Please join us for the April meeting of the Canaveral Section Executive Committee! We are again inviting the LMAG members to join this meeting. We would like to finish rough objectives through the end of the year, including at least one STEM event, one LMAG event, and one Young Professionals event. A complete agenda will ...
[] Real-world examples of examples and demos in using AI-assisted tools are introduced to increase your productivity. These tools include actual use of these AI-assisted tools during education week to promote events like Digital Privacy, AI Design Automation, AI Supply Chain Management, and AI-assisted Tutoring as well as for increasing awareness of these events, resulting ...
IEEE SPS DL lecture Topic: Resource Allocation and Learning for Wireless Networks: Underwater and Radio Frequency Use Cases Speaker: Dr. Urbashi Mitra, IEEE Fellow, Professor, University of Southern California The lecture will also be available via ZOOM at https://utsa.zoom.us/j/94807623288 Here is parking information: https://www.utsa.edu/campusservices/parking/visitor.html Speaker(s): Dr. Mitra, Room: 2.01.24 (Mesquite), Bldg: Student Union. UTSA, One ...
The centralization of data and intelligence poses several risks, including potential privacy breaches, single points of failure, and stifling innovation. Decentralization, on the other hand, remains challenging as edge devices often have to work with limited computing capabilities and battery energy budgets. In this talk, I will present a line of research conducted at the ...
It will be about everything about AI: Expectations, predictions, standards, social cases. Anything you would like to talk. Best regards Agenda: Free style: any topic about AI is welcome. There will be free coffee with IEEE Financial Support again. Best regards Bldg: Pressed Cafe, 216 S River Rd, Bedford, New Hampshire, United States, 03110, Virtual: ...
The on line component of the Robot Challenge is for teams unable to attend the April 28 event at the Baltimore Museum of Industry Co-sponsored by: Baltimore Museum of Industry Agenda: 09:00 - 09:30 Judge Training & Orientation REQUIRED FOR ALL PARTICIPANTS 09:30 - 10:50 Competitions Virtual: https://events.vtools.ieee.org/m/360927
The Robot and Artificial Intelligence (AI) Student Exposition will include briefings and demonstrations from high school students, college students, and industry professionals focused on robotic and AI transformational technologies. This event will include short technical briefings, followed by demonstrations, and a "meet and greet session" with the robots, pizza, and beverages. It will serve as ...
Hybrid Event Details Are you involved with Computer Game Development? Do you know of staff or students at academic institutions who are? If so, please share this information on this event with them so they can attend this year's Competition. The top 10 of this year's entries of the games' first stage submitted will compete ...
Robot Challenge competition including time trials for robots and oral presentations by the student teams. This is an exciting event for Middle School and High School students who have built robots from scratch. We need Judges! The interaction with working engineers is invaluable. Competition ends early afternoon, depending on the number of entries. Please join ...
Last November, the Carbon Capture team presented the technologies being developed at EPFL in this field. Details of the gas separation will be presented by Luc Bondaz, Doctoral Assistant at EPFL Sion. Abstract: 50% of the industrial energy consumption is attributed to separation and purification processes. In the context of global warming, energy efficient separation ...
Come to join us for a night when senior engineering and computer science students from all universities in San Antonio are warmly welcome to present their senior design projects and share ideas with fellow students and industry professionals. Pizza and drinks will be served. Room: Conference Room C, Bldg: University Center , One Camino Santa ...
Abstract: Cyber-physical systems (CPS), such as robots and self-driving cars, demand rigorous scheduling to prevent failure, where every millisecond of processing time can be critical. These systems often rely on heterogeneous computing environments, which include CPUs, GPUs, and specialized accelerators, to meet their computational needs efficiently. However, leveraging these diverse processing units to fulfill strict ...
