Week of Events
EMC and Power Electronics Workshop
EMC and Power Electronics Workshop
2-day virtual workshop offered by MPS. This webinar is intended for engineers who work on power electronics design and EMC tests. Topic: EMC and Power Electronics Workshop Workshop Day 1, March 6th, 2024: Learn how to reduce EMI using a spread spectrum, discuss measurement fundamentals of AC/DC SMPSs, and get the latest updates on EMI/EMC debugging conducted emissions using an oscilloscope. Workshop Day 2, March 14th, 2024: Learn about layout optimization for buck converters, half-bridges, and Power Electronics measurement challenges. If you missed Workshop Day 1, the EMI/EMC debugging webinar, you will have a second chance to learn more about it on Workshop Day 2. Speakers: - Florian Seliger and Francesc Estragues from MPS - Alexander Küllmer from Rohde & Schwarz - Arturo Mediano from UNIZAR Please register and get the full agenda for this 2-day virtual workshop. (https://smc-link.s4hana.ondemand.com/eu/data-buffer/sap/public/cuan/link/100/C536C348F404D245ADE68EAFBDFAC3C48D5D633D?_V_=2&_K11_=6CF5F7EF72F95B58B876FBA2F92506301EEB20C1&_L54AD1F204_=c2NlbmFyaW89TUxDUEcmdGVuYW50PW15MzAyMDM5LnM0aGFuYS5vbmRlbWFuZC5jb20mdGFyZ2V0PWh0dHBzOi8vd3d3Lm1vbm9saXRoaWNwb3dlci5jb20vc3VwcG9ydC93ZWJpbmFycy9lbWMtYW5kLXBvd2VyLWVsZWN0cm9uaWNzLXdvcmtzaG9wLXdpdGgtbXBzLWFuZC1yLXMuaHRtbD91dG1fc291cmNlPWVtYWlsJnV0bV9tZWRpdW09d2ViaW5hciZ1dG1fY2FtcGFpZ249MjAyNC0wMy1lbWMtYW5kLXBvd2VyLWVsZWN0cm9uaWNzLXdvcmtzaG9wLXItcw&_K13_=550&_K14_=3b918a478a1413d4ab62d36b07f6af6520cc057f9c28fdf1d38c90fa2c7934f8) Co-sponsored by: IEEE North Jersey Section Virtual: https://events.vtools.ieee.org/m/409279
Beyond Automation: Empowering Students through Generative AI and Innovation!
Beyond Automation: Empowering Students through Generative AI and Innovation!
Montclair Robotics and AI Seminar Series (RAISeSeries): Beyond Automation: Empowering Students through Generative AI and Innovation! Please see the flyer for more details. https://www.raiserobot.com Bldg: CELS, 1 Normal Ave, Montclair, New Jersey, United States, 07043
IEEE North Jersey Section EXCOM – Meeting 6:30 PM
IEEE North Jersey Section EXCOM – Meeting 6:30 PM
The IEEE North Jersey Section's Executive Committee (EXCOM) monthly meeting will be held hybridly. The EXCOM meeting starts at 6:30 pm EST and typically ends at 8:30 pm. The meeting is meant to discuss and coordinate the activities of the Section and its Chapters and Groups, as well as new initiatives. Everyone is welcome to attend this meeting. Please register in advance for this meeting using vTools (Please make a note if you join the meeting remotely) You can change/cancel the registration if your plans change. For more information, please contact our IEEE North Jersey Section Chair Hong Zhao ([email protected]) , or Secretary, Adriaan van Wijngaarden, ([email protected]). Location: New Jersey Institute of Technology To join remotely by the following Zoom link: https://fdu.zoom.us/j/95413630712 Meeting ID: 954 1363 0712 Note: If you are unable to join the meeting, please send your chapter activity report to the section chair at [email protected] Agenda: 06:30 pm - 06:45 pm Networking 06:45 pm - 08:30 pm IEEE North Jersey Section Executive Committee Meeting The meeting agenda typically includes news related to the IEEE and the IEEE North Jersey Section, Secretary and Treasurer reports, Chapter and Affinity Group reports, Committee reports, and reports by various Chairs and Representatives, Committee Chairs, and planning, and new initiatives. Room: ECE 202, Bldg: Electrical and Computer Engineering (ECE) Building, University Heights, Newark, New Jersey, United States, 07102, Virtual: https://events.vtools.ieee.org/m/408710
Celebration: Alexander Graham Bell’s Patent leading to Telephone Live Watch Party at the Museum, + 1 Virtual Viewing
Celebration: Alexander Graham Bell’s Patent leading to Telephone Live Watch Party at the Museum, + 1 Virtual Viewing
