As glass is gaining a lot of attention and momentum as a state of the art semiconductor packaging technology, industry is looking to complete the supply chain to enable this promising technology. Several advances have been made in the field of metallizing glass core through vias, and in today’s presentation, we will discuss several options and MKS’ take on delivering a manufacturable solution. We will discuss options for seed layer deposition and highlight the MKS wet metallization technique that allows us to directly plate on glass. We will also go over several options for electrolytic plating of the bulk copper conductor for the through glass vias. Co-sponsored by: Habib Hichiri Speaker(s): Jobert van Eisden, Virtual: https://events.vtools.ieee.org/m/412596

Special Presentation by Prof. Petar Popovski (Aalborg University, Denmark) Hosted by the Future Networks Artificial Intelligence & Machine Learning (AIML) Working Group Date/Time: Thursday, April 18th, 2024 @ 12:00 UTC Topic: Learning and Intelligence over Weak Communication Links Abstract: Besides the fascinating questions on how to train increasingly capable Machine Learning (ML) models and explain their behavior, there is a suite of highly relevant challenges that emerge when ML models become elements of distributed connected systems and networks. A popular instance of this set of problems is federated learning. The first part of the talk will present a federated learning setup over LEO satellite constellation. It will be seen that the predictability of satellite movement can be used to speed up the training process. The second part will deal with a model for supervised learning in which Alice has access to abundant data features but does not have the labels, while Bob is able to provide a correct label for any data point. Alice is connected to Bob through a low-rate communication link and the talk will present strategies that combine active learning and data compression that enable Alice to get the labels. Finally, the third part of the talk discusses generative network layer of communication protocols. This is implemented in an intermediate network node that contains a Generative AI module. When the link to the source is weak, instead of waiting for packets to be routed, the node can generate the packets that need to be sent to the destination. Generative network layer is an early step towards the potential changes in communication protocols based on increasingly capable AI. Co-sponsored by: IEEE Future Networks Speaker(s): Prof. Petar Popovski Virtual: https://events.vtools.ieee.org/m/413460

Come learn basic Arduino and basic wall-following for a basic Micromouse with IR sensors! Room: 175, Light Engineering, Stony Brook, New York, United States, 11790

Secrets to Career Success IEEE Providence Section is bringing back an engaging talk full of practical tips that aspiring engineers of all specialties can apply immediately to stand out from the crowd and accelerate their career growth. Successful colleagues shared the high-impact skills they learned the hard way in their first few years on the job. Their insights form the core of this must-see talk for aspiring professionals! Andy Willner, M.S., P.E. is Managing Director of CÆDENCE Consulting LLC; his team engages directly with clients’ teams to resolve pressing issues and offers business and technical skills workshops & coaching to drive sustainable improvements. Andy honed his expertise in developing engineering talent over a career leading successful new product development teams at Sensata Technologies and Texas Instruments. He has degrees from Cornell, Binghamton, and NTU. Andy has 8 patents and is a Massachusetts registered professional engineer. (https://nam02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.linkedin.com%2Fin%2Fandy-willner-p-e-508792%2F&data=05%7C02%7Caruocco%40rwu.edu%7Cd446317cca5447210f1508dc482b2730%7Cd84edea239e2410aa672331c49c8c4e2%7C0%7C0%7C638464597379056001%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=RMVvLYfcBqSs0HqymX31GuLcx5GSZLaXcW%2FctRpcgr4%3D&reserved=0) | (https://nam02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.caedenceconsulting.com%2F&data=05%7C02%7Caruocco%40rwu.edu%7Cd446317cca5447210f1508dc482b2730%7Cd84edea239e2410aa672331c49c8c4e2%7C0%7C0%7C638464597379065546%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=%2FZhXANHbFSf93T7AyHK%2FnoWDvK%2BSEo0fLoZiWhSK07U%3D&reserved=0) | (https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcaedenceconsulting%2F&data=05%7C02%7Caruocco%40rwu.edu%7Cd446317cca5447210f1508dc482b2730%7Cd84edea239e2410aa672331c49c8c4e2%7C0%7C0%7C638464597379073013%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=WpVPamSltlFvaGSXakjmknF4y%2F2PkRnY4qUeMh%2FePnE%3D&reserved=0) Virtual: https://events.vtools.ieee.org/m/413773

