[et_pb_section fb_built=”1″ custom_padding_last_edited=”on|phone” admin_label=”Header” _builder_version=”4.21.0″ _module_preset=”default” background_color=”gcid-1bcf785a-50e1-437b-b09f-65567babc1de” background_image=”https:\/\/www.aimlsystems.org\/2023\/wp-content\/uploads\/2023\/05\/grid-bg-2.png” background_size=”initial” background_position=”bottom_center” background_repeat=”repeat” custom_padding=”||22px||false|false” custom_padding_tablet=”||22px||false|false” custom_padding_phone=”||0px||false|false” collapsed=”on” global_colors_info=”{%22gcid-1bcf785a-50e1-437b-b09f-65567babc1de%22:%91%22background_color%22%93}”][et_pb_row column_structure=”2_3,1_3″ custom_padding_last_edited=”on|desktop” _builder_version=”4.21.0″ _module_preset=”default” custom_padding_tablet=”” custom_padding_phone=”||0px||false|false” global_colors_info=”{}”][et_pb_column type=”2_3″ _builder_version=”4.19.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.21.0″ _module_preset=”7f63b212-a10a-4d30-afa2-e478a747ca88″ custom_margin=”||12px||false|false” header_2_font_size_phone=”33px” global_colors_info=”{}”]<\/p>\n
[\/et_pb_text][et_pb_text _builder_version=”4.21.0″ _module_preset=”default” text_font=”|700|||||||” text_text_color=”#E02B20″ global_colors_info=”{}”]<\/p>\n
Paper submissions due: July 12<\/span> July 26, 2023, 11:59 pm AOE.<\/p>\n [\/et_pb_text][et_pb_button button_url=”https:\/\/cmt3.research.microsoft.com\/AIMLSystems2023\/” url_new_window=”on” button_text=”Submit Papers” button_alignment=”left” disabled_on=”off|off|off” _builder_version=”4.21.0″ _module_preset=”default” custom_button=”on” button_text_size=”15px” button_text_color=”#FFFFFF” button_border_width=”1px” button_border_radius=”78px” button_font=”Poppins|500||on|||||” button_icon=”$||divi||400″ animation_style=”fade” global_colors_info=”{}” button_bg_color__hover_enabled=”on|hover” button_bg_color__hover=”” button_bg_enable_color__hover=”off” button_bg_color_gradient_stops__hover=”#2b87da 0%|#0d1c63 100%” button_bg_use_color_gradient__hover=”on”][\/et_pb_button][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.19.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.aimlsystems.org\/2023\/wp-content\/uploads\/2023\/05\/ai-icon-01.png” title_text=”ai-icon-01″ align=”center” disabled_on=”on|on|off” _builder_version=”4.21.0″ _module_preset=”default” custom_margin=”-3px|||||” global_colors_info=”{}”][\/et_pb_image][\/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=”#c1c1c1″ background_image=”https:\/\/www.aimlsystems.org\/2023\/wp-content\/uploads\/2023\/05\/rm380-10.jpg” background_blend=”overlay” custom_padding=”3.1%||||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=”off” global_colors_info=”{}”][et_pb_row column_structure=”3_5,2_5″ _builder_version=”4.21.0″ _module_preset=”default” min_height=”428.7px” global_colors_info=”{}”][et_pb_column type=”3_5″ _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=”{}”]With the rapid growth of industrial and real-life adoption of artificial intelligence (AI) and machine learning (ML), a new research area is emerging at their intersection with systems design. This area is seeded by the continued growth in data volume, rapid increase in size and complexity of predictive models and scale-up supported through development of large-scale AI\/ML hardware. We solicit submissions of papers describing designs and implementations of solutions and systems for practical tasks at the intersection of AI\/ML and computer systems. The primary emphasis is on papers that \u200beither solve or advance the understanding of \u200bissues related to deploying learning systems in the real world. We also aim to elicit new connections among these diverse fields, and identify tools, best practices and design principles. Papers demonstrating \u200bsignificant, verifiable\u200b business- or real-world impact as a result of such deployments are encouraged.[\/et_pb_text][et_pb_text _builder_version=”4.21.0″ _module_preset=”default” text_text_color=”#2d2d2d” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″ locked=”off”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.21.0″ _module_preset=”default” text_text_color=”#FFFFFF” header_3_font=”|700|||||||” custom_margin=”||8px|||” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}”]We specially encourage implementation of a system that solves a real-world problem and is (or was or is planned) in production use for an extended period. The paper should present the problem, its significance to the application domain, the decisions and tradeoffs made when making design choices for the solution, the deployment challenges, and the lessons learned from successes and failures (when applicable). Papers that describe enabling infrastructure for large-scale deployment of applied machine learning also fall in this category. The work may particularly focus on how to overcome real challenges in the pipelines which may include data collection, low-resource processing, and usability, and it is perfectly fine that the underlying machine learning algorithms are not fundamentally groundbreaking.