Mobile sensors are often used in health to track and monitor health, ranging from daily activities to diagnosing life-threatening conditions; however, they are underutilized for substance use and its disorders. Our work is focused on developing digital biomarkers from the physiological data captured from wearable devices for addiction. Specifically, we build models that combine the multimodal sensor data from wearable devices to detect drug administration, predict drug-induced mental states such as drug craving and euphoria. We further show that integrating drug pharmacokinetics into these data-driven models enhances the accuracy of drug monitoring, thereby increasing the generalizability and trust. A consistent pattern observed among these models was bias based on drug-usage history; therefore, we develop a model that screens users and distinguishes opioid misusers from prescription users, which would allow for more accurate prescription of opioids, minimizing the risk of addiction. Co-sponsored by: Media Partner: Open Research Institute (ORI) Speaker(s): Bhanu T. Gullapalli, Agenda: - Invited talk from (https://www.linkedin.com/in/bhanu-teja-gullapalli/), PhD Candidate at the University of California San Diego. - Q/A Session Virtual: https://events.vtools.ieee.org/m/422258

[]Join us for an insightful session on the latest advancements in blockchain technology, featuring two distinguished speakers. Professor Daswin De Silva will delve into "Blockchain and AI for Industrial Applications," exploring the synergistic potential of blockchain and AI to drive industrial innovation. Associate Professor Yuhong Liu will present on "Facilitating Security and Trust among Multiple Parties through Blockchain Techniques," discussing the adoption of multi-signature schemes in blockchain to enhance security and efficiency. Speaker(s): Daswin, Yuhong Agenda: 6:00 PM: Door opens, Pizza, snacks and networking 6:30 PM: Welcome and Introduction 6:40 PM: Session by Prof. Daswin De Silva - "Blockchain and AI for Industrial Applications" 7:20 PM : Q&A Session with Professor Daswin 7:30 PM: Short Break 7:40 PM: Session by Assoc. Prof. Yuhong Liu - "Facilitating Security and Trust among Multiple Parties through Blockchain Techniques" 8:20 PM: Q&A Session with Prof. Yuhong 8:30 PM: Closing Remarks ActionSpot, 453 W San Carlos St , San Jose, California, United States, 95110, Virtual: https://events.vtools.ieee.org/m/422199

This event will be available live at SEMI, as well as over Zoom. Get to SEMI by 6:30pm to network – and enjoy great pizza and refreshments! All attendees MUST register using the Eventbrite form (see link). Netflix’s journey in enhancing its machine learning capabilities led to the creation of Axion, a revolutionary fact store that is designed to optimize the quality and accessibility of data for machine learning algorithms. This talk will delve into the evolution of Axion, highlighting its critical role in advancing Netflix’s recommendation systems. It will also explore the challenges faced in managing and utilizing large-scale data, and how Axion’s innovative architecture addresses these challenges. You will gain insights into the technical intricacies of Axion, including its four main components: (1) the fact-logging client, (2) ETL (extract, transform, load), (3) the query client, and (4) the data quality infrastructure. You will learn about the unique approaches employed by Axion for data logging, transformation, and querying that ensure efficient and reliable data access for its sophisticated machine learning architecture. Speaker(s): Tejas Chopra, 567 Yosemite Dr, Milpitas, California, United States, 95035, Virtual: https://events.vtools.ieee.org/m/414925