What we’re about
Welcome! We are the Princeton / Central Jersey Section of the Institute of Electrical and Electronics Engineers (IEEE / PCJS). We hold regular meetings on a variety of subjects, covering topics in science and engineering, information technology, and professional development.
This is a group for engineers, Information Technology (IT) folks, students, and anybody interested in pushing the envelope of our modern, tech-driven world. Sponsored by the IEEE (Institute of Electrical and Electronics Engineers), our meetings are open to all.
Our meetings are open to the public, and free of charge, unless otherwise noted. You need not be an IEEE member to attend.
Our chapters and groups include:
• Antennas and Propagation / Electronic Devices / MicrowaveTheory and Techniques
• Broadcast Technology
• Circuits and Systems
• Consumer Electronics and Communications
• Computer Society (joint chapter with Princeton ACM)
• Engineering in Medicine and Biology
• IEEE Education Society
• Photonics
• Power and Energy Society
• Robotics and Automation
• Signal Processing
• Solid-State Circuits Society
• Professional Activities Committee for Engineers (PACE)
• Young Professionals
• Consultants Network
• Women in Engineering
...and student branches at:
• The College of New Jersey
• Princeton University
• Rutgers University
• DeVry University - North Brunswick
• Middlesex County College
• Pre-University Student Branches
http://ewh.ieee.org/r1/princeton-centraljersey/
The Institute of Electrical and Electronics Engineers (IEEE) is a non-profit organization with over 400,000 members in more than 160 countries. The IEEE is the world’s largest professional association advancing innovation and technological excellence for the benefit of humanity. IEEE and its members inspire a global community to innovate for a better tomorrow through its highly cited publications, conferences, technology standards, and professional and educational activities. IEEE is the trusted “voice” for engineering, computing and technology information around the globe. The IEEE publishes a third of the world’s technical literature in electrical engineering, computer science and electronics and is a leading developer of international standards that underpin many of today's telecommunications, information technology and power generation products and services.
www.ieee.org
Upcoming events (1)
See all- ACM / IEEE Computer Society:Lifelong Learning at the Edge:Algorithms&Foundations35 Olden St, Princeton, NJ
PRINCETON ACM / IEEE COMPUTER SOCIETY CHAPTERS
MAY 2024 JOINT MEETING"Lifelong Learning at the Edge: Algorithms and Foundations" - Hava Siegelmann, University of Massachusetts
Lifelong Learning (or Lifelong Machine Learning) is an advanced Machine Learning (ML) paradigm: an architecture for ML systems that learn continuously, accumulate knowledge learned in the past, and use that knowledge to help future learning and problem solving. This talk will explore three aspects of Lifelong Learning.
Lifelong Learning can reduce up-front energy consumption in the model training process, because it can use a signal propagation approach that combines learning into the inference process and enables the system to add classes to its knowledge model at the same time it is being used to solve problems. Lifelong Learning includes new mechanisms that can make the AI temporally aware, mechanisms which can improve the system's ability to work effectively with limited data. Lifelong Learning research is also exploring new models of computation – “Super-Turing computation,” a model of computation that resembles biological learning.
Dr. Hava Siegelmann is a Provost Professor of the University of Massachusetts and Director of the Biologically Inspired Neural and Dynamical Systems (BINDS) Laboratory. She conducts highly interdisciplinary research in next generation machine learning, neural networks, intelligent machine-human collaboration, and computational studies of the brain. Her current research is aimed at “third-wave AI,” pushing for major innovations in AI design with a potentially dramatic increase in AI capability.
Dr. Siegelmann is a leader in increasing awareness of ethical AI via the IEEE, INNS, and international meetings. She works to support minorities and women in STEM at the university level, both in the US and internationally.
Date: Thursday May 16, 2024, 8:00 PM EDT
(Note: Refreshments and networking start early - 7:30pm.)
Place: HYBRID MEETING (both in-person and online)
In Person: Princeton University Computer Science Building
Small Auditorium, Room CS 105
35 Olden Street, Princeton NJ
How to register for the online meeting:
* Send email to PrincetonACM {AT} gmail {DOT} com
* OR Register on Meetup.com (https://www.meetup.com/ieee-princeton-central-jersey-section)Zoom link:
https://us06web.zoom.us/j/83470514010?pwd=5uOSadToQbhP0kr1xyBZeqaEy39yWS.1On-line meeting notice: https://PrincetonACM.acm.org/meetings/mtg2405.pdf
Princeton ACM / IEEE Computer Society meetings for the 2023-24 season will be "hybrid." You have a choice: attend the talk in-person, or view the meeting online from home. To join the online, you must register in advance, and you will receive an email with instructions for how to connect to the talk.
A pre-meeting dinner is held at 5:45 p.m. at Applebee's (3330 US 1, Lawrenceville, near Quakerbridge Mall). Please send email to PrincetonACM {AT} gmail {DOT} com in advance if you plan to attend the dinner.
All ACM / IEEE Computer Society meetings are open to the public. Students and their parents are welcome. There is no admission charge.
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Future Princeton ACM/ IEEE Computer Society Meetings
June TBA - Annual Elections and Planning Meeting