Connected automated vehicles (CAVs) are expected to bring significant changes to how we travel and how traffic control devices operate. It is hypothesized that traffic lights may become obsolete and can be removed from intersections when all vehicles are both connected and automated. Some changes in traffic light systems may be necessary to accommodate the transition to a road system in which all vehicles are automated, and this means changing a technology that has been around for more than 100 years. In this talk, we introduce a new traffic control paradigm: using automated vehicles as mobile traffic controllers in cooperation with traffic signal controllers. In this concept, automated vehicles can create groups of human-driven vehicles, negotiate the right of way with each other, and navigate human-driven vehicles through the intersection during a new phase called the white phase. This happens only when enough automated vehicles are present in the intersection neighborhood, otherwise, typical green, yellow, and red phases are used. The simulation analysis has been very promising, and the new paradigm resulted in total delay reductions ranging from 7 percent to 96 percent when the automated vehicle market penetration rate increases from 10 percent up to 100 percent. This talk will also cover controlling CAVs in roundabouts and signal-free intersections. Speaker(s): Ali Hajbabaie, Agenda: Mechatronics and Automation for Revitalizing Critical infrastructure Health (MARCH) - Moving from Research to Application The IEEE Industrial Electronics Society Chapter of the Eastern North Carolina Section is hosting a multi-disciplinary webinar series titled, “Mechatronics and Automation for Revitalizing Critical infrastructure Health (MARCH) - Moving from Research to Application”. The speakers will be focusing on applied research and development in automation of sensors, actuators and intelligent decision making to improve, automate or smarten critical infrastructure systems such as power, communication, water, transportation, etc. for fault detection, diagnosis and mitigation, and interconnected collaborative operation. The goal of the webinar series is to build and expand connections between faculty and to foster new faculty-industry relationships to widen the applicability of their research to a larger industry/academic audience. This webinar also aims to broaden the research horizon and facilitate the integration of scientific aspects that were previously not considered as prominent factors for the operation of certain critical infrastructure. Attendees will have the opportunity to interact with the speakers and other attendees to build partnerships to participate in funding opportunities and collaborative interdisciplinary research. Raleigh, North Carolina, United States, Virtual: https://events.vtools.ieee.org/m/273806

Conversational Artificial Intelligence (Conversational AI) refers to the technologies that enable the human-machine conversations. They can be chat or voice assistants. We have seen a clear transformation from Chatbots to Virtual Agents in a very short span in the industry. This can alluded to the obvious services and cost efficiencies that the Conversational AI can deliver. Additionally, the Virtual Agents technologies have demonstrated the superlative benefits of a human like conversations that encourage the customers to adopt to this technology more easily, while saving huge operational costs for the businesses. The gap between the Human-Human and Human –Machine conversations is constantly narrowing. The conversational AI imitates the human learning process and its main constructs are based on the business language, the dialog management and the ability to learn from the feedback. Business Language: Training the machine on the business language including the intent, the entities and the frequently asked questions Dialogue management: Leveraging the foundational NLP , the dialog process simulates the human dialog process quickly with intuitive design tools. Formulates the questions and the corresponding responses. Reinforcement learning: Finally, machine learning algorithms refine responses over time to ensure accuracy During this session we plan to demonstrate the Conversational AI techniques that are available to us today. The demo topics to include are: - Pre-trained Catalogs of Intents (Industry specific) - Short Tail & Long Tail: - Frequently Asked Questions (FAQs) - Dynamic Response retrieval with context awareness - Interactive dialogs - Beyond FAQs - Process Flows Please join us for an interactive presentation cum demo session. Speaker(s): Mr. Andrew Freed, Virtual: https://events.vtools.ieee.org/m/274313

Join us for the first in-person WiE event in over a year. We'll gather for brunch at First Watch at Brier Creek for good food and good conversations. Please register so that we can make reservations. 4233 Corners Pkwy Suite 230, Raleigh, North Carolina, United States, 27617