[] Celebrate Alexander Graham Bell's Patent - the Birth Certificate of the Telephone in person at AT&T Labs in Middletown New Jersey and view the Story of Alexander Graham Bell at times scheduled 10AM, 12PM, 2PM. Please register ahead so the hosts can prepare for guests at the location. The Movie depicts how Alexander Graham Bell invented the Telephone and changed history. The Movie will be shown in the Auditorium. Visitors will be able to see the AT&T Labs Science & Technology Center and Museum. In addition, up to 99 people who wish to Celebrate the Birth of an Industry and transformation of our world can view the Alexander Graham Bell story on Zoom at 8PM. This Zoom viewing is virtual only. Bldg: 2A, 200 S Laurel Ave, Middletown Township, New Jersey, United States, Virtual: https://events.vtools.ieee.org/m/410058
Celebration: Alexander Graham Bell’s Patent leading to Telephone Live Watch Party at the Museum, + 1 Virtual Viewing
Celebration: Alexander Graham Bell’s Patent leading to Telephone Live Watch Party at the Museum, + 1 Virtual Viewing
[] Celebrate Alexander Graham Bell's Patent - the Birth Certificate of the Telephone in person at AT&T Labs in Middletown New Jersey and view the Story of Alexander Graham Bell at times scheduled 10AM, 12PM, 2PM. Please register ahead so the hosts can prepare for guests at the location. The Movie depicts how Alexander Graham Bell invented the Telephone and changed history. The Movie will be shown in the Auditorium. Visitors will be able to see the AT&T Labs Science & Technology Center and Museum. In addition, up to 99 people who wish to Celebrate the Birth of an Industry and transformation of our world can view the Alexander Graham Bell story on Zoom at 8PM. This Zoom viewing is virtual only. Bldg: 2A, 200 S Laurel Ave, Middletown Township, New Jersey, United States, Virtual: https://events.vtools.ieee.org/m/410058
AI-Powered Math Information Retrieval: What We Have & What We Need
AI-Powered Math Information Retrieval: What We Have & What We Need
IEEE Maine Joint Communications/Computer Societies Chapter and UMaine AI invite you to a live virtual event on Thursday, March 7, 12-1 PM EDT: Math Information Retrieval: What We Have & What We Need presented by Behrooz Mansouri, Assistant Professor of Computer Science, University of Southern Maine. Abstract: This talk introduces math information retrieval, discussing the challenges, existing systems, and open problems in this domain. Math information retrieval (MIR) presents unique challenges due to the structured nature of mathematical language and symbols. Despite recent advancements like digital libraries and specialized search engines, the field of MIR still deals with ambiguities and accurately addressing users’ information needs. This presentation emphasizes ongoing efforts to develop test collections, search systems, and conduct user studies for MIR. Coordinated with Computer Society Region 1 and Region 2 Chapters Coordinator. The presentation will be followed by Q & A, moderated by Julia Upton, IEEE Maine Joint Communications/Computer Societies Chapter Chair. Please register (there is no registration fee) here: (https://ai.umaine.edu/webinars/) Virtual: https://events.vtools.ieee.org/m/407995
LMMs for AI-Native Wireless Systems – AI/ML webinar
LMMs for AI-Native Wireless Systems – AI/ML webinar
