BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Pacific BEGIN:DAYLIGHT DTSTART:20240310T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20241103T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20240917T173946Z UID:2879A312-B6B5-4617-814E-5E5EBA09B5D0 DTSTART;TZID=US/Pacific:20240913T090000 DTEND;TZID=US/Pacific:20240913T150000 DESCRIPTION:Important: Please use your Zoom account (create one if you don' t have) to register for the virtual event.\n\nhttps://sjsu.zoom.us/meeting /register/tZYvc-ygpzwqHd0I34ZDpWy2-9Sot_910anP\n\nJoin us for the Third In ternational Conference on Applied Data Science (ICADS 2024) \, organized b y the IEEE Computer Society of Santa Clara Valley. This virtual event brin gs together global innovators in data science to share cutting-edge resear ch and practical applications.\n\nWith keynote sessions\, interactive work shops\, and panel discussions covering topics related to GenAI and its app lication. ICADS 2024 offers a dynamic platform for innovation and collabor ation. Don't miss this opportunity to connect with experts and advance the field of data science.\n\nQuantum Gate Neural Networks\, Dr Siddhartha Bh attacharyya\, India\n\nThis talk is centered around the introduction to th e implementation of neural networks in quantum computing frameworks. The t alk starts with a brush-up on the operational principles of classical neur al networks\, followed by the TensorFlow Quantum Framework (TQF) - the bas ic building block of Quantum Neural Networks (QNNs). Then it delves into t he details of Parameterized Quantum Circuits (PQCs). The Quantum Neural Ne twork training model is also discussed with reference to TQF. Subsequently \, it touches on the visualization of Quantum Convolutional Neural Network s (QCNNs). Finally\, the advantages offered by QNNs over their classical c ounterparts are also highlighted.\n\nDigital twin in Aerospace Supply chai n\, Amit Dubey\n\nIn this cutting-edge 1-hour workshop\, we delve into the transformative potential of digital twin technology enhanced by machine l earning in the aerospace supply chain. As the industry faces unprecedented challenges and opportunities\, this session explores how this powerful co mbination is reshaping supply chain management\, offering unparalleled imp rovements in efficiency\, predictive maintenance\, and decision-making pro cesses using data science.\n\nEnabling Performance-Efficient GenAI at the Edge Through Quantization\, Dwith Chenna\n\nThe widespread adoption of Gen erative AI (GenAI) applications has sparked a revolution in the developmen t of innovative solutions\, it is expected that inference will account for 90% of the costs associated with GenAI applications\, compared to only 10 % for training. This cost disparity\, along with the environmental impact of inference and data privacy concerns\, has underscored the need for opti mization at the edge. Quantization has emerged as a crucial technique\, of fering significant performance gains in computation and memory usage. In t his presentation\, we will delve into modern quantization techniques that facilitate the deployment of GenAI applications\, such as large language m odels (LLMs)\, at the Edge. We will explore popular methods including AWQ\ , SmoothQuant\, and Block Quantization\, examining their trade-offs and op timizations. Using popular open-source models like Llama\, OPT and Mistral \, along with Llama.cpp\, a well-regarded C++ implementation\, as case stu dy\, we will analyze the impact of quantization on model performance for a chieving overall efficiency in GenAI deployments.\n\nThe Power and Perils of Generative AI: A Realistic Perspective\, Professor San Murugesan\n\nIn just two years\, Generative AI (GenAI) has emerged as one of the most tran sformative technologies\, revolutionizing industries\, businesses\, and pe rsonal interactions with its unprecedented capabilities in content creatio n\, coding\, and advisory services. This talk will explore GenAI's dual na ture—its extraordinary potential and the significant risks it poses. We aim to provide participants with a balanced understanding of GenAI\, empow ering them to harness its power while effectively managing associated risk s. We'll begin by highlighting applications for which GenAI is particularl y well-suited and showcasing innovations reshaping sectors such as healthc are\, education\, business\, research\, and design. We will also address G enAI's limitations\, including its reliance on vast data sets\, its potent ial to generate biased or misleading information\, and its ongoing technic al challenges.