This event features top executives from around the world who describe the burning issues surrounding Artificial Intelligence (AI) and how to solve our immediate problems, focusing on these core areas: - Al applications and their required infrastructure - Silicon to support Al applications - Systems to support Al applications - Security & Standards The event is focused on Industry needs. We welcome and encourage Executives, Managers, and Line Engineers in Industry to participate in IEEE WTS2024. Also, AI Researchers, members of the AI Product Development, Marketing, and Support Communities. In addition, Legislators, Regulators, and Government Agency Personnel will also find it useful to participate. Of course, we also invite our IEEE Members to engage in this program. Attendees will come away with increased understanding of challenges and solutions in providing the infrastructure needed to support the fast-growing AI industry. Agenda: TUESDAY November 12 Sponsors Executive Session Event Reception WEDNESDAY November 13 Morning: Welcome & Keynote AI Applications Applications utilizing Artificial Intelligence are growing rapidly but to enable them the suitable infrastructure must be there. Key growing areas including Large Language Models, Medical applications (consumer and professional), Electronic Design Automation, and Digital Twins are greatly influencing the requirements for infrastructure. This session will examine these and other topics to understand their possible growth and infrastructure needs. Afternoon: Silicon The underlying silicon is a critical enabler for computing in Artificial Intelligence and its infrastructure. This session illustrates multiple perspectives on challenges in silicon technologies for AI/ML and its impact on AI/ML solutions. We will consider different aspects including silicon architectures, development and verification challenges, packaging, and aspects of energy consumption and cooling. THURSDAY November 14 Morning: Systems Although there are many elements to providing AI solutions from servers to edge to client, one of the key current challenges rests in the server technology. Servers provide the backbone necessary for complex computation and data management that AI needs to provide its services. Both power and cooling are critical elements that if not available and managed, we will not be able to provide the computational power needed to make them happen. This session considers the challenges spanning from server to edge to client, but the primary focus is keeping the servers operating. Afternoon: Security & Standard There are concerns about risks involving both the development and use of AI. Everyone working on AI Infrastructure needs to be mindful of these concerns. With respect to Security, this session considers cybersecurity risks affecting the computation involved in providing AI products and services and also possible adverse impacts from the use or abuse of AI. With respect to Standards, this session includes work by IEEE on the development of standards for AI and also covers international, national, and state government activity to create laws and regulations to guide and control AI. Updated details are available at (https://wts.ieee.org/) Bldg: San Jose Convention Center, 150 W San Carlos St, San Jose, California, United States, 95113

Small Unmanned Aerial Systems (sUAS) must be monitored closely to identify, diagnose, and potentially mitigate flight problems as they arise. During the flight, the vast amounts of multivariate time series data typically generated by sUAS flight controllers can be complex to understand and analyze. While formal product documentation often provides example data plots with diagnostic suggestions, the sheer diversity of attributes, critical thresholds, and complex data interactions can be overwhelming to non-experts who subsequently seek help from discussion forums to interpret their data logs. Solutions based on deep learning or heuristics can be used to detect anomalies in different time-series data attributes. However, understanding and mitigating the root cause of flight problems based upon the combination of multiple detected data anomalies requires significant domain expertise. To address these challenges, this talk will present approaches that leverage deep learning and heuristic methods to detect anomalies in flight data, both for real-time and post-flight analysis. Additionally, it will explore how the combination of multiple detected anomalies can be utilized to diagnose the root cause of the flight issue. The solutions proposed aim to simplify the anomaly detection process while providing a more systematic approach for diagnosing complex flight behaviors. Co-sponsored by: Media Partner: Open Research Institute (ORI) Speaker(s): Md Nafee Al Islam Agenda: - Invited talk from Assistant Prof. Md Nafee Al Islam , from the University of San Diego. - Q/A Session Virtual: https://events.vtools.ieee.org/m/442925

This is a hybrid in-person and online event. Pre-registration is required for either. PLEASE NOTE: This talk replaces our earlier SCORE talk which needed to be cancelled. This talk will explore the evolution of traditional data warehouses into modern lakehouses, driven by advancements in AI and machine learning (ML). Included will be an examination of the limitations of first-generation data warehouses, which were optimized for structured data and batch processing, but which struggled with the unstructured, real-time data required for AI applications. These warehouses have evolved into data lakes to support the increased demands of AI/ML workloads, while addressing their challenges for business intelligence (BI). In this talk, Suresh Bysani will describe the lakehouse architecture, which integrates the best of data lakes and warehouses by offering a unified platform for real-time analytics and ML. The talk will also dive into the latest in-product analytics development, as well as how AI-driven queries are reshaping how organizations provide insights directly through their products by leveraging AI for more interactive and intelligent decision-making. Speaker(s): Suresh Bysani, 673 South Milpitas Blvd., Milpitas, California, United States, 95035, Virtual: https://events.vtools.ieee.org/m/440391