic Array for Edge Inferencing Applications <\/span><\/span><\/span><\/p>\n<\/td>\n

\n

Prashanth H C (International Institute of Information Technology Bangalore); Yash Dharmesh Mogal (International Institute of Information Technology Bangalore); Madhav Rao (International Institute of Information Technology, Bangalore)<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

1141-1150<\/span><\/span><\/p>\n<\/td>\n

\n

[Paper 18] Managed Bidirectional Charging of Electric Fleets with Arbitrage <\/span><\/span><\/p>\n<\/td>\n

\n

Kshitij Garg (TCS Research); Prasant Misra (TCS Research); Yogesh Bichpuriya (Industry Researcher); Arunchandar Vasan (TCS Research)<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

1151-1200<\/span><\/span><\/p>\n<\/td>\n

\n

[Paper 85] Hetero-Rec++: Modelling-based Robust and Optimal Deployment of Embeddings Recommendations <\/span><\/span><\/span><\/p>\n<\/td>\n

\n

Ashwin Krishnan (TCS Research)*; Manoj Nambiar (TCS); Rekha Singhal (TCS)\u00a0<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

1201-1210<\/span><\/span><\/p>\n<\/td>\n

\n

[Paper 19] Soil Moisture Prediction Using Deep Learning on Hyperspectral Data<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

Sourav Seal (Delhi Technological University)*; Divyashikha Sethia (Delhi Technological University)
<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

1211-1220<\/span><\/span><\/p>\n<\/td>\n

\n

[Paper 27] Predicting Depth of Anesthesia using EEG Signals and Deep Convolution Network\u00a0<\/span><\/span><\/p>\n<\/td>\n

\n

Neeraj Kumar Sharma (Ram Lal Anand College, University of Delhi)*; Sakeena Shahid (Sri Guru Tegh Bahadur Khalsa College, University of Delhi); Subodh Kumar (Department of Computer Science, University of Delhi); Sanjeev Sharma (Department of Anesthesia, A.B.V.I.M.S & R.M.L Hospital); Rakesh Kumar Gupta (Ram Lal Anand College, University of Delhi); Naveen Kumar (University of Delhi)
<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

1221-1230<\/span><\/span><\/p>\n<\/td>\n

\n

[Paper 78] MobileASR: A resource-aware on-device learning framework for user voice personalization applications on mobile phones <\/span><\/span><\/p>\n<\/td>\n

\n

Zitha Sasindran (Indian Institute of Science)*; Harsha Yelchuri (Information Science Engineering RV College of Engineering Bengaluru, India); Prabhakar Venkata Tamma (Electronics Systems Engg); Pooja Rao (IISc)<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

1231-1240<\/span><\/span><\/p>\n<\/td>\n

\n

[Paper 61] Leveraging Uncertainty for Credit Risk Estimation and Reliable Predictions in lending decision making <\/span><\/span><\/p>\n<\/td>\n

\n

Akash Mondal (American Express)*; Saradindu Kar (American Express); Akash Mondal (American Express)
<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/span><\/b><\/p>\n

Machine Learning and IoT:
<\/span><\/b><\/p>\n

\u00a0<\/span><\/b><\/p>\n

\n<\/td>\n

\n

1241-1250<\/span><\/span><\/p>\n<\/td>\n

\n

[Paper 30] SecureFrameNet: A rich computing capable secure framework for deploying neural network models on edge protected system.<\/span><\/p>\n<\/td>\n

\n

Renju C Nair (International Institute of information Technology, Bangalore)*; Madhav Rao (International Institute of information Technology, Bangalore); Muralidhara V N (IIIT Bangalore)<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n

1251-1300<\/span><\/span><\/td>\n\n

[Paper 17] TinyML-Driven On-Device Personalized Human Activity Recognition and Auto-Deployment to Smart Bands<\/span><\/span><\/p>\n<\/td>\n

\n

Bidyut Saha (Indian Institute of Technology Kharagpur)*; Riya Samanta (Indian Institute of Technology Kharagpur); Soumya Kanti Ghosh (Indian Institute of Technology Kharagpur, India); Ram Babu Roy (Indian Institute of Technology Kharagpur)
<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n

1301-1310<\/span><\/span><\/td>\n\n

[Paper 76] Binary Convolutional Neural Network for Efficient Gesture Recognition at Edge<\/span><\/p>\n<\/td>\n

\n

Jayeeta Mondal (TCS Research); Swarnava Dey (TCS Research, Tata Consultancy Services Ltd.); Arijit Mukherjee (TCS Research)
<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

1311-1320<\/span><\/span><\/p>\n<\/td>\n

\n

[Paper 77]. Designing a Bare Minimum Face Recognition Architecture for Bare Metal Edge Devices: An Experience Report
<\/span><\/p>\n<\/td>\n

\n

Swarnava Dey (TCS Research, Tata Consultancy Services Ltd.)
<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

26 Oct 2023 <\/span><\/b>Session-2 [1430-1600]<\/span><\/b><\/p>\n<\/td>\n<\/tr>\n

\n

Poster Presentation of Session-1 papers
<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

27 Oct 2023 <\/span><\/b>Session-3 [1130-1320]<\/span><\/b><\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/span><\/p>\n

Natural Language Processing:<\/b><\/span><\/p>\n

 <\/p>\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

1131-1140<\/span><\/p>\n<\/td>\n

\n

[Paper 8]. LiBERTy: A Novel Model for Natural Language Understanding <\/span><\/p>\n<\/td>\n