[\/et_pb_text][\/et_pb_column][et_pb_column type=”2_5″ _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_tabs active_tab_background_color=”#1c1b3a” _builder_version=”4.21.0″ _module_preset=”default” tab_text_color=”#FFFFFF” background_color=”rgba(0,0,0,0)” border_radii=”on|11px|11px|11px|11px” global_colors_info=”{%22gcid-f1f9244b-c8ab-43e1-95c3-c0bdf69ac7b5%22:%91%22active_tab_background_color%22%93}”][et_pb_tab title=”Important Dates” _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n [\/et_pb_tab][\/et_pb_tabs][et_pb_tabs active_tab_background_color=”#1c1b3a” _builder_version=”4.21.0″ _module_preset=”default” tab_text_color=”#FFFFFF” background_color=”rgba(0,0,0,0)” border_radii=”on|11px|11px|11px|11px” global_colors_info=”{%22gcid-f1f9244b-c8ab-43e1-95c3-c0bdf69ac7b5%22:%91%22active_tab_background_color%22%93}”][et_pb_tab title=”Chairs” _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n [\/et_pb_tab][\/et_pb_tabs][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.21.0″ _module_preset=”default” background_enable_color=”off” background_enable_image=”off” background_size=”custom” background_image_width=”50%” background_image_height=”50%” background_repeat=”repeat” global_colors_info=”{}”][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_text _builder_version=”4.21.0″ _module_preset=”default” custom_margin=”||14px|||” header_4_font_size_tablet=”” header_4_font_size_phone=”22px” header_4_font_size_last_edited=”on|desktop” global_colors_info=”{}”]<\/p>\n This interest include AI\/ML systems machine learning applications in all mature and emerging domains, as well as contributions to enabling algorithmic, infrastructure, and optimization methodologies to improve learning efficiency, scaling, and adoption\/deployment. The topics include, but are not limited to:<\/span><\/p>\n [\/et_pb_text][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)” border_radii=”on|11px|11px|11px|11px” global_colors_info=”{%22gcid-f1f9244b-c8ab-43e1-95c3-c0bdf69ac7b5%22:%91%22active_tab_background_color%22%93}”][et_pb_tab title=”AI\/ML” _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}”]<\/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” custom_padding=”7px|||||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_accordion icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.21.0″ _module_preset=”default” custom_margin=”||14px|||” animation_direction=”bottom” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”Reviewing process” open=”on” _builder_version=”4.21.0″ _module_preset=”default” background_color=”#f4f4f4″ background_enable_color=”on” global_colors_info=”{}”]<\/p>\n [\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.21.0″ _module_preset=”default” custom_margin=”||14px|||” animation_direction=”bottom” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”Submission format” open=”on” _builder_version=”4.21.0″ _module_preset=”default” background_color=”#f4f4f4″ background_enable_color=”on” global_colors_info=”{}”]<\/p>\n Research papers must not exceed 6 pages, including any appendix, with an unlimited number of pages containing only bibliography. Only electronic submissions in PDF format using the ACM sigconf template (see\u00a0<\/span>https:\/\/www.acm.org\/publications\/proceedings-template<\/a>) will be considered. The submissions will be through\u00a0<\/span>https:\/\/cmt3.research.microsoft.com\/AIMLSystems2023<\/a>.<\/span><\/p>\n [\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" Call for\u00a0Papers Industry TrackPaper submissions due: July 12 July 26, 2023, 11:59 pm AOE.With the rapid growth of industrial and real-life adoption of artificial intelligence (AI) and machine learning (ML), a new research area is emerging at their intersection with systems design. This area is seeded by the continued growth in data volume, rapid increase […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"\n 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\n\n\n 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<\/blockquote>\n\n\n\n ...or something like this:<\/p>\n\n\n\n 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<\/blockquote>\n\n\n\nCamera Ready Submission<\/b><\/h3>\n
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DEPLOYED Systems<\/strong><\/h3>\n
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Topics of Interest<\/h4>\n
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