2024 is another great year for the Syracuse Section of the IEEE. We have a new 2024 IEEE Fellow from our Syracuse membership! Professor Qinru Qiu, in Syracuse University's College of Engineering and Computer Science, has been elevated to Fellow status, which is the highest professional designation in the IEEE. Less than 0.1% of IEEE membership is elevated to Fellow status annually. Professor Qiu's is recognized by the Council on Electronic Design Automation (CEDA) for contributions to the modeling and optimization of energy-efficient computing systems. Our evening celebration will start with registration and social hour (cash bar) at 5:30pm and buffet dinner at 6:30pm. After dinner, our new Fellow Prof. Qiu will give a brief overview of her research. Registration is available up to the day of the event (4/18) and the fee is not required at the time of registration. However, please register by 4/12 so we have an accurate count. Payment through this webpage can be made by credit card or paypal. On 4/18, the fee can only be paid by check or cash. Note: For more information about our new IEEE Fellow please refer to this Syracuse University News: https://ecs.syracuse.edu/about/news/electrical-engineering-and-computer-science-professor-qinru-qiu-recognized-as-ieee-fellow Picture from 2023 IEEE Fellows Night Speaker(s): Qinru Qiu Agenda: 5:15pm - Registration Desk Opens 5:30pm - Social Hour with Cash Bar 6:30pm - Buffet Dinner 7:30pm - Welcome and Introduction of Speaker 8:30pm - Conclusion Room: Comstock Ballroom, Bldg: FREE parking at the Sheraton Garage, SHERATON SYRACUSE UNIVERSITY HOTEL & CONFERENCE CENTER, 801 University Avenue, Syracuse, New York, United States, 13201

ExCom Meeting Agenda: IEEE Buffalo Section Executive Committee Meeting Agenda 6:30 PM, Thursday April 18, 2024 In Person (SUNY Buffalo State University, Technology Building 148) Virtual on Zoom 1) Call to Order 2) Review minutes from March 2024 meeting (Vasili) 3) Review treasurer report (Mike W) 4) Review Membership Report (Mike W) 5) Events Past events a. R1/R2 IEEE Student Conference b. Awards dinner New events c. Upcoming Events i. TeraTech Conference – Vasili ii. Possible technical meetings topics 6) Action Items from November Meeting i. Discussions on forming Education Society chapter – progress report 7) Membership/Society a. EDS b. Computer c. Control d. Communication e. TEMS f. AP/MTT g. PES h. Women in Engineering i. Young Professionals j. Life Members k. NTC l. Photonics 8) Review New Action Items 9) Adjourn Next ExCom Meetings / Locations: TBD Room: 148, Bldg: Technology, 1300 Elmwood Ave., Buffalo, New York, United States, 14222, Virtual: https://events.vtools.ieee.org/m/417158

Join IEEE at SBU and SBRT for some karaoke and food at our social event collaboration! Room: The Shore Club (SAC 169), Student Activities Center, Stony Brook, New York, United States, 11790

[] Large Language Models (LLMs) are being used widely in current Generative AI systems. Unfortunately, LLMs demonstrate significant capabilities but face challenges such as hallucination, outdated knowledge, and non-transparent, untraceable reasoning processes. Retrieval Augmented Generation (RAG) has emerged as a promising solution by incorporating knowledge from external databases. This enhances the accuracy and credibility of the models, particularly for knowledge-intensive tasks, and allows for continuous knowledge updates and integration of domain-specific information. RAG synergistically merges LLMs' intrinsic knowledge with the vast, dynamic repositories of external databases. This talk gives an overview of the structure of RAG systems and includes a demo of their capabilities. Madhu Chinnambeti is an SVP and Senior Data Scientist at SupportVectors. In his current role, Madhu advises the companies, aspiring engineers, and entrepreneurs on ML, AI, and Gen AI technology stack. Madhu has over 28 years of experience in Computer Science and Engineering and he is currently working on his PhD dissertation in the area of Graph Neural Networks (GNNs) and deep learning at Boise State University. Madhu is currently working on research and publications that advance GNNs under Cybersecurity and fraud detection. His passion also includes tech education in the evolving fields like Generative AI. Madhu is a volunteer advisory board member of Disability:In New Jersey affiliate to help individuals with disabilities to get jobs. Speaker(s): Madhu Chinnambeti, Room: Room 105, Bldg: Computer Science Building, 35 Olden St., Princeton University, Princeton, New Jersey, United States, 08544, Virtual: https://events.vtools.ieee.org/m/414598