\n

Onkar Susladkar (IIT Roorkee); Gayatri S Deshmukh (Vishwakarma Institute of Information Technology); Sparsh Mittal (IIT Roorkee); Sai Chandra Teja R (Independent Researcher); Rekha Singhal (TCS)<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

1141-1150<\/span><\/p>\n<\/td>\n

\n

[Paper 32] Unveiling User Influence: An Adaptive Algorithm for Socialness Estimation through User-Reply Semantics<\/span><\/p>\n<\/td>\n

\n

Vikram Singh (Computer Engineering Dept.,National Institute of Technology, Kurukshetra); Devanand Gamboir (Computer Engineering Dept.,National Institute of Technology, Kurukshetra)<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

1151-1200<\/span><\/p>\n<\/td>\n

\n

[Paper 67]. Improved Sequence Predictions using Knowledge Graph Embedding for Large Language Models<\/span><\/span><\/p>\n<\/td>\n

\n

Rabina Khatun (Dr. B.C.Roy Engineering College); Nilanjan Sinhababu (Indian Institute of Technology Kharagpur)
<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/span><\/p>\n

Vision:<\/b><\/span><\/p>\n

 <\/p>\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

1201-1210<\/span><\/p>\n<\/td>\n

\n

[Paper 25] Investigating the changes in BOLD responses during viewing of images with varied complexity: An fMRI time-series based analysis on human vision<\/span><\/p>\n<\/td>\n

\n

Naveen Kanigiri (International Institute of Information Technology Bangalore); Manohar Suggula (International Institute of Information Technology Bangalore); Debanjali Bhattacharya (International Institute of Information Technology Bangalore)*; Neelam Sinha (International Institute of Information Technology)
<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

1211-1220<\/span><\/p>\n<\/td>\n

\n

[Paper 39] CAMOT: Content Aware Multi-Object Tracking<\/span><\/p>\n<\/td>\n

\n

Ratul Kishore Saha (Tata Consultancy Services)*; Rekha Singhal (TCS); Manoj Nambiar (TCS)
<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

1221-1230<\/span><\/p>\n<\/td>\n

\n

[Paper 53] YOLOv7-DocInstSeg: Efficient Instance Segmentation Framework for Document Analysis and Recognition (Vision)<\/span><\/p>\n<\/td>\n

\n

Vamshi Krishna Kancharla (IIIT Bangalore); Neelam Sinha (IIIT Bangalore)<\/span><\/p>\n

 <\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/span><\/p>\n

\u00a0<\/span><\/p>\n

Machine Learning:<\/b><\/span><\/p>\n

 <\/p>\n

\u00a0<\/span><\/p>\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

1231-1240<\/span><\/p>\n<\/td>\n

\n

[Paper 42] TIFeD: a Tiny Integer-based Federated learning algorithm with Direct feedback alignment <\/span><\/p>\n<\/td>\n

\n

Luca Colombo (Politecnico di Milano); Alessandro Falcetta (Politecnico di Milano); Manuel Roveri (Politecnico di Milano)<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

1241-1250<\/span><\/p>\n<\/td>\n

\n

[Paper 57] Perceptually-Inspired Local Source Normalization for Adversarial Robustness<\/span><\/p>\n<\/td>\n

\n

Archana Ramachandran (Indian Institute of Technology Hyderabad); Sumohana S. Channappayya (IIT Hyderabad)<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

1251-1300<\/span><\/p>\n<\/td>\n

\n

[Paper 65] Exploring Causality Aware Data Synthesis
<\/span><\/p>\n<\/td>\n

\n

Soma Bandyopadhyay (Tata Consultancy Services); Sudeshna Sarkar (IIT Kharagpur)<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

1301-1310<\/span><\/p>\n<\/td>\n

\n

[Paper 70] SplitEE: Early Exit in Deep Neural Networks with Split Computing
<\/span><\/p>\n<\/td>\n

\n

Divya Jyoti Bajpai (Indian Institute of Technology Bombay); Vivek Kumar Trivedi (Indian Institute of Technology Bombay); Sohan L Yadav (Indian Institute of Technology, Bombay); Manjesh Kumar Hanawal (IIT Bombay)<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

1311-1320<\/span><\/p>\n<\/td>\n

\n

[Paper 81] Model Uncertainty based Active Learning on Tabular Data using Boosted Trees (AI Application\/ML)
<\/span><\/p>\n<\/td>\n

\n

Sharath M Shankaranarayana (Ericsson)
<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

27 Oct 2023 <\/span><\/b>Session-4 [1430-1600]<\/span><\/b><\/p>\n<\/td>\n<\/tr>\n

Poster Presentation of Session-3 papers<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ disabled_on=”off|off|off” module_id=”panel” _builder_version=”4.21.0″ _module_preset=”default” background_color=”#f7f7f7″ background_pattern_horizontal_offset=”-96%” background_pattern_vertical_offset=”-94%” custom_margin=”||||false|false” custom_padding=”40px||40px||false|false” global_colors_info=”{}”][et_pb_row column_structure=”2_5,3_5″ use_custom_gutter=”on” gutter_width=”1″ disabled_on=”off|off|off” _builder_version=”4.20.2″ _module_preset=”default” width_tablet=”” width_phone=”100%” width_last_edited=”on|phone” max_width=”90%” min_height=”57px” custom_margin=”-18px|auto||auto||” custom_padding=”0px||0px|||” global_colors_info=”{}”][et_pb_column type=”2_5″ _builder_version=”4.20.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Panels: 25-27 Oct 2023<\/strong><\/h1>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”3_5″ _builder_version=”4.20.2″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.20.2″ _module_preset=”default” width=”95%” max_width=”80%” max_width_tablet=”80%” max_width_phone=”95%” max_width_last_edited=”on|phone” module_alignment=”center” custom_padding=”4px||2px|||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.20.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.21.0″ _module_preset=”default” text_font=”Arial||||||||” text_text_color=”#4f4f4f” text_font_size=”13px” text_line_height=”1.3em” text_orientation=”center” custom_padding=”||0px|||” link_option_url_new_window=”on” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