\n\nThe discussion will then shift to broader concerns\, inc luding ethical dilemmas\, security vulnerabilities\, and GenAI's societal impact. We'll also examine legal and regulatory issues\, focusing on evolv ing frameworks around responsible AI-generated content\, copyright\, and r egulations to mitigate GenAI's risks. Understanding and addressing these i ssues is not just a necessity\, but a responsibility that we\, as technolo gy professionals\, must uphold. Finally\, we will explore GenAI's impact o n cybersecurity—both as a tool for enhancing defenses and as a potential vector for new threats. We’ll also discuss emerging GenAI trends and ho w businesses and professionals can prepare for the GenAI era\n\nAccelerati ng Code Contribution with CodeBaseBuddy's Intelligent Semantic Search Syst em\, Raghavan Muthuregunathan\n\nNavigating and contributing to new codeba ses is a daunting challenge\, especially for newcomers to open-source proj ects. Unlock the power of efficient code contribution with CodeBaseBuddy\, a tool that's helping how developers tackle unfamiliar repositories. In t his talk\, we'll dive into the innovative combination of Retrieval Augment ed Generation (RAG)\, Codestral\, and Ollama to create a privacy-preservin g\, locally deployable semantic code search solution. Discover how this sy stem accelerates onboarding\, reduces errors\, and enhances community enga gement in open-source projects. CodeBaseBuddy provides step-by-step guidan ce and specific pointers for modifying files\, transforming the experience of working with complex codebases. Whether you're a seasoned developer or new to the field\, you'll learn how this tool can streamline your coding process and boost productivity. Join us to explore the future of collabora tive coding and see firsthand how CodeBaseBuddy is making intricate codeba ses more accessible than ever before.\n\nPanel Discussion - AI and Social Media\n\nThe convergence of artificial intelligence (AI) and social media has revolutionized the way businesses engage with their audience. By lever aging AI\, companies can perform advanced audience analysis and optimize t heir content to maximize engagement. However\, the same technology has als o accelerated the spread of misinformation\, highlighting the need for a b alanced approach that weighs both the benefits and ethical risks.The panel will address critical questions around the benefits and impact of AI inte gration\, the challenges of implementation\, the opportunities for innovat ive applications\, and the future trends shaping this rapidly evolving fie ld. By bringing together experts from academia and industry\, this discuss ion aims to shed light on strategic decision-making and policy development \, offering valuable insights into the far-reaching implications of AI and social media convergence.\n\nSpeaker(s): Amit Dubey\, Professor San Murug esan\, Dwith Chenna\, Dr. Siddhartha Bhattacharyya\, Vipul Bharat Marlecha \, Aqsa Fulara\, Anupam Mukherjee\, Raghavan Muthuregunathan\, Meenal Nalw aya\n\nAgenda: \nAgenda\n\n09:00 -10:00 am: Quantum Gate Neural Networks\n \n10:00 am - 11:00 am: Panel Discussion - AI and Social Media\n\n11:00 - 1 2:00 pm Accelerating Code Contribution with CodeBaseBuddy's Intelligent Se mantic Search System\n\n12:00 - 01:00 pm Digital twin in Aerospace Supply chain\n\n01:00 - 2:00 pm Enabling Performance-Efficient GenAI at the Edge Through Quantization\n\n2:00 - 3:00 pm The Power and Perils of Generative AI: A Realistic Perspective\n\nVirtual: https://events.vtools.ieee.org/m/4 30463 LOCATION:Virtual: https://events.vtools.ieee.org/m/430463 ORGANIZER:pendyala@ieee.org SEQUENCE:62 SUMMARY:ICADS ’24: Third International Conference on Applied Data Science URL;VALUE=URI:https://events.vtools.ieee.org/m/430463 X-ALT-DESC:Description: <br /><p>Important: Please use your Zoom account (c reate one if you don't have) to register for the virtual event.