Events

IEEE Women in Engineering Oregon Section Affinity Group is organizing a panel titled "Thriving in an AI & Emerging Tech World: Opportunities and Challenges for Women Engineers" to celebrate IEEE WIE Day. This engaging and timely discussion will examine how automation, artificial intelligence, digital transformation, and other emerging technologies are reshaping engineering roles and redefining […]

Advances in flexible, deployable, and deformable structures and sensors require efficient simulation tools that capture nonlinear geometry and material behavior. We propose a machine learning (ML) approach using neural networks (NN) to simplify simulations, enabling the creation of digital twins and facilitating sim-to-real transfer in structural mechanics. This talk presents a case study using neural […]

We are excited to continue the Orange County Computer Society (OCCS) Global Emerging Technologies (GET) Series—a monthly platform dedicated to spotlighting transformative innovations in computer science and technology. Hosted by the IEEE Orange County Computer Society Chapter, this series unites professionals, students, and tech enthusiasts to explore the cutting edge of what’s possible. Following a […]

Generic Large Language Models (GLLMs) are continually being released with increased size and capabilities, enhancing the capabilities of these tools as universal problem solvers. While the reliability of GLLMs' responses is questionable in many situations, these models are often augmented or retrofitted with external resources for various applications, including cybersecurity. The talk will discuss major […]

A System of Systems for Cognitive Decision-Making Decision-making is a task that an average person does about 300 to 400 times a day. Most decisions are minor but there are some that are of great importance, that the decision can have great impact. The Butterfly Effect states that a small action in one part of […]

IEEE Senior Membership Elevation & Networking Event Hosted by the IEEE Santa Clara Valley Section Join us for a special IEEE Senior Membership Elevation and Networking Event designed to support eligible IEEE members in advancing to Senior Member grade — the highest IEEE membership level that can be achieved through application. At this event, you'll […]

[]Ensuring hardware system reliability is increasingly critical in the evolving AI landscape, particularly within data centers. Drawing upon extensive experience leading reliability initiatives for cutting-edge hardware, this presentation will outline a general methodology for designing reliable complex AI systems. It will emphasize the necessity of a multidisciplinary approach, integrating model-based system engineering, rigorous reliability testing, […]

This talk addresses modern approaches to image and video compression through the lens of energy-efficient hardware design. Traditional codecs like JPEG and H.264 are increasingly being challenged by learned compression techniques based on deep neural networks, particularly autoencoders. While these methods offer state-of-the-art performance in rate-distortion trade-offs, their deployment in real-world systems depends critically on […]

The SFBAC (combined Santa Clara Valley, San Francisco, & Oakland/East Bay) IEEE Power Electronics Society (PELS) is very pleased to invite you to our upcoming in-person event celebrating PELS DAY. We are excited and honored to have Dr. Indumini Ranmuthu, Distinguished Member Technical Staff of the Texas Instruments and the IEEE Power Electronics Society Regional […]

As Moore’s Law is slowing down and eventually approaching an end for conventional CMOS, new platforms for producing circuit-level innovation are desired. At the same time, it is not desirable to throw away the existing Si-CMOS infrastructure to start new. This talk presents an overview of the 10-year research program, which is a “vertical” innovative […]

A talk by Prof. Min-Fu Hsieh of National Cheng Kung University (NCKU), Tainan Taiwan, exploring the integration of AI in diagnosing motor faults and advancing motor design, highlighting how AI can significantly enhance the reliability and performance of electric motors in green transportation. It will delve into the use of machine learning and deep learning […]