\n

 <\/p>\n\n\n\n\n\n\n\n\n
Date-Time<\/strong><\/td>\nPanel Topic<\/strong><\/td>\nModerator<\/strong><\/td>\nPanelist<\/strong><\/td>\n<\/tr>\n
25th Oct, 4:30 pm<\/strong><\/td>\nPanel 1: Generative AI<\/strong><\/td>\nDebdoot Mukherjee, Meesho<\/td>\n\n

Srujana Merugu, Amazon<\/p>\n

Johnu George, Nutanix<\/p>\n

Nirant Kasliwal, Qdrant<\/p>\n

Danish Pruthi, IISc Bangalore<\/p>\n<\/td>\n<\/tr>\n

<\/td>\n<\/td>\n<\/tr>\n
26th Oct, 5:30 pm
<\/strong><\/td>\n		Panel 2: AI for Environment and Sustainability<\/strong><\/td>\nAshish Gupta, Walmart Global Tech<\/td>\n\n

Abhishek Gupta, Ohio State University<\/p>\n

Shailesh Despande, TCS Research<\/p>\n

Umamaheshwari Devi, IBM Research<\/p>\n<\/td>\n<\/tr>\n

<\/td>\n<\/td>\n<\/tr>\n
27th Oct, 4:30 pm
<\/strong><\/td>\n		Panel 3: AI for Healthcare and Biology<\/strong><\/td>\nSupratik Mukhopadhyay, Lousiana State University<\/td>\n\n

Shekar Sivasubramanian, Wadhwani AI<\/p>\n

Debdoot Sheet, IIT Kharagpur<\/p>\n

Debjyoti Gupta, TCG Digital<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n<\/div>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ module_id=”GenAI” _builder_version=”4.21.0″ _module_preset=”default” background_color=”#f7f7f7″ background_pattern_horizontal_offset=”-96%” background_pattern_vertical_offset=”-94%” min_height=”710px” custom_padding=”50px|||||” global_colors_info=”{}”][et_pb_row use_custom_gutter=”on” gutter_width=”1″ disabled_on=”off|off|off” _builder_version=”4.21.0″ _module_preset=”default” width_tablet=”” width_phone=”100%” width_last_edited=”on|phone” max_width=”90%” custom_padding=”0px||0px|||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.20.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Workshop: GenAI<\/a> – 28 October<\/strong><\/h2>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.20.2″ _module_preset=”default” width=”95%” max_width=”80%” max_width_tablet=”80%” max_width_phone=”95%” max_width_last_edited=”on|phone” module_alignment=”center” custom_padding=”4px||2px|||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.20.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.21.0″ _module_preset=”default” text_font=”Arial||||||||” text_text_color=”#4f4f4f” text_font_size=”13px” text_line_height=”1.3em” text_orientation=”center” custom_padding=”||0px|||” link_option_url_new_window=”on” global_colors_info=”{}”]<\/p>\n

\n

 <\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n

Session Time<\/span><\/b><\/p>\n<\/td>\n

\n

Title<\/span><\/b><\/p>\n<\/td>\n

\n

Author\/Speaker<\/span><\/b><\/p>\n<\/td>\n<\/tr>\n

\n

0930-1015
<\/span><\/b><\/i><\/p>\n<\/td>\n

\n

Keynote: My Experiments with Large Language Models\u00a0<\/span><\/span><\/p>\n<\/td>\n

\n

Prof. Mausam, IIT Delhi<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/span><\/span><\/b><\/p>\n

\u00a0<\/span><\/span><\/b><\/p>\n

1015-1130<\/span><\/span><\/b><\/p>\n

 <\/p>\n

\u00a0<\/span><\/span><\/b><\/p>\n

\u00a0<\/span><\/span><\/b><\/p>\n<\/td>\n

\n

Towards reducing hallucination in extracting information from financial reports using Large Language Models<\/span><\/span><\/p>\n<\/td>\n

\n

Bhaskarjit Sarmah (BlackRock)*; Dhagash Mehta (BlackRock, Inc.)<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

ChatGPT for Mental Health Applications: A study on biases<\/span><\/span><\/p>\n<\/td>\n

\n

Ritesh S Soun (Sri Venkateswara College); Aadya Nair (PepsiCo)*<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Building a Llama2-finetuned LLM for Odia Language Utilizing Domain Knowledge Instruction Set<\/span><\/span><\/p>\n<\/td>\n

\n

Guneet S Kohli (Thapar University); shantipriya parida (Silo AI)*; Sambit Sekhar (Odia Generative AI); Samirit _ Saha (Amrita School of Engineering, Bengaluru); Nipun B Nair (Amrita School of Engineering, Bengaluru); Parul Agarwal (nstitute of Mathematics and Applications); Sonal Khosla (Odia Generative AI); Kusum Lata (NIT hamirpur); Debasish Dhal (NISER Bhubaneswar)<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Observations on LLMs for Telecom Domain: Capabilities and Limitations<\/span><\/span><\/p>\n<\/td>\n

\n

Sumit Soman (Ericsson)*; Ranjani H. G. (Ericsson)<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

ScripTONES: Sentiment-Conditioned Music Generation for Movie Scripts<\/span><\/span><\/p>\n<\/td>\n