</p>\n<p><a href="https://sjsu.zoom.us/meeting/register/tZYvc-ygpzwqHd0I34ZDpWy2-9Sot _910anP">https://sjsu.zoom.us/meeting/register/tZYvc-ygpzwqHd0I34ZDpWy2-9S ot_910anP</a></p>\n<p>Join us for the&nbsp\;<strong>Third International Co nference on Applied Data Science (ICADS 2024) </strong>\, organized by the IEEE Computer Society of Santa Clara Valley. This virtual event brings to gether global innovators in data science to share cutting-edge research an d practical applications.</p>\n<p>With keynote sessions\, interactive work shops\, and panel discussions covering topics related to GenAI and its app lication. ICADS 2024 offers a dynamic platform for innovation and collabor ation. Don't miss this opportunity to connect with experts and advance the field of data science.</p>\n<p><strong>Quantum Gate Neural Networks\,&nbs p\;</strong><strong>Dr <strong id="docs-internal-guid-724f3d1e-7fff-6ba3-e 9ca-ddd53383baa9">Siddhartha Bhattacharyya\, India</strong></strong></p>\n <p>This talk is centered around the introduction to the implementation of neural networks in quantum computing frameworks. The talk starts with a br ush-up on the operational principles of classical neural networks\, follow ed by the TensorFlow Quantum Framework (TQF) - the basic building block of Quantum Neural Networks (QNNs). Then it delves into the details of Parame terized Quantum Circuits (PQCs). The Quantum Neural Network training model is also discussed with reference to TQF. Subsequently\, it touches on the visualization of Quantum Convolutional Neural Networks (QCNNs). Finally\, the advantages offered by QNNs over their classical counterparts are also highlighted.</p>\n<p><strong><strong>Digital twin in Aerospace Supply cha in\, Amit Dubey</strong></strong></p>\n<p dir="ltr">In this cutting-edge 1 -hour workshop\, we delve into the transformative potential of digital&nbs p\;twin technology enhanced by machine learning in the aerospace supply ch ain. As the&nbsp\;industry faces unprecedented challenges and opportunitie s\, this session explores how&nbsp\;this powerful combination is reshaping supply chain management\, offering unparalleled&nbsp\;improvements in eff iciency\, predictive maintenance\, and decision-making processes&nbsp\;usi ng data science.</p>\n<p><strong><strong>Enabling Performance-Efficient Ge nAI at the Edge Through Quantization\, <strong id="docs-internal-guid-3c36 f2b4-7fff-79bd-cf8c-de6dbcb56fdd">Dwith Chenna</strong></strong></strong>< /p>\n<p>The widespread adoption of Generative AI (GenAI) applications has sparked a revolution in the development of innovative solutions\, it is ex pected that inference will account for 90% of the costs associated with Ge nAI applications\, compared to only 10% for training. This cost disparity\ , along with the environmental impact of inference and data privacy concer ns\, has underscored the need for optimization at the edge. Quantization h as emerged as a crucial technique\, offering significant performance gains in computation and memory usage. In this presentation\, we will delve int o modern quantization techniques that facilitate the deployment of GenAI a pplications\, such as large language models (LLMs)\, at the Edge. We will explore popular methods including AWQ\, SmoothQuant\, and Block Quantizati on\, examining their trade-offs and optimizations. Using popular open-sour ce models like Llama\, OPT and Mistral\, along with Llama.cpp\, a well-reg arded C++ implementation\, as case study\, we will analyze the impact of q uantization on model performance for achieving overall efficiency in GenAI deployments.</p>\n<p><strong><strong>The Power and Perils of Generative A I: A Realistic Perspective\, <strong id="docs-internal-guid-f5fd21cf-7fff- f967-63de-a71d78cf4d50">Professor San Murugesan</strong></strong></strong> </p>\n<p dir="ltr">In just two years\, Generative AI (GenAI) has emerged a s one of the most transformative technologies\, revolutionizing industries \, businesses\, and personal interactions with its unprecedented capabilit ies in content creation\, coding\, and advisory services. This talk will e xplore GenAI's dual nature&mdash\;its extraordinary potential and the sign ificant risks it poses. We aim to provide participants with a balanced und erstanding of GenAI\, empowering them to harness its power while effective ly managing associated risks.