The intersection of Radio Frequency Identification (RFID) with Artificial Intelligence (AI) and Machine Learning (ML) introduces new possibilities for data analysis, automation, and decision-making.
Machine Learning and Artificial Intelligence is undergoing an accelerated pace of innovation. The sessions to held at RFID Journal LIVE! will cover topics including The Digital Transformation in Healthcare Using NFC Sensor Interface Chip and Artificial Intelligence and Machine Learning: Putting the “Smart” in RFID and Sensor Applications.
Below is the schedule for Machine Learning and Artificial Intelligence sessions being held on April 10 in room 357.
The Digital Transformation in Healthcare Using NFC Sensor Interface Chip
Time: 9:35-10:15 a.m.
Speakers: Dr. Bodin Kasemset, CEO, Silicon Craft Technology
Session Description: Healthcare revolutionizes with the integration of advancements in technology like NFC (Near Field Communication) and electrochemical sensing into affordable, battery-free, user-friendly, digitized point-of-care testing, thereby enhancing healthcare accessibility and efficiency for both human and animal populations worldwide.
Siemens Healthineers Automates Visibility with Artificial Intelligence and Machine Learning
Time: 10:25-11:05 a.m.
Speakers: Ben Sperling, Vice President, Enterprise Intelligence Solutions, Siemens Healthineers
Session Description: Global medical device and solutions provider Siemens Healthineers is leveraging BLE and radio cloud-based sensors to provide room-level data about a hospital’s asset location and status. The system enables the firm to offer a real-time location system (RTLS) for tracking mobile assets at healthcare facilities, as well as utilizing the RTLS data as part of its own biomedical services for hospitals. The technology, which includes artificial intelligence and machine learning, is being used to identify the specific room in which each asset is located, with only BLE beacons as the solution infrastructure. Learn how the use of the solution is reducing labor costs previously spent by employees searching for assets, as well as decreasing preventative maintenance costs by tracking each asset’s servicing and history and reducing the amount of equipment needed.
Artificial Intelligence and Machine Learning: Putting the “Smart” in RFID and Sensor Applications
Time: 11:15-11:55 a.m.
Speakers: Dr. Ismail Uysal, Associate Professor, University of South Florida
Session Description: Artificial intelligence (AI) and machine learning (ML) technologies represent an important evolution in computer science and data processing that is quickly transforming multiple industries. In this session the presenter will discuss some of their novel applications to RFID and wireless sensor networks. On the healthcare side, we will discuss how simple and cost-effective sensors can be used to reliably predict patient falls and detect human activities. On the smart agriculture side, we will talk about how real-time sensors can be used to improve the harvest quality by automatically controlling and optimizing the soil conditions such as moisture content and conductivity. On the transportation side, we will explore how wireless temperature loggers can be used to ensure optimal precooling conditions as well as provide unprecedented insight into the transport conditions of perishable produce to predict instantaneous and future marketability of products. On the passive RFID side, we will discuss how straightforward ML tools can be used for grid localization with passive RFID tags using simple read rate and RSSI measurements even when there are metal obstacles on the grid.
Testing and Quality Control
Time: 12:05-12:45 p.m.
Speakers: Doug Harvel, Senior IT Distribution Analyst/Consultant, RFID Consulting
Session Description: It is critical, once an RFID system is deployed, that it functions as designed. Failure to read 100 percent of tags, in some cases, can mean disrupting a manufacturing line, which costs a company money. In this session, the presenter will discuss the steps required to ensure that tags are read 100 percent of the time, and that the system functions properly.
Keynote Speakers
New for 2024, the keynotes will take center stage on Tuesday, April 9 hosted on the LIVE! Immersive Stage—an interactive platform situated as the focal point within the expo hall. This stage will not only host the enlightening keynotes but showcase immersive product demonstrations and the prestigious RFID Journal Awards.
The conference kicks off with an Opening Keynote – “Disruptive Technologies: The Future is Now.” This enlightening panel discussion features industry leaders who will delve into the transformative impact of AI, IoT, and Machine Learning (ML).
Among the speakers are Brandon Woodruff of Delta Air Lines; Corey Cook of Lockheed Martin Advanced Technologies Concepts; and Cameron Worth of SharpEnd. The panel will be moderated by Bill Hardgrave, president, University of Memphis and Justin Patton, director, RFID Lab, Auburn University.
The second panel will discuss the groundbreaking RFID deployments in corporate America: UPS’ pioneering Smart Package Smart Facility (SPSF) initiative with the innovative UPS Smart Vehicle on the show floor.
UPS’ Jon Gurney Bell will unveil the visionary project, sharing insights into its objectives, achievements, and impact on logistics standards. Amy Lio of LVMH will shares how UPS is setting a new industry benchmark with optimized tracking, efficiency, and unparalleled customer experiences. Plus, Jeffrey Radaker, MBA and the UPS team will be on hand to discuss how they are reducing carbon emissions and promoting a greener future.
These distinguished speakers and moderators promise to elevate the RFID Journal LIVE! 2024 experience, providing attendees with unparalleled insights and fostering a dynamic exchange of ideas. Don’t miss the opportunity to engage with these industry luminaries and shape the future of RFID, IoT, and AI.