\n

Vishruth Veerendranath (PES University)*; Vibha Masti (Carnegie Mellon University); Utkarsh Gupta (PES University); Hrishit Chaudhuri (PES University); Gowri Srinivasa (PES University )<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Tea\/Coffee Break (1130-1200)<\/span><\/b><\/p>\n<\/td>\n<\/tr>\n

\n

<\/span><\/b><\/p>\n

 <\/p>\n

1200-1245<\/span><\/span><\/b><\/p>\n

 <\/p>\n

\u00a0<\/span><\/b><\/p>\n

\u00a0<\/span><\/b><\/p>\n<\/td>\n

\n

Are you a Foodie looking for New Cookies to try out? Better not ask an LLM<\/span><\/p>\n<\/td>\n

\n

Binay Gupta (Walmart Global Tech India); Saptarshi Misra (Walmart Global Tech)*; Anirban Chatterjee (Walmart Global Tech); Kunal Banerjee (Walmart Global Tech)<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

CoReGAN: Contrastive Regularized Generative Adversarial Network for Guided Depth Map Super Resolution<\/span><\/p>\n<\/td>\n

\n

Aditya Kasliwal (Manipal Institute of Technology)*; Ishaan Gakhar (Manipal Institute of Technology, Manipal Academy of Higher Education); Aryan Bhavin Kamani (Manipal Institute of Technology)<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Applications of Generative AI in Fintech<\/span><\/p>\n<\/td>\n

\n

kalpesh barde (Salesforce.com)*; Parth Kulkarni (Adobe)<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n

\n


1245-1330<\/span>
<\/span><\/b><\/p>\n<\/td>\n

\n

Keynote: Towards transforming the landscape of Indian language technology<\/span><\/span><\/p>\n<\/td>\n

\n

Prof. Mitesh Khapra, IIT Madras<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Lunch (1330-1430)<\/span><\/b><\/p>\n<\/td>\n<\/tr>\n

\n


1430-1600<\/span>
<\/span><\/b><\/p>\n<\/td>\n

\n

\u00a0Tutorial: Enhancing LLM inferencing with RAG and fine-tuned LLMs<\/span><\/span><\/p>\n<\/td>\n

\n

Abhinav Kimothi, Head of AI, Yarnit<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Tea\/Coffee Break(1600-1630)<\/span><\/b><\/p>\n<\/td>\n<\/tr>\n

\n

1630-1730<\/span><\/b><\/p>\n<\/td>\n

\n

Panel discussion: Responsible Thinking for Generative AI<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ module_id=”SAI4E” _builder_version=”4.21.0″ _module_preset=”default” background_color=”#f7f7f7″ background_pattern_horizontal_offset=”-96%” background_pattern_vertical_offset=”-94%” min_height=”650.8px” custom_margin=”||56px|||” custom_padding=”6px||0px|||” global_colors_info=”{}”][et_pb_row use_custom_gutter=”on” gutter_width=”1″ disabled_on=”off|off|off” _builder_version=”4.21.0″ _module_preset=”default” width_tablet=”” width_phone=”100%” width_last_edited=”on|phone” max_width=”90%” custom_padding=”0px||0px|||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.20.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Workshop: Sustainable AI for Edge \u00a028 October<\/strong><\/a><\/h2>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.20.2″ _module_preset=”default” width=”95%” max_width=”80%” max_width_tablet=”80%” max_width_phone=”95%” max_width_last_edited=”on|phone” module_alignment=”center” custom_margin=”|auto|17px|auto||” custom_padding=”4px||2px|||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.20.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.21.0″ _module_preset=”default” text_font=”Arial||||||||” text_text_color=”#4f4f4f” text_font_size=”13px” text_line_height=”1.3em” text_orientation=”center” custom_margin=”||7px|||” link_option_url_new_window=”on” global_colors_info=”{}”]<\/p>\n

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n

Session Time<\/span><\/b><\/p>\n<\/td>\n

\n

Title<\/span><\/b><\/p>\n<\/td>\n

\n

Author<\/span><\/b><\/p>\n<\/td>\n<\/tr>\n

\n

0900-1015<\/span><\/b><\/p>\n

\n<\/td>\n

\n

TinyML Tutorial<\/span><\/p>\n<\/td>\n

\u00a0Swarnava Dey & Gitesh Kulkarni (TCS Research)<\/span><\/td>\n<\/tr>\n
\n

1015-1100<\/span><\/b><\/p>\n<\/td>\n

\n

Keynote Talk: Importance of AI Explainability for Hight Frequency Data\u00a0<\/span><\/p>\n<\/td>\n

Shyam Prabhakar, Renesas<\/span><\/td>\n<\/tr>\n
\n

1100-1130\u00a0<\/span><\/b><\/p>\n<\/td>\n

\n

Invited Talk: Unlocking the Value of Vehicular Data: A Simple, Unsupervised Approach for On-board Driver Behavior Classification<\/span><\/p>\n<\/td>\n

 Prof. Punit Rathore, IISc Bangalore<\/span><\/td>\n<\/tr>\n
\n

Tea\/Coffee Break (1130-1200)<\/span><\/b><\/p>\n<\/td>\n<\/tr>\n

\n

1230-1330<\/span><\/b><\/p>\n

\n<\/td>\n

\n

Multi-Task Learning for massive MIMO CSI Feedback\u00a0<\/span><\/p>\n<\/td>\n

\n

Sharan Mourya Bathala<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

A Study on Tiny YOLO for Resource Constrained XRay Threat Detection<\/span><\/p>\n<\/td>\n

