This will include a look at Facebook, LinkedIn, and also the use of the Groups.io tools. Considerations include Privacy, business models, and differential characteristics. We will have some time to explore the options. Agenda: 4:15 PM registration 4:30 PM Panel discussion. The presentation will be livestreamed. Room: Classroom, The Baldwin, 50 Woodmont Avenue, Londonderry, New Hampshire, United States, 03053, Virtual: https://events.vtools.ieee.org/m/478215

Next week's TechCast: A must-see session for analytics-oriented organizations on using OAC with Oracle Database 23ai Property Graph. Graph use cases are everywhere, from finance and manufacturing to marketing and security. Please join and share with customers, partners, and colleagues. https://us02web.zoom.us/webinar/register/5417283227699/WN_RtzquJwPTuKHv0EzoEVBjQ#/registration - Graphs help you navigate and analyze relationships in data, to find new insights such as identifying key influencers, uncovering anomalous patterns, and detecting patterns. - Oracle Analytics Cloud (OAC), combined with the SQL Property Graph features of Oracle Database 23ai, makes it easy to intuitively explore complex relationships in data represented as a graph. - With dynamic slice-and-dice features, interactive visualizations, right-click clustering, anomaly detection, auto-insights, and auto-explain functionality, Oracle Analytics Cloud empowers users to effortlessly uncover hidden patterns and identify connections from graphs. - This powerful synergy transforms a graph view of data into clear, actionable insights, helping businesses make smarter decisions faster and with greater confidence. Presenters: Melli Annamalai, Distinguished Product Manager, Oracle Graph Philippe Lions, Vice President, Oracle Analytics Product Management Date: Thursday, April 3, 2025 | 8:00am Pacific / 11:00am Eastern Speaker(s): Melli, Phillippe Agenda: Please see info above. Virtual: https://events.vtools.ieee.org/m/478957

Details coming soon Speaker(s): Dr. Francis (Jayme) Manning, Bldg: School of Engineering, Technology and Aeronautics, 2500 North River Road, Manchester, New Hampshire, United States, 03106

Join Henkel Loctite Application engineers for a 60 to 90+ minute adhesives technology training, Q&A session, and specific application discussions. Our Loctite OEM Seminar is basically our full one day Loctite OEM Customer Training School Workshop condensed down to a 60 to 90+ minutes session. It is essentially an “Adhesives 101” type presentation that includes several hands on demos, pros and cons of all the different Loctite OEM adhesive chemistries offered through our General Industries Division, new products updates, dispense & curing equipment options, and lastly resources available to your company and how to go about selecting and testing appropriate adhesives for your specific applications. It is very appropriate for both new and seasoned design, manufacturing & process engineers or anyone else interested in adhesives. Who Should Attend: Anyone interested in the current use or future use of adhesives for their adhesive assembly applications. What You Will Learn: Basic adhesives joint design guidelines, product data sheet review, advantages & limitations of adhesives, a review of core chemistries of current Loctite General Industries Product Line, how to select an adhesive, dispense & curing equipment options, Loctite available resources to help with your adhesive applications. Please Register at the following SMTA website: (https://smta.org/events/EventDetails.aspx?id=1950784&group=225199) Co-sponsored by: SMTA/iMAPS Agenda: 5:00 PM – 6:30 PM Registration, Facility Tours, Networking and Dinner 6:30 PM – 6:45 PM Greetings, Announcements 6:45 PM – 6:55 PM Host Introduction – New England Die Cutting (NEDC) 6:55 PM – 7:00 PM Speaker Intro 7:00 PM – 8:15 PM Feature Technical Presentation 8:15 PM – 8:30 PM Q&A 8:30 PM – 8:45 PM Closing Announcements, Facility Tours, and Networking 8:45 PM Adjourn 96 Milk St, Methuen, Massachusetts, United States, 01844

Kourosh K. Taheri, Ph.D. Andrew Strikwerda, Ph.D. (Technical Sales Manager, Energy) (Applications Manager, Electromagnetics) Abstract The Uncertainty Quantification Module, an add-on to the COMSOL Multiphysics® software, is designed to address the limitations of deterministic simulations by incorporating the inherent uncertainties found in real-world applications. Simulations typically assume that input data are fixed, and outputs can be computed with high accuracy. However, this deterministic approach does not account for the variability present in practical scenarios such as manufacturing processes, where significant uncertainty exists. The Uncertainty Quantification Module offers a uniform interface for screening, sensitivity analysis, uncertainty propagation, reliability analysis, and inverse UQ. It can be integrated with other COMSOL products to enable uncertainty analysis in electromagnetics, structural mechanics, acoustics, fluid dynamics, heat transfer, and chemical engineering simulations. The software brings fully coupled Multiphysics and single-physics modeling capabilities, model management, and user-friendly tools for building simulation applications. In this presentation, we will first introduce the COMSOL Multiphysics software and demonstrate the workflow by constructing a simple proof of concept model. We will then discuss the Uncertainty Quantification Module, and how it can be incorporated into a Multiphysics simulation. Agenda: PLEASE NOTE THE NEW 5PM START TIME FOR THIS MEETING 5:00 PM Networking and light dinner 5:30 PM Technical Presentation 7:00 PM Questions and Answers 7:15 PM Informal Q&A and networking 7:30 PM Adjournment Bldg: Main Cafeteria, Lincoln Laboratory, 244 Wood St, Lexington, Massachusetts, United States, 02421, Virtual: https://events.vtools.ieee.org/m/475215

