This demonstration uses a different approach to building a conversational intelligence. Whereas most AI systems use a large database and a conversational search engine, this method teaches the system to parse knowledge sentences and infer additional statements. The teacher resolves ambiguous statements found by the system. The methods do not depend upon any particular human language. Co-sponsored by: Computational Intelligence Society Chapter (CIS11) and Computer Society Chapter (C16) Speaker(s): Rolo, Bldg: Martha Washington Library, 6614 Fort Hunt Rd, Alexandria, Virginia, United States

Advancing Large-area Crop Mapping with Satellite Data Satellite remote sensing is transforming global agricultural monitoring. Crop maps from satellite data are essential for crop monitoring systems and crop modeling projects. Generating high-resolution crop maps is a research area of significant potential. The Landsat and Sentinel series of satellites, with 10-30 m spatial resolution, sub-weekly revisit frequency, free data policy, and standardized pre-processing, represent the best available datasets for crop mapping over large areas. This talk presents a multi-scale mapping approach with satellite Analysis Ready Data (ARD) generation, machine learning, probability sampling and in situ data collection as critical components. The approach can simultaneously produce crop area estimates with uncertainty estimates and crop classification maps with validation accuracy. Crop mapping results at national and continental scales over the United States, Canada, China and South America are illustrated. Speaker(s): Xiaopeng Song, Virtual: https://events.vtools.ieee.org/m/391822

Advancing Large-area Crop Mapping with Satellite Data Satellite remote sensing is transforming global agricultural monitoring. Crop maps from satellite data are essential for crop monitoring systems and crop modeling projects. Generating high-resolution crop maps is a research area of significant potential. The Landsat and Sentinel series of satellites, with 10-30 m spatial resolution, sub-weekly revisit frequency, free data policy, and standardized pre-processing, represent the best available datasets for crop mapping over large areas. This talk presents a multi-scale mapping approach with satellite Analysis Ready Data (ARD) generation, machine learning, probability sampling and in situ data collection as critical components. The approach can simultaneously produce crop area estimates with uncertainty estimates and crop classification maps with validation accuracy. Crop mapping results at national and continental scales over the United States, Canada, China and South America are illustrated. Speaker(s): Xiaopeng Song, Virtual: https://events.vtools.ieee.org/m/391822

Overview of Career Growth Series 2023 This is the last of four monthly meetings starring pre-recorded webinars whose focus are technical career enhancement. These webinars were recorded in 2022 and are available at https://ieeeusa.org/calendar/career-webinars/. However these meetings provide an opportunity to discuss the webinar with other attendees (and enjoy a light refreshment during the meeting.) The discussion part will be available for remote attendance. Presentation Leaders are the ones that have the right combination of drive, focus, and market savvy to create something unique that has value today and in the future. Great leaders also have a strong vision for the future and are undeterred when plans take them sideways. The methods of this type of success often take decades to implement and realize. In this webinar, you will find the key ingredients of a great company, and how a founder builds the team that together makes a difference. Agenda: 5:30-5:45: Registration and Refreshments 5:45-6:45 – Replay of Webinar 6:45 - 7:15 discussion and selecting next webinar (hybrid) 6050 Oak Tree Boulevard, Checkpoint Surgical, Suite 360, Independence, Ohio, United States, 44131, Virtual: https://events.vtools.ieee.org/m/371975