\n

Raghav Venkata Ambati<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

GPU Implementation: Accelerating 3D-Bin Packing Problem<\/span><\/p>\n<\/td>\n

\n

Krishna Vamsi, Ashwin Krishnan, Manoj Nambiar)<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Binarized-Distance Computation for performing low-power Face Recognition with optimized storage<\/span><\/p>\n<\/td>\n

\n

Vivek K Parmar, Manan Suri<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Lunch Break (1330-1430)<\/span><\/b><\/p>\n<\/td>\n<\/tr>\n

\n

1430-1515<\/span><\/b><\/p>\n

\n<\/td>\n

\n

\u00a0Keynote Talk: How can neuroscience aid in designing a mortal computer?<\/span><\/p>\n<\/td>\n

\n

Prof. Ayon Borthakur, IIT Hyderabad<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

1515-1545<\/span><\/b><\/p>\n<\/td>\n

\n

Invited Talk: Machine Learning for Resource-efficient Industrial and Infrastructural Inspections<\/span><\/p>\n<\/td>\n

\n

Dr. Hrishikesh Sharma, TCS Research)<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Tea\/Coffee Break (1600-1630)<\/span><\/b><\/p>\n<\/td>\n<\/tr>\n

\n

1630-1730<\/span><\/b><\/p>\n<\/td>\n

\n

Panel discussion: Motivation, challenges, state of the art and future directions of Sustainable AI for Edge (Dr. Balamurali, TCS Research)<\/span><\/span><\/p>\n<\/td>\n

\n

Panelists: Shyam Prabhakar, Ayon Borthakur, Punit Rathore, Hrishikesh Sharma<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\n<\/div>\n

 <\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Popup – #hotelmap” module_id=”hotelmap” module_class=”popup” _builder_version=”4.21.0″ _module_preset=”default” custom_margin=”-55px||||false|false” custom_padding=”0px||||false|false” global_colors_info=”{}”][et_pb_row column_structure=”1_3,1_3,1_3″ _builder_version=”4.20.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_3″ _builder_version=”4.20.2″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.20.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_button button_url=”https:\/\/www.aimlsystems.org\/2023\/wp-content\/uploads\/2023\/09\/AIMLSchedule.pdf” url_new_window=”on” button_text=”Download AIMLSystems 2023 Schedule” button_alignment=”center” _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_button][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.20.2″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"

