This is a hybrid in-person and online event. Pre-registration is required for either. The holy grail of medical diagnostics is a test that is accurate, sensitive, non-invasive, and inexpensive. For solid tumors such as pancreatic cancer and for many neurological diseases, current diagnostics come too little, too late. An exciting direction of research in this field relates to exosomes, tiny biological nanoparticles around 100 nm in size. There are trillions of them in our body, carrying a massive amount of valuable information about the health—or disorder—of our organs. They are, however, so small that they had eluded detection until quite recently. In this talk, Dr. Giacomo Vacca will discuss the challenges, and the promise, of exosomes in biomedical diagnostics. He will show how their abundance is a fantastic opportunity to use them as biomarkers—if you can detect them. As the attention of both technologists and researchers has focused on them, new tools have emerged, enabling new scientific findings—and the tantalizing possibility of much more powerful biomedical diagnostics. Speaker(s): Giacomo Vacca 925 Thompson Place, Sunnyvale, California, United States, 94085, Virtual: https://events.vtools.ieee.org/m/514921

[]The rapid rise in power density and complexity of electronic systems has made thermal management a critical challenge for ensuring reliability, performance, and sustainability. Artificial Intelligence (AI) offers transformative opportunities to address this challenge by enabling data-driven modeling, optimization, and predictive control of cooling systems. By integrating AI with experimental and physics-based approaches, adaptive models can be developed to capture transient thermal behaviors, and optimize system-level energy efficiency. This forms the foundation for digital twins, virtual replicas that continuously interact with their physical counterparts to provide system specific real-time monitoring, and data driven decision support. In this talk, I will present recent and ongoing research activities at ES2 Binghamton on AI-enabled thermal management design, with emphasis on cooling solutions for high-power chips in data centers. I will further highlight how these developments serve as a pathway towards creating digital twins, dynamic virtual replicas that integrate real-time data, physics, and AI to enable system-level monitoring, prediction, and optimization. Together, these advancements pave the way for reliable, energy-efficient, and sustainable electronic systems. Speaker(s): Srikanth Rangarajan, Virtual: https://events.vtools.ieee.org/m/504510

[] Requirements on the high-performance compute (HPC) systems from AI workloads necessitates transition to larger package sizes with 2.5D to 3.5D integration and density scaling at every level in the stack. Several competing packaging architectures are emerging to solve the compute and power efficiency challenge presented by AI workloads. Each presents unique lithography challenges such as >100×100 field size, large chip placement deviations, fine lines and tight overlay warped substrates. The conventional lithography tools are incapable of meeting all the requirements to achieve scaling. The talk will preview Applied Materials’ Digital Lithography Technology (DLT) which enables highest resolution at production throughputs while ensuring CD uniformity and overlay accuracy across the entire panel. Speaker(s): Niranjan Khasgiwale, Virtual: https://events.vtools.ieee.org/m/502777

[] Inferencing has become ubiquitous across cloud, regional, edge, and device environments, powering a wide spectrum of AI use cases spanning vision, language, and traditional machine learning applications. In recent years, Large Language Models (LLMs), initially developed for natural language tasks, have expanded to multimodal applications including vision speech, reasoning and planning each demanding distinct service-level objectives (SLOs). Achieving high-performance inferencing for such diverse workloads requires both model-level and system-level optimizations. This talk focuses on system-level optimization techniques that maximize token throughput , achieve user experience metrics and inference service-provider efficiency. We review several recent innovations including KV caching, Paged/Flash/Radix Attention, Speculative Decoding, P/D Disaggregation, KV Routing and Parallelism, and explain how these mechanisms enhance performance by reducing latency, memory footprint, and compute overhead. These techniques are implemented in leading open-source inference frameworks such as vLLM, SGLang, Hugging Face TGI, and NVIDIA’s TensorRT-llm, which form the backbone of large-scale public and private LLM serving platforms. Attendees will gain a practical understanding of the challenges in delivering scalable, low-latency LLM inference, and of the architectural and algorithmic innovations driving next-generation high-performance inference systems. Virtual: https://events.vtools.ieee.org/m/516797

Student Branch Event for members of the CSU East Bay Branch only. If you want to carpool to the venue, meet at Campus parking lot F at 9:00 am. Otherwise drive yourself to the CHM. Free only for student members at CSUEB. You must register to attend. Computer History Museum, 1401 N Shoreline Blvd., Mountain View, California, United States, 94043

The Product Safety Engineering Society Bay Area Joint Section Chapter (SCV/SF/OEB) invites you to a virtual meetup of professionals interested in product safety and compliance. We will discuss the future of the chapter and plan future events. Agenda: - Business Meeting - Plan future activity of the chapter - New Officer Elections Virtual: https://events.vtools.ieee.org/m/518446

[]Join us for this virtual meeting! This event brings together two focused talks that connect the architecture of AI in Blockchain/Web3 with practical career guidance for professionals entering this fast-growing space. The first talk explores how intelligent systems are designed, evaluated, and governed in blockchain and fintech environments. The second outlines the skills, roles, and pathways for building a successful AI career in the Blockchain ecosystem. Together, they provide a clear view of where the industry is heading and how to prepare for it. Speaker(s): Raj Karan Gunukula , Revanth Reddy Airre Virtual: https://events.vtools.ieee.org/m/520440