IEEE Region 5

The IEEE Central Texas CASS & SSCS JT. Chapter, Circuits And Systems Society Outreach Program, Silicon Laboratories Present: Feed Your Mind - Practical Aspects of Machine Learning Circuits and Systems What is behind the buzzwords Machine Learning, Artificial Intelligence? In this lecture Prof. H. Li and A. Sanyal will present practical aspects applied to circuits and systems solutions for everyday's life. AI Models for Edge Computing: Hardware-aware Optimizations for Efficiency Abstract: As artificial intelligence (AI) transforms various industries, state-of-the-art models have exploded in size and capability. The growth in AI model complexity is rapidly outstripping hardware evolution, making the deployment of these models on edge devices remain challenging. To enable advanced AI locally, models must be optimized for fitting into the hardware constraints. In this presentation, we will first discuss how computing hardware designs impact the effectiveness of commonly used AI model optimizations for efficiency, including techniques like quantization and pruning. Additionally, we will present several methods, such as hardware-aware quantization and structured pruning, to demonstrate the significance of software/hardware co-design. We will also demonstrate how these methods can be understood via a straightforward theoretical framework, facilitating their seamless integration in practical applications and their straightforward extension to distributed edge computing. At the conclusion of our presentation, we will share our insights and vision for achieving efficient and robust AI at the edge. Health management using intelligent wearables with mixed-signal AI Abstract: As medical wearables become more widely adopted for at-home/early diagnosis/health surveillance, the volume of data produced by these devices are expected to reach thousands of petabytes/month. Transmitting this large volume of data over the cloud for processing will potentially emerge as a communication bottleneck and increase latency of decisions. Transmitting naively all data generated by a wearable medical device is also costly in terms of power/energy- transmitter is usually the highest consumer of energy in a sensor (at least 10~20x more energy than sensing). Key to addressing this data deluge is to increase capabilities of the wearable devices to process information locally and have on-device inference capabilities, such as through embedding AI capabilities into the wearable device that will allow extraction of key information from the sensor data. There needs to be balance between what can be processed locally on-device with low power/energy and how to optimally decide the volume of data communication from the device (to cloud as an example). The barriers to this approach lie in the computational complexity of AI algorithms that makes it challenging to fit AI models on wearables with limited resources. Some of the answers might lie in going back to early days of signal processing in silicon – developing analog circuit techniques for AI development which will require collaborative innovations in both AI model development and analog circuit design techniques. In this talk, I will present our research on developing analog AI circuits and their demonstrations with patient data with use cases from cardiovascular health monitoring and sepsis onset detection. Co-sponsored by: Mikko Sojonen - Silicon Labs Speaker(s): Helen Li, Arindam Sanyal Agenda: Program: - Introduction Dr. S. Pietri (NXP) and J. Elenes (Silabs)= 10 – 10:15 am - Dr. Hai "Helen" Li (Duke University) lecture= 10-11:15 am - Break= 11:15 – 11:45 am (chapter will provide pizza and soda) - Dr. Arindam Sanyal (Arizona State University) lecture= 11:45 – 1:00pm Bldg: Silicon Labs, 200 W. Cezar Chavez, Austin, Texas, United States, 78701

The Professional Cloud Architect (PCA) journey is a challenging but beneficial pathway to a thorough understanding of cloud architecture and Google Cloud, you will be able to design, develop, and manage robust, secure, scalable, highly available, and dynamic solutions to drive business objectives. With the proper approach and training strategy, you will gain proficiency in the core aspects of GCP enterprise cloud strategy, solution design, and architectural best practices to drive business outcomes. What: We are scheduling 10 sessions to share the certification process, experience, and tips for success. Who: This cohort will be led by Atul Kumar (Ex-Googler, Industry veteran with 30+ years of global industry experience, mentor, and a good friend) When: 10 Tuesdays (6/04, 6/11, 6/18, 6/25, 7/02, 7/09, 7/16, 7/23, 7/30 and 8/6) from 4:00 to 5:00 pm PST Where: Zoom or Google Meet, an invite will be shared with committed participants What will be covered: - · PCA Certificate Strategy, Process, and Approach for Success - · Tips, Tricks and Pitfalls - · Various Resources e.g. Skillboost, Prep Sheets - · Exam Guide - · Review Case Studies - ·. and more... Speaker(s): Atul Kumar Agenda: Every Tuesday from 4 to 5 pm PDT Virtual: https://events.vtools.ieee.org/m/416610

Emotional Intelligence is one of the human power skills that is more in demand today than ever. Leaders that excel at EQ are going to be the ones most sought after and indispensable in organizations. In this talk we will - Build a clear understanding of the Emotional Intelligence Model - Help you to understand your responses and how your mindset and emotions have an impact Speaker(s): Nikki Evans Agenda: IEEE-USA's free webinars/events are designed to help you find your next job, maintain your career, negotiate an appropriate salary, understand ethical considerations in the workplace and learn about other career-building strategies and public policy developments that affect your profession. For information regarding upcoming webinars or to visit our vast webinar archive, please visit: (https://ieeeusa.org/careers/webinars/) (https://newsletter.smartbrief.com/rest/sign-up/2479DAB0-4089-43E7-925D-86AE0C1E6244?campaign=e0d52cef) Virtual: https://events.vtools.ieee.org/m/409083

Monthly Lone Star Section Executive Committee Meeting Room: CR 1.102, Bldg: 168, Southwest Research Institute, 6220 Culebra Road, San Antonio, Texas, United States, 78238, Virtual: https://events.vtools.ieee.org/m/395064