Schedule

\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t
\n\t\t\t\t\t\n
\n
Time
<\/div><\/div>\n
0930-1000
<\/div><\/div>\n
1000-1100
<\/div><\/div>\n
1100-1130
<\/div><\/div>\n
1130-1300
<\/div><\/div>\n
1300-1400
<\/div><\/div>\n
1400-1600
<\/div><\/div>\n
1600-1630
<\/div><\/div>\n
1630-1745
<\/div><\/div>\n
1745-1900
<\/div><\/div>\n
1900-2200<\/div><\/div>\n<\/div>
Sigma Hall
<\/div><\/div>\n
AIMLSystems'23 Inauguration and Opening Remarks<\/div><\/div>\n
Keynote Talk #1
Christopher Mathew De Sa (Cornell University, USA) <\/i><\/div><\/div>\n
<\/div><\/div>\n
Industry Track<\/div><\/div>\n
<\/div><\/div>\n
Industry Track <\/div><\/div>\n
<\/div><\/div>\n
Panel Discussion #1<\/div><\/div>\n
India-AI session<\/div><\/div>\n
<\/div><\/div>\n<\/div>\n <\/div>
\n
Time
<\/div><\/div>\n
0930-1000
<\/div><\/div>\n
1000-1100
<\/div><\/div>\n
1100-1130
<\/div><\/div>\n
1130-1300
<\/div><\/div>\n
1300-1400
<\/div><\/div>\n
1400-1600
<\/div><\/div>\n
1600-1630
<\/div><\/div>\n
1630-1745
<\/div><\/div>\n
1745-1900
<\/div><\/div>\n
1900-2200<\/div><\/div>\n<\/div>
IA Poolside
<\/div><\/div>\n
<\/div><\/div>\n
<\/div><\/div>\n
Tea\/Coffee Break<\/div><\/div>\n
<\/div><\/div>\n
Lunch Break<\/div><\/div>\n
<\/div><\/div>\n
Tea\/Coffee Break <\/div><\/div>\n
<\/div><\/div>\n
<\/div><\/div>\n
Welcome Reception
Cocktails, Finger Food & Light Dinner<\/i><\/div><\/div>\n<\/div>\n <\/div>
\n
Time
<\/div><\/div>\n
0930-1000
<\/div><\/div>\n
1000-1100
<\/div><\/div>\n
1100-1130
<\/div><\/div>\n
1130-1300
<\/div><\/div>\n
1300-1400
<\/div><\/div>\n
1400-1600
<\/div><\/div>\n
1600-1630
<\/div><\/div>\n
1630-1745
<\/div><\/div>\n
1745-1900
<\/div><\/div>\n
1900-2200<\/div><\/div>\n<\/div>
Indian Affairs
<\/div><\/div>\n
<\/div><\/div>\n
<\/div><\/div>\n
<\/div><\/div>\n
Demos and exhibits <\/div><\/div>\n
<\/div><\/div>\n
Demos and exhibits <\/div><\/div>\n
<\/div><\/div>\n
<\/div><\/div>\n
<\/div><\/div>\n
<\/div><\/div>\n<\/div>\n <\/div>\n <\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>
\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t
\n\t\t\t\t\t\n
\n
Time
<\/div><\/div>\n
1000-1100
<\/div><\/div>\n
1100-1130
<\/div><\/div>\n
1130-1300
<\/div><\/div>\n
1300-1400
<\/div><\/div>\n
1400-1600
<\/div><\/div>\n
1600-1630
<\/div><\/div>\n
1630-1730
<\/div><\/div>\n
1730-1845<\/div><\/div>\n<\/div>
Sigma Hall
<\/div><\/div>\n
Keynote Talk #2
Svetha Venkatesh (Deakin University, Australia)<\/i> <\/div><\/div>\n
<\/div><\/div>\n
Research Track<\/div><\/div>\n
<\/div><\/div>\n
Research Track<\/div><\/div>\n
<\/div><\/div>\n
Keynote Talk #3
Milind Tambe (Google Research & Harvard University, USA)<\/i> <\/div><\/div>\n
Panel Discussion #2<\/div><\/div>\n<\/div>\n <\/div>
\n
Time
<\/div><\/div>\n
1000-1100
<\/div><\/div>\n
1100-1130
<\/div><\/div>\n
1130-1300
<\/div><\/div>\n
1300-1400
<\/div><\/div>\n
1400-1600
<\/div><\/div>\n
1600-1630
<\/div><\/div>\n
1630-1730
<\/div><\/div>\n
1730-1845<\/div><\/div>\n<\/div>
IA Poolside
<\/div><\/div>\n
<\/div><\/div>\n
Tea\/Coffee Break<\/div><\/div>\n
<\/div><\/div>\n
Lunch Break<\/div><\/div>\n
<\/div><\/div>\n
Tea\/Coffee Break<\/div><\/div>\n
<\/div><\/div>\n
<\/div><\/div>\n<\/div>\n <\/div>
\n
Time
<\/div><\/div>\n
1000-1100
<\/div><\/div>\n
1100-1130
<\/div><\/div>\n
1130-1300
<\/div><\/div>\n
1300-1400
<\/div><\/div>\n
1400-1600
<\/div><\/div>\n
1600-1630
<\/div><\/div>\n
1630-1730
<\/div><\/div>\n
1730-1845<\/div><\/div>\n<\/div>
Indian Affairs
<\/div><\/div>\n
<\/div><\/div>\n
<\/div><\/div>\n
Demos and Exhibits<\/div><\/div>\n
<\/div><\/div>\n
Demos and Exhibits<\/div><\/div>\n
<\/div><\/div>\n
<\/div><\/div>\n
<\/div><\/div>\n<\/div>\n <\/div>\n <\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>
\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t
\n\t\t\t\t\t\n
\n
Time
<\/div><\/div>\n
1000-1100
<\/div><\/div>\n
1100-1130
<\/div><\/div>\n
1130-1330
<\/div><\/div>\n
1330-1430
<\/div><\/div>\n
1430-1600
<\/div><\/div>\n
1600-1630
<\/div><\/div>\n
1630-1745
<\/div><\/div>\n
1830-1900
<\/div><\/div>\n
1900-1945
<\/div><\/div>\n
1945-2230<\/div><\/div>\n<\/div>
Sigma Hall
<\/div><\/div>\n
Keynote Talk #4
Sangamitra Bandhopadhyay (Indian Statistical Institute, India)<\/i><\/div><\/div>\n
<\/div><\/div>\n
Research Track<\/div><\/div>\n
<\/div><\/div>\n
<\/div><\/div>\n
<\/div><\/div>\n
Panel Discussion #3<\/div><\/div>\n
AIMLSystems'23 Award Ceremony and Banquet<\/div><\/div>\n
Banquet Talk
<\/i><\/div><\/div>\n
<\/div><\/div>\n<\/div>\n <\/div>
\n
Time
<\/div><\/div>\n
1000-1100
<\/div><\/div>\n