Kourosh K. Taheri, Ph.D. Andrew Strikwerda, Ph.D. (Technical Sales Manager, Energy) (Applications Manager, Electromagnetics) Abstract COMSOL Multiphysics® is a general-purpose simulation software used in all fields of engineering, manufacturing, and scientific research. The software brings fully coupled Multiphysics and single-physics modeling capabilities, model management, and user-friendly tools for building simulation applications. All add-on products from the product suite connect seamlessly with COMSOL Multiphysics® for a modeling workflow that remains the same regardless of what you are modeling. The Uncertainty Quantification Module, an add-on to the COMSOL Multiphysics® software, is designed to address the limitations of deterministic simulations by incorporating the inherent uncertainties found in real-world applications. Simulations typically assume that input data are fixed, and outputs can be computed with high accuracy. However, this deterministic approach does not account for the variability present in practical scenarios such as manufacturing processes, where significant uncertainty exists. The Uncertainty Quantification Module offers a uniform interface for screening, sensitivity analysis, uncertainty propagation, reliability analysis, and inverse UQ. It can be integrated with other COMSOL products to enable uncertainty analysis in electromagnetics, structural mechanics, acoustics, fluid dynamics, heat transfer, and chemical engineering simulations. In this presentation, we will first introduce the COMSOL Multiphysics software and demonstrate the workflow by constructing a simple proof of concept model. We will then discuss the Uncertainty Quantification Module, and how it can be incorporated into a Multiphysics simulation. Agenda: PLEASE NOTE THE NEW 5PM START TIME FOR THIS MEETING 5:00 PM Networking and light dinner 5:30 PM Technical Presentation 7:00 PM Questions and Answers 7:15 PM Informal Q&A and networking 7:30 PM Adjournment Bldg: Main Cafeteria, Lincoln Laboratory, 244 Wood St, Lexington, Massachusetts, United States, 02421, Virtual: https://events.vtools.ieee.org/m/475215

Description: We will present the essential characteristics of a microservices based architecture, and their benefits. We will then present a list of common microservice antipatterns. For each antipattern, we will explain what characteristics of good architecture it violates, and the harm it does. Finally, we will list some techniques to avoid it in your applications. Speaker(s): Mayank Prakash, Agenda: 6:30 Introduction 7:00 Talk starts 8:30 Questions 8 Van de Graaff Drive, Burlington, Massachusetts, United States

April NH Section ExCom meeting Airport Dinner, 2280 Brown Avenue, Manchester, New Hampshire, United States, 03106

IEEE Reliability Society- Joint Boston/New Hampshire/Providence Chapter ADCOM meeting Zoom Link opens at 5:30pm! Please find Minutes from the 2/18/25 ADCOM meeting (https://docs.google.com/document/d/1dtka43ePQv4eyo7UZom_rwukHa803IeW8vCn2eNBfp0/edit?usp=sharing) for review. Speaker(s): , , , Agenda: AGENDA - Call to Order at 6:00 pm - Opening Remarks by the Chair - Officer Reports - Secretary - AdCom Meeting Minutes: approval from the previous meeting - Putting together google calendar - looking through old tech presentations for popular speakers/topics - Treasurer - Financials - Vice Chair - Technical Meeting Schedule - Potential Technical Meeting Presentations - Newsletter - feedback on brochure at RAMS - Webmaster & Social Media - Further discussion of Justin's proposal - Website Status - Chair Report - Upcoming Technical Meeting Registrations - 4. Old Business - MIT Lincoln Laboratory Appreciation / Thank You Plaque and Presentation: TBD - Proposed creation of IEEE Boston Reliability Chapter brochure targeting the Younger Demographic - Facebook, Instagram, Twitter - Chapter banner: still open - New Business - Schedule Next AdCom Meeting - Closing Remarks - Adjournment - Policy Proposal Discussion Virtual: https://events.vtools.ieee.org/m/479916

Often, the final step in the machine learning solution deployment step goes unfinished: monitoring. Data monitoring helps ensure data integrity for your applications and dashboards by identifying data drift and gaining insight into data changes. Model monitoring helps identify changes in model accuracy which can result from, e.g., changes in customer behavior as well as upstream data quality. In this session, you'll learn how to detect issues early and take corrective action before these issues have a significant impact, explore the monitoring problem, where it fits in the ML process, and how to use no-code data and model monitoring user interfaces in Autonomous Database. Join us to learn about this key MLOps topic along with demonstrations. Presenter: Mark Hornick, Senior Director, Oracle Machine Learning and AI Product Management Date: Thursday, May 1, 2025 | 9:00am Pacific / 12:00pm Eastern Speaker(s): Mark Hornick, Agenda: https://us02web.zoom.us/webinar/register/4017283227834/WN_u_aGl58mS5C-qsWlUj0gQg#/registration Please register in above link and here, too. We appreciate that for the visibility of our talks. Virtual: https://events.vtools.ieee.org/m/483320