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[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Features” module_id=”about” _builder_version=”4.21.0″ _module_preset=”default” background_color=”#dbdbdb” background_image=”https:\/\/www.aimlsystems.org\/2023\/wp-content\/uploads\/2023\/05\/rm380-10.jpg” background_blend=”overlay” custom_padding=”3.9%||||false|false” use_background_color_gradient_phone=”on” background_color_gradient_stops_phone=”#001528 0%|rgba(255, 255, 255, 0) 10%|rgba(255,255,255,0) 70%|#0f0122 100%” collapsed=”on” global_colors_info=”{}”][et_pb_row column_structure=”2_3,1_3″ _builder_version=”4.21.0″ _module_preset=”default” custom_padding=”27px||43px|||” global_colors_info=”{}”][et_pb_column type=”2_3″ _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n
With the rapid advancement of Artificial Intelligence (AI) technologies, the integration of AI into edge devices has gained significant attention. Edge computing, which enables data processing closer to the source of generation, has become essential for applications requiring real-time, low-latency, and privacy-sensitive computation. Moreover, the emerging field of neuromorphic computing, inspired by the architecture and functionality of the human brain, offers promising opportunities for efficient and intelligent edge computing systems. The First International Workshop on Sustainable AI for Edge (SAI4E 2023), as part of AIMLSys 2023, with a special focus on industry applications, aims to bring together researchers, practitioners, and enthusiasts from academia and industry to delve into the realm of sustainable AI for the edge, emphasizing the convergence of edge computing and neuromorphic computing. By combining the principles of edge computing’s decentralized approach with the brain-inspired computing paradigm of neuromorphic systems, we can explore innovative solutions that address the challenges of scalability, energy efficiency, and adaptability in AI deployments at the edge.<\/span><\/span><\/p>\n SAI4E 2023 invites submissions of original research papers, case studies, and review articles in the field of sustainable AI for edge computing. The workshop seeks to foster discussions on a wide range of topics, including but not limited to:<\/span><\/p>\n <\/span><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_tabs active_tab_background_color=”#1c1b3a” inactive_tab_background_color=”#0b91c6″ _builder_version=”4.21.0″ _module_preset=”default” tab_text_color=”#FFFFFF” background_color=”rgba(0,0,0,0)” custom_padding=”||0px||false|false” border_radii=”on|11px|11px|11px|11px” global_colors_info=”{%22gcid-f1f9244b-c8ab-43e1-95c3-c0bdf69ac7b5%22:%91%22active_tab_background_color%22,%22active_tab_background_color%22%93}”][et_pb_tab title=”Chairs” _builder_version=”4.21.0″ _module_preset=”default” body_line_height=”1.4em” global_colors_info=”{}”]<\/p>\n General Workshop Chair<\/u><\/strong>:<\/strong><\/p>\n Dr. Arpan Pal,<\/a> Distinguished Chief Scientist, TCS Research<\/p>\n Workshop Advisor:<\/u><\/strong><\/p>\n Dr. Pallab Dasgupta, Head of Research & Innovation, Synopsis Inc.<\/p>\n Program Co-Chairs<\/u><\/strong>:<\/strong><\/p>\n [\/et_pb_tab][\/et_pb_tabs][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.21.0″ _module_preset=”default” min_height=”882.9px” custom_padding=”61px|||||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.21.0″ _module_preset=”default” hover_enabled=”0″ locked=”off” global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n Schedule<\/strong><\/p>\n Session<\/span><\/b><\/p>\n<\/td>\n Title<\/span><\/b><\/p>\n<\/td>\n Author<\/span><\/b><\/p>\n<\/td>\n<\/tr>\n 0900-1015<\/span><\/b><\/p>\n \n<\/td>\n TinyML Tutorial<\/span><\/p>\n<\/td>\n 1015-1100<\/span><\/b><\/p>\n<\/td>\n Keynote Talk: Importance of AI Explainability for Hight Frequency Data\u00a0<\/span><\/p>\n<\/td>\n 1100-1130\u00a0<\/span><\/b><\/p>\n<\/td>\n Invited Talk: Unlocking the Value of Vehicular Data: A Simple, Unsupervised Approach for On-board Driver Behavior Classification<\/span><\/p>\n<\/td>\n Tea\/Coffee Break (1130-1200)<\/span><\/b><\/p>\n<\/td>\n<\/tr>\n 1230-1330<\/span><\/b><\/p>\n \n<\/td>\n Multi-Task Learning for massive MIMO CSI Feedback\u00a0<\/span><\/p>\n<\/td>\n Sharan Mourya Bathala<\/span><\/p>\n<\/td>\n<\/tr>\n A Study on Tiny YOLO for Resource Constrained XRay Threat Detection<\/span><\/p>\n<\/td>\n Raghav Venkata Ambati<\/span><\/p>\n<\/td>\n<\/tr>\n GPU Implementation: Accelerating 3D-Bin Packing Problem<\/span><\/p>\n<\/td>\n Krishna Vamsi, Ashwin Krishnan, Manoj Nambiar)<\/span><\/p>\n<\/td>\n<\/tr>\n Binarized-Distance Computation for performing low-power Face Recognition with optimized storage<\/span><\/p>\n<\/td>\n Vivek K Parmar, Manan Suri<\/span><\/p>\n<\/td>\n<\/tr>\n Lunch Break (1330-1430)<\/span><\/b><\/p>\n<\/td>\n<\/tr>\n 1430-1515<\/span><\/b><\/p>\n \n<\/td>\n \u00a0Keynote Talk: How can neuroscience aid in designing a mortal computer?<\/span><\/p>\n<\/td>\n Prof. Ayon Borthakur, IIT Hyderabad<\/span><\/p>\n<\/td>\n<\/tr>\n 1515-1545<\/span><\/b><\/p>\n<\/td>\n Invited Talk: Machine Learning for Resource-efficient Industrial and Infrastructural Inspections<\/span><\/p>\n<\/td>\n Dr. Hrishikesh Sharma, TCS Research)<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n Tea\/Coffee Break (1600-1630)<\/span><\/b><\/p>\n<\/td>\n<\/tr>\n 1630-1730<\/span><\/b><\/p>\n<\/td>\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 Panelists: Shyam Prabhakar, Ayon Borthakur, Punit Rathore, Hrishikesh Sharma<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n <\/p>\n Click here to view the complete program for the workshop.<\/a> We invite authors to submit original and unpublished research papers (upto 4 pages excluding references). All submissions will undergo a rigorous peer-review process by the program committee. The authors are requested to follow the ACM sigconf template (see https:\/\/www.overleaf.com\/gallery\/tagged\/acm-official<\/a>). All accepted papers will be published in the proceedings of AIMLSys 2023.<\/span><\/p>\nScope<\/strong><\/span><\/h4>\n
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\n \n \n \n \n \n \n \u00a0Swarnava Dey & Gitesh Kulkarni (TCS Research)<\/span><\/td>\n<\/tr>\n \n \n \n Shyam Prabhakar, Renesas<\/span><\/td>\n<\/tr>\n \n \n \n Prof. Punit Rathore, IISc Bangalore<\/span><\/td>\n<\/tr>\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 Program
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Submission Guidelines<\/strong><\/h4>\n
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