1100-1130
<\/div><\/div>\n
1130-1330
<\/div><\/div>\n
1330-1430
<\/div><\/div>\n
1430-1600
<\/div><\/div>\n
1600-1630
<\/div><\/div>\n
1630-1745
<\/div><\/div>\n
1830-1900
<\/div><\/div>\n
1900-1945
<\/div><\/div>\n
1945-2230<\/div><\/div>\n<\/div>
IA Poolside
<\/div><\/div>\n
<\/div><\/div>\n
Tea\/Coffee Break<\/div><\/div>\n
<\/div><\/div>\n
Lunch Break<\/div><\/div>\n
<\/div><\/div>\n
Tea\/Coffee Break<\/div><\/div>\n
<\/div><\/div>\n
<\/div><\/div>\n
<\/div><\/div>\n
Cocktails and Dinner\t<\/div><\/div>\n<\/div>\n <\/div>
\n
Time
<\/div><\/div>\n
1000-1100
<\/div><\/div>\n
1100-1130
<\/div><\/div>\n
1130-1330
<\/div><\/div>\n
1330-1430
<\/div><\/div>\n
1430-1600
<\/div><\/div>\n
1600-1630
<\/div><\/div>\n
1630-1745
<\/div><\/div>\n
1830-1900
<\/div><\/div>\n
1900-1945
<\/div><\/div>\n
1945-2230<\/div><\/div>\n<\/div>
Indian Affairs
<\/div><\/div>\n
<\/div><\/div>\n
<\/div><\/div>\n
Poster Session<\/div><\/div>\n
<\/div><\/div>\n
Poster Session<\/div><\/div>\n
<\/div><\/div>\n
<\/div><\/div>\n
<\/div><\/div>\n
<\/div><\/div>\n
<\/div><\/div>\n<\/div>\n <\/div>\n <\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>
\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t
\n\t\t\t\t\t\n
\n
Time
<\/div><\/div>\n
0900-1130
<\/div><\/div>\n
1130-1200
<\/div><\/div>\n
1200-1330
<\/div><\/div>\n
1330-1430
<\/div><\/div>\n
1430-1600
<\/div><\/div>\n
1600-1630
<\/div><\/div>\n
1630-1730<\/div><\/div>\n<\/div>
Sigma 3
<\/div><\/div>\n
Generative AI Workshop<\/div><\/div>\n
<\/div><\/div>\n
Generative AI Workshop<\/div><\/div>\n
<\/div><\/div>\n
Generative AI Workshop<\/div><\/div>\n
<\/div><\/div>\n
Generative AI Workshop<\/div><\/div>\n<\/div>\n <\/div>
\n
Time
<\/div><\/div>\n
0900-1130
<\/div><\/div>\n
1130-1200
<\/div><\/div>\n
1200-1330
<\/div><\/div>\n
1330-1430
<\/div><\/div>\n
1430-1600
<\/div><\/div>\n
1600-1630
<\/div><\/div>\n
1630-1730<\/div><\/div>\n<\/div>
IA Poolside
<\/div><\/div>\n
<\/div><\/div>\n
Tea\/Coffee Break<\/div><\/div>\n
<\/div><\/div>\n
Lunch Break<\/div><\/div>\n
<\/div><\/div>\n
Tea\/Coffee Break<\/div><\/div>\n
<\/div><\/div>\n<\/div>\n <\/div>
\n
Time
<\/div><\/div>\n
0900-1130
<\/div><\/div>\n
1130-1200
<\/div><\/div>\n
1200-1330
<\/div><\/div>\n
1330-1430
<\/div><\/div>\n
1430-1600
<\/div><\/div>\n
1600-1630
<\/div><\/div>\n
1630-1730<\/div><\/div>\n<\/div>
Sigma 1
<\/div><\/div>\n
Sustainable AI for Edge (SAI4E)<\/div><\/div>\n
<\/div><\/div>\n
Sustainable AI for Edge (SAI4E)<\/div><\/div>\n
<\/div><\/div>\n
Sustainable AI for Edge (SAI4E)<\/div><\/div>\n
<\/div><\/div>\n
Sustainable AI for Edge (SAI4E)<\/div><\/div>\n<\/div>\n <\/div>\n <\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>
\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t
\n\t\t\t\t\t\n
Time<\/div><\/div>\n
Sigma Hall
<\/div><\/div>\n
IA Poolside
<\/div><\/div>\n
Indian Affairs
<\/div><\/div>\n<\/div>
0930-1000<\/div><\/div>\n
AIMLSystems'23 Inauguration and Opening Remarks<\/div><\/div>\n
<\/div><\/div>\n
<\/div><\/div>\n<\/div>
1000-1100<\/div><\/div>\n
Keynote Talk #1
Christopher Mathew De Sa (Cornell University, USA) <\/i><\/div><\/div>\n
<\/div><\/div>\n
<\/div><\/div>\n<\/div>
1100-1130<\/div><\/div>\n
<\/div><\/div>\n
Tea\/Coffee Break<\/div><\/div>\n
<\/div><\/div>\n<\/div>
1130-1300<\/div><\/div>\n
Industry Track<\/div><\/div>\n
<\/div><\/div>\n
Demos and exhibits <\/div><\/div>\n<\/div>
1300-1400<\/div><\/div>\n
<\/div><\/div>\n
Lunch Break<\/div><\/div>\n
<\/div><\/div>\n<\/div>
1400-1600<\/div><\/div>\n
Industry Track <\/div><\/div>\n
<\/div><\/div>\n
Demos and exhibits <\/div><\/div>\n<\/div>
1600-1630<\/div><\/div>\n
<\/div><\/div>\n
Tea\/Coffee Break <\/div><\/div>\n
<\/div><\/div>\n<\/div>
1630-1745<\/div><\/div>\n
Panel Discussion #1<\/div><\/div>\n
<\/div><\/div>\n
<\/div><\/div>\n<\/div>
1745-1900<\/div><\/div>\n
India-AI session<\/div><\/div>\n
<\/div><\/div>\n
<\/div><\/div>\n<\/div>
1900-2200<\/div><\/div>\n
<\/div><\/div>\n
Welcome Reception
Cocktails, Finger Food & Light Dinner<\/i><\/div><\/div>\n
<\/div><\/div>\n<\/div>\n <\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>
\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t
\n\t\t\t\t\t\n
Time
<\/div><\/div>\n
Sigma Hall
<\/div><\/div>\n
IA Poolside
<\/div><\/div>\n
Indian Affairs
<\/div><\/div>\n<\/div>
1000-1100
<\/div><\/div>\n
Keynote Talk #2
Svetha Venkatesh (Deakin University, Australia)<\/i> <\/div><\/div>\n
<\/div><\/div>\n
<\/div><\/div>\n<\/div>
1100-1130
<\/div><\/div>\n
<\/div><\/div>\n
Tea\/Coffee Break<\/div><\/div>\n
<\/div><\/div>\n<\/div>
