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

[]Predictions have always attracted interest, because seeing the future could be useful, powerful, and fun. Those who can predict are ahead of others — they have a strategic advantage. Predictions are essential in business, technology, and science. With COVID and recent wars, predictions became critical to humankind’s survival. However, predictions are also very hard because they depend on many factors, including technological, economic, social, and ecological. Technology predictions may be simplest, but technology also depends on business, i.e. economics. Teams in the IEEE Computer Society and IEEE Future Directions Committee (FDC), led by the presenter, have conducted technology predictions for more than a decade. FDC has identified three key megatrends: digital transformation, sustainability, and artificial general intelligence. Our predictions have gained a lot of interest in the community, resulting in annual press releases, five special issues of IEEE Computer, and quarterly columns. Speaker(s): Dejan Milojicic, Virtual: https://events.vtools.ieee.org/m/432927

[] The IEEE EPS (SCV, SF, OEB) is excited to be hosting a 'Meet & Greet' (an in-person event in Milpitas, CA) for those in the fields of semiconductor packaging. This is a unique opportunity for the packaging professionals in the Valley to find out more about our committees, hear about upcoming events (online and in-person), connect and network with local experts in materials, advanced packaging, production, and reliability. The organizers also plan to have quickfire presentations/discussions on some of the enabling technologies that have helped and will continue to spur the evolution of AI around us. The topics for discussion include Heterogeneous Integration, Hybrid Bonding, Build-Up Substrates and Quantum Computing. We'll also touch on some aspects of IEEE Membership, its benefits, opportunities for Member Elevation, and guidance if one were interested to pursue becoming a Senior Member. Food and drinks will be served -- come enjoy this time together! SEMI World Headquarters, 673 South Milpitas Blvd, Milpitas, California, United States, 95035

Autonomy has become ubiquitous in every aspect of daily life. Today's society is rapidly advancing towards autonomous vehicles that interact with humans; and we are witnessing significant progress in development of autonomous vehicles for many applications (unmanned aerial systems, space robots, self-driving cars, etc). The safety-critical nature of these systems requires us to provide simple, easy-to-test approaches that are not necessarily the best in terms of performance. In this talk, I will share my experiences, learned-lessons during the development of several autonomy projects ranging from full-scale autonomous Boeing helicopters, Mars rovers, Tesla self-driving cars to Airbus airplanes. These autonomous vehicles operate on a different spectrum of environmental conditions such as aerial, space, and urban cities. Also, these vehicles have different capacity and limitations of hardware resources which restrict the set of methods that can be implemented for real-time execution. I will conclude my talk with an overview of videos, results from successful demonstrations. Speaker(s): Dr. Arslan Agenda: 6:00 - 6:30 - Networking and light dinner (for in person attendees) 6:30 - 7:30 - Talk and Q & A 7:30 - 8:00 - Wrap up and Networking Room: 225, Bldg: Heafey , Santa Clara University, 500 El Camino Real , Santa Clara , California, United States, 95053, Virtual: https://events.vtools.ieee.org/m/442447

Abstract: Product reliability is a function of effective usage and applied stress (both operational and environmental) conditions. In real life, both usage and stress levels are not fixed, but random variables; i.e., they are statistically distributed. During engineering life test design, people often pick the high percentiles for population usage and stress level as the field reference for the sake of conservativeness and safety margin, such as 90th percentile, 95th percentile, or even 99th percentile. This often yields very ambitious and even unrealistic test sample size and/or test duration requirements because the majority (say 90% or higher) of users in the field are assumed to be operating under extreme usage and stress conditions. The question often comes up as to which usage and stress percentile is the appropriate choice so that the overall population reliability is assured. Is it mean, median, or some other percentile (such as 60%, 70%, etc.)? This talk is trying to answer that question by introducing the so-called Reliability Equivalence Principle, and then presenting the analytical expression of reliability-equivalent reference usage and stress value so that the same reliability target can be achieved at the population level. Numerical example is given to illustrate the advantage of the method for reliability life test design over the traditional practice, especially for a high-reliability product. Co-sponsored by: SRE Society of Reliability Engineers Speaker(s): Frank Sun Room: Laural Room, Bldg: Senior Center, 550 E Remington Drive, Sunnyvale Community Center, Sunnyvale, California, United States, 94087