&nbsp\;We'll begin by highlighting applicatio ns for which GenAI is particularly well-suited and showcasing innovations reshaping sectors such as healthcare\, education\, business\, research\, a nd design. We will also address GenAI's limitations\, including its relian ce on vast data sets\, its potential to generate biased or misleading info rmation\, and its ongoing technical challenges.</p>\n<p dir="ltr">The disc ussion will then shift to broader concerns\, including ethical dilemmas\, security vulnerabilities\, and GenAI's societal impact. We'll also examine legal and regulatory issues\, focusing on evolving frameworks around resp onsible AI-generated content\, copyright\, and regulations to mitigate Gen AI's risks. Understanding and addressing these issues is not just a necess ity\, but a responsibility that we\, as technology professionals\, must up hold.&nbsp\;Finally\, we will explore GenAI's impact on cybersecurity&mdas h\;both as a tool for enhancing defenses and as a potential vector for new threats. We&rsquo\;ll also discuss emerging GenAI trends and how business es and professionals can prepare for the GenAI era</p>\n<p><strong id="doc s-internal-guid-c847b1b5-7fff-0aec-a8bb-12fcc1c498fb">Accelerating Code Co ntribution with CodeBaseBuddy's Intelligent Semantic Search System\, <stro ng id="docs-internal-guid-fdc317a5-7fff-2c9a-8ecb-4108826d46cf">Raghavan M uthuregunathan</strong></strong></p>\n<p>Navigating and contributing to ne w codebases is a daunting challenge\, especially for newcomers to open-sou rce projects. Unlock the power of efficient code contribution with CodeBas eBuddy\, a tool that's helping how developers tackle unfamiliar repositori es. In this talk\, we'll dive into the innovative combination of Retrieval Augmented Generation (RAG)\, Codestral\, and Ollama to create a privacy-p reserving\, locally deployable semantic code search solution. Discover how this system accelerates onboarding\, reduces errors\, and enhances commun ity engagement in open-source projects. CodeBaseBuddy provides step-by-ste p guidance and specific pointers for modifying files\, transforming the ex perience of working with complex codebases. Whether you're a seasoned deve loper or new to the field\, you'll learn how this tool can streamline your coding process and boost productivity. Join us to explore the future of c ollaborative coding and see firsthand how CodeBaseBuddy is making intricat e codebases more accessible than ever before.</p>\n<p><strong>Panel Discus sion - AI and Social Media</strong></p>\n<p>The convergence of artificial intelligence (AI) and social media has revolutionized the way businesses e ngage with their audience. By leveraging AI\, companies can perform advanc ed audience analysis and optimize their content to maximize engagement. Ho wever\, the same technology has also accelerated the spread of misinformat ion\, highlighting the need for a balanced approach that weighs both the b enefits and ethical risks.The panel will address critical questions around the benefits and impact of AI integration\, the challenges of implementat ion\, the opportunities for innovative applications\, and the future trend s shaping this rapidly evolving field. By bringing together experts from a cademia and industry\, this discussion aims to shed light on strategic dec ision-making and policy development\, offering valuable insights into the far-reaching implications of AI and social media convergence.</p>\n<p dir= "ltr">&nbsp\;</p>\n<p>&nbsp\;</p><br /><br />Agenda: <br /><p><strong>Agen da</strong></p>\n<p>09:00 -10:00 am:&nbsp\;<strong>Quantum Gate Neural Net works</strong></p>\n<p>10:00 am - 11:00 am:&nbsp\;<strong>Panel Discussion - AI and Social Media</strong></p>\n<p>11:00 - 12:00 pm <strong>Accelerat ing Code Contribution with CodeBaseBuddy's Intelligent Semantic Search Sys tem</strong></p>\n<p>12:00 - 01:00 pm <strong>Digital twin in Aerospace Su pply chain</strong></p>\n<p>01:00 - 2:00 pm&nbsp\;<strong>Enabling Perform ance-Efficient GenAI at the Edge Through Quantization</strong></p>\n<p>2:0 0 - 3:00 pm&nbsp\;<strong>The Power and Perils of Generative AI: A Realist ic Perspective</strong></p>\n<p>&nbsp\;</p> END:VEVENT END:VCALENDAR