1130-1300
<\/div><\/div>\n
Research Track<\/div><\/div>\n
<\/div><\/div>\n
Demos and Exhibits<\/div><\/div>\n<\/div>
1300-1400
<\/div><\/div>\n
<\/div><\/div>\n
Lunch Break<\/div><\/div>\n
<\/div><\/div>\n<\/div>
1400-1600
<\/div><\/div>\n
Research Track<\/div><\/div>\n
<\/div><\/div>\n
Demos and Exhibits<\/div><\/div>\n<\/div>
1600-1630
<\/div><\/div>\n
<\/div><\/div>\n
Tea\/Coffee Break<\/div><\/div>\n
<\/div><\/div>\n<\/div>
1630-1730
<\/div><\/div>\n
Keynote Talk #3
Milind Tambe (Google Research & Harvard University, USA)<\/i> <\/div><\/div>\n
<\/div><\/div>\n
<\/div><\/div>\n<\/div>
1730-1845<\/div><\/div>\n
Panel Discussion #2<\/div><\/div>\n
<\/div><\/div>\n
<\/div><\/div>\n<\/div>\n <\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>
\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t
\n\t\t\t\t\t\n
Time
<\/div><\/div>\n
Sigma Hall
<\/div><\/div>\n
IA Poolside
<\/div><\/div>\n
Indian Affairs
<\/div><\/div>\n<\/div>
1000-1100
<\/div><\/div>\n
Keynote Talk #4
Sangamitra Bandhopadhyay (Indian Statistical Institute, India)<\/i><\/div><\/div>\n
<\/div><\/div>\n
<\/div><\/div>\n<\/div>
1100-1130
<\/div><\/div>\n
<\/div><\/div>\n
Tea\/Coffee Break<\/div><\/div>\n
<\/div><\/div>\n<\/div>
1130-1300
<\/div><\/div>\n
Research Track<\/div><\/div>\n
<\/div><\/div>\n
Poster Session<\/div><\/div>\n<\/div>
1330-1430
<\/div><\/div>\n
<\/div><\/div>\n
Lunch Break<\/div><\/div>\n
<\/div><\/div>\n<\/div>
1430-1600
<\/div><\/div>\n
<\/div><\/div>\n
<\/div><\/div>\n
Poster Session<\/div><\/div>\n<\/div>
1600-1630
<\/div><\/div>\n
<\/div><\/div>\n
Tea\/Coffee Break<\/div><\/div>\n
<\/div><\/div>\n<\/div>
1630-1745
<\/div><\/div>\n
Panel Discussion #3<\/div><\/div>\n
<\/div><\/div>\n
<\/div><\/div>\n<\/div>
1830-1900
<\/div><\/div>\n
AIMLSystems'23 Award Ceremony and Banquet<\/div><\/div>\n
<\/div><\/div>\n
<\/div><\/div>\n<\/div>
1900-1945
<\/div><\/div>\n
Banquet Talk
<\/i><\/div><\/div>\n
<\/div><\/div>\n
<\/div><\/div>\n<\/div>
1945-2230<\/div><\/div>\n
<\/div><\/div>\n
Cocktails and Dinner\t<\/div><\/div>\n
<\/div><\/div>\n<\/div>\n <\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>
\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t
\n\t\t\t\t\t\n
Time
<\/div><\/div>\n
Sigma 3
<\/div><\/div>\n
IA Poolside
<\/div><\/div>\n
Sigma 1
<\/div><\/div>\n<\/div>
0900-1130
<\/div><\/div>\n
Generative AI Workshop<\/div><\/div>\n
<\/div><\/div>\n
Sustainable AI for Edge (SAI4E)<\/div><\/div>\n<\/div>
1130-1200
<\/div><\/div>\n
<\/div><\/div>\n
Tea\/Coffee Break<\/div><\/div>\n
<\/div><\/div>\n<\/div>
1200-1330
<\/div><\/div>\n
Generative AI Workshop<\/div><\/div>\n
<\/div><\/div>\n
Sustainable AI for Edge (SAI4E)<\/div><\/div>\n<\/div>
1330-1430
<\/div><\/div>\n
<\/div><\/div>\n
Lunch Break<\/div><\/div>\n
<\/div><\/div>\n<\/div>
1430-1600
<\/div><\/div>\n
Generative AI Workshop<\/div><\/div>\n
<\/div><\/div>\n
Sustainable AI for Edge (SAI4E)<\/div><\/div>\n<\/div>
1600-1630
<\/div><\/div>\n
<\/div><\/div>\n
Tea\/Coffee Break<\/div><\/div>\n
<\/div><\/div>\n<\/div>
1630-1730<\/div><\/div>\n
Generative AI Workshop<\/div><\/div>\n
<\/div><\/div>\n
Sustainable AI for Edge (SAI4E)<\/div><\/div>\n<\/div>\n <\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>Industry Track – 25 Oct 2023 Session Theme Time Title Author\/Speaker 1130-1300 Session Chair: Rahul Ghosh \u00a0 Theme 1: Planning and Recommendation 1130-1145 [Paper # 5] CONRAD: Cognitive Intent Driven 5G Network Slice Planning and Design \u00a0Ajay Kattepur (Ericsson)*; Swarup Kumar Mohalik (Ericsson); Ian Burdick (Ericsson); Marin […]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","inline_featured_image":false,"footnotes":""},"class_list":["post-1353","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.aimlsystems.org\/2023\/wp-json\/wp\/v2\/pages\/1353","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.aimlsystems.org\/2023\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.aimlsystems.org\/2023\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.aimlsystems.org\/2023\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aimlsystems.org\/2023\/wp-json\/wp\/v2\/comments?post=1353"}],"version-history":[{"count":121,"href":"https:\/\/www.aimlsystems.org\/2023\/wp-json\/wp\/v2\/pages\/1353\/revisions"}],"predecessor-version":[{"id":4131,"href":"https:\/\/www.aimlsystems.org\/2023\/wp-json\/wp\/v2\/pages\/1353\/revisions\/4131"}],"wp:attachment":[{"href":"https:\/\/www.aimlsystems.org\/2023\/wp-json\/wp\/v2\/media?parent=1353"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}