Important: Please use your Zoom account (create one if you don’t have) to register for the virtual event. https://sjsu.zoom.us/meeting/register/tZYvc-ygpzwqHd0I34ZDpWy2-9Sot_910anP Join us for the Third International Conference on Applied Data Science (ICADS 2024) , organized by the IEEE Computer Society of Santa Clara Valley. This virtual event brings together global innovators in data science to share cutting-edge research and practical applications. With keynote sessions, interactive workshops, and panel discussions covering topics related to GenAI and its application. ICADS 2024 offers a dynamic platform for innovation and collaboration. Don’t miss this opportunity to connect with experts and advance the field of data science. Quantum Gate Neural Networks, Dr Siddhartha Bhattacharyya, India This talk is centered around the introduction to the implementation of neural networks in quantum computing frameworks. The talk starts with a brush-up on the operational principles of classical neural networks, followed by the TensorFlow Quantum Framework (TQF) – the basic building block of Quantum Neural Networks (QNNs). Then it delves into the details of Parameterized 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. Digital twin in Aerospace Supply chain, Amit Dubey In this cutting-edge 1-hour workshop, we delve into the transformative potential of digital twin technology enhanced by machine learning in the aerospace supply chain. As the industry faces unprecedented challenges and opportunities, this session explores how this powerful combination is reshaping supply chain management, offering unparalleled improvements in efficiency, predictive maintenance, and decision-making processes using data science. Enabling Performance-Efficient GenAI at the Edge Through Quantization, Dwith Chenna The widespread adoption of Generative AI (GenAI) applications has sparked a revolution in the development 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 optimization at the edge. Quantization has emerged as a crucial technique, offering significant performance gains in computation and memory usage. In this presentation, we will delve into modern quantization techniques that facilitate the deployment of GenAI applications, such as large language models (LLMs), at the Edge. We will explore popular methods including AWQ, SmoothQuant, and Block Quantization, examining their trade-offs and optimizations. Using popular open-source models like Llama, OPT and Mistral, along with Llama.cpp, a well-regarded C++ implementation, as case study, we will analyze the impact of quantization on model performance for achieving overall efficiency in GenAI deployments. The Power and Perils of Generative AI: A Realistic Perspective, Professor San Murugesan In just two years, Generative AI (GenAI) has emerged as one of the most transformative technologies, revolutionizing industries, businesses, and personal interactions with its unprecedented capabilities in content creation, coding, and advisory services. This talk will explore GenAI’s dual nature—its extraordinary potential and the significant risks it poses. We aim to provide participants with a balanced understanding of GenAI, empowering them to harness its power while effectively managing associated risks. We’ll begin by highlighting applications for which GenAI is particularly well-suited and showcasing innovations reshaping sectors such as healthcare, education, business, research, and design. We will also address GenAI’s limitations, including its reliance on vast data sets, its potential to generate biased or misleading information, and its ongoing technical challenges. The discussion 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 responsible AI-generated content, copyright, and regulations to mitigate GenAI’s risks. Understanding and addressing these issues is not just a necessity, but a responsibility that we, as technology professionals, must uphold. Finally, we will explore GenAI’s impact on cybersecurity—both as a tool for enhancing defenses and as a potential vector for new threats. We’ll also discuss emerging GenAI trends and how businesses and professionals can prepare for the GenAI era Accelerating Code Contribution with CodeBaseBuddy’s Intelligent Semantic Search System, Raghavan Muthuregunathan Navigating and contributing to new codebases is a daunting challenge, especially for newcomers to open-source projects. Unlock the power of efficient code contribution with CodeBaseBuddy, a tool that’s helping how developers tackle unfamiliar repositories. In this talk, we’ll dive into the innovative combination of Retrieval Augmented Generation (RAG), Codestral, and Ollama to create a privacy-preserving, locally deployable semantic code search solution. Discover how this system accelerates onboarding, reduces errors, and enhances community engagement in open-source projects. CodeBaseBuddy provides step-by-step guidance 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 collaborative coding and see firsthand how CodeBaseBuddy is making intricate codebases more accessible than ever before. Panel Discussion – AI and Social Media The convergence of artificial intelligence (AI) and social media has revolutionized the way businesses engage with their audience. By leveraging AI, companies can perform advanced audience analysis and optimize their content to maximize engagement. However, the same technology has also accelerated the spread of misinformation, highlighting the need for a balanced approach that weighs both the benefits and ethical risks.The panel will address critical questions around the benefits and impact of AI integration, the challenges of implementation, the opportunities for innovative applications, and the future trends shaping this rapidly evolving field. By bringing together experts from academia and industry, this discussion 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. Speaker(s): Amit Dubey, Professor San Murugesan, Dwith Chenna, Dr. Siddhartha Bhattacharyya, Vipul Bharat Marlecha, Aqsa Fulara, Anupam Mukherjee, Raghavan Muthuregunathan, Meenal Nalwaya Agenda: Agenda 09:00 -10:00 am: Quantum Gate Neural Networks 10:00 am – 11:00 am: Panel Discussion – AI and Social Media 11:00 – 12:00 pm Accelerating Code Contribution with CodeBaseBuddy’s Intelligent Semantic Search System 12:00 – 01:00 pm Digital twin in Aerospace Supply chain 01:00 – 2:00 pm Enabling Performance-Efficient GenAI at the Edge Through Quantization 2:00 – 3:00 pm The Power and Perils of Generative AI: A Realistic Perspective Virtual: https://events.vtools.ieee.org/m/430463