Special Presentation on “LMMs as Universal Foundation Models for AI-Native Wireless Systems” by Dr. Christo K. Thomas (Virginia Tech, USA) Hosted by Future Networks Artificial Intelligence & Machine Learning (AIML) Working Group Date/Time: Thursday, March 7th, 2024 @ 6 PM EST (3 PM PST) Topic: Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems Abstract: Foundation models such as large language models (LLMs) have recently been touted as game-changers for 6G systems. However, previous efforts on LLMs for wireless networks are limited to directly applying existing language models designed for natural language processing (NLP) applications. Contrary to this, in this talk, we present a comprehensive vision of how to design universal foundation models that are tailored towards the unique needs of next-generation wireless systems, thereby paving the way towards the deployment of artificial intelligence (AI)-native networks. These LMMs are driven by three distinct characteristics: 1) integration of multi-modal sensing data, 2) grounding sensory input via causal reasoning and retrieval-augmented generation (RAG), and 3) instructibility to environmental feedback through logical and mathematical reasoning enabled by neuro-symbolic AI. These attributes are crucial for developing "universal foundation models" capable of addressing interconnected cross-layer networking challenges in AI-native wireless systems while ensuring alignment of objectives across diverse domains. We also discuss preliminary results from experimental evaluation that demonstrate the efficacy of grounding using RAG in LMMs, and showcase the alignment of LMMs with wireless system designs. Furthermore, compared to vanilla LLMs, the enhanced rationale exhibited in the responses to mathematical questions by LMMs demonstrates the logical and mathematical reasoning capabilities inherent in LMMs. Building on those results, we present a sequel of open questions and challenges for LMMs, including intent-based networks, resilient wireless systems, semantic communications, and many more. Co-sponsored by: IEEE Future Networks Speaker(s): Dr. Christo K. Thomas Virtual: https://events.vtools.ieee.org/m/407262
LMMs for AI-Native Wireless Systems – AI/ML webinar
LMMs for AI-Native Wireless Systems – AI/ML webinar
Special Presentation on “LMMs as Universal Foundation Models for AI-Native Wireless Systems” by Dr. Christo K. Thomas (Virginia Tech, USA) Hosted by Future Networks Artificial Intelligence & Machine Learning (AIML) Working Group Date/Time: Thursday, March 7th, 2024 @ 6 PM EST (3 PM PST) Topic: Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems Abstract: Foundation models such as large language models (LLMs) have recently been touted as game-changers for 6G systems. However, previous efforts on LLMs for wireless networks are limited to directly applying existing language models designed for natural language processing (NLP) applications. Contrary to this, in this talk, we present a comprehensive vision of how to design universal foundation models that are tailored towards the unique needs of next-generation wireless systems, thereby paving the way towards the deployment of artificial intelligence (AI)-native networks. These LMMs are driven by three distinct characteristics: 1) integration of multi-modal sensing data, 2) grounding sensory input via causal reasoning and retrieval-augmented generation (RAG), and 3) instructibility to environmental feedback through logical and mathematical reasoning enabled by neuro-symbolic AI. These attributes are crucial for developing "universal foundation models" capable of addressing interconnected cross-layer networking challenges in AI-native wireless systems while ensuring alignment of objectives across diverse domains. We also discuss preliminary results from experimental evaluation that demonstrate the efficacy of grounding using RAG in LMMs, and showcase the alignment of LMMs with wireless system designs. Furthermore, compared to vanilla LLMs, the enhanced rationale exhibited in the responses to mathematical questions by LMMs demonstrates the logical and mathematical reasoning capabilities inherent in LMMs. Building on those results, we present a sequel of open questions and challenges for LMMs, including intent-based networks, resilient wireless systems, semantic communications, and many more. Co-sponsored by: IEEE Future Networks Speaker(s): Dr. Christo K. Thomas Virtual: https://events.vtools.ieee.org/m/407262