Speaker(s): Dick Jones Bldg: Training Room in the Shrewsbury Fire Dept., 11 Church Rd, Shrewbury, Massachusetts, United States, 01545, Virtual: https://events.vtools.ieee.org/m/416043

Self-driving cars have been a dream from almost the time the automobile was invented. With the rise of artificial intelligence (AI), this dream has seemingly become reality with driverless commercial operations already taking place in a handful of cities around the world. However, the recent tragic accident involving a pedestrian and a Cruise self-driving car, as well as a number of high-profile Tesla crashes, raise the possibility that such systems may not actually be as capable as envisioned, and questions have arisen about their safety both nationally and internationally. Given these concerns, it is important to step back and analyze both the actual safety records of these vehicles and just why AI is struggling to operate safely under all conditions in autonomous vehicles. This lecture will highlight the strengths and weaknesses of AI in self-driving cars, as well as in all safety-critical applications, and lay out a roadmap for safe integration of these technologies on public roadways. Virtual: https://events.vtools.ieee.org/m/417905

Berkshire Consultants Network Presents: The latest enabling technologies for electronic warfare (EW) Co-sponsored by: Berkshire Section Speaker(s): Denis Smetana, Sr. Product Manager, Processor Products at Curtiss-Wright Defense Solutions, Victor Vanderberg, Director of multi-domain electronic warfare (EW) | SRC Inc. , Dan Megan, Director Security Solutions-East, Star Lab Agenda: Military & Aerospace Electronics will present a webinar panel discussion on the latest enabling technologies for electronic warfare (EW). The panel discussion will consist of a prime EW systems integrator on the most important EW technologies needed from suppliers; a high-performance embedded computing expert from the Curtiss-Wright Corp. Defense Solutions Division on the latest embedded computing technologies for EW, and a trusted computing expert from Star Labs Software on some of the latest cyber security innovations for EW. Highlights will include EW enabling technologies that prime EW systems integrated need most from their suppliers; high-performance embedded computing technologies for EW, and cyber warfare and cyber security technologies for EW. Also included will be a short discussion on the future potential of quantum computing and quantum communications technologies that could influence EW systems design. Virtual: https://events.vtools.ieee.org/m/418767

Machine learning (ML) is the driving application of the next-generation computational hardware. How to design ML hardware to achieve a high performance, efficiency, and flexibility to support fast growing ML workloads is a key challenge. Besides dataflow-optimized systolic arrays and single instruction, multiple data (SIMD) engines, efficient ML accelerators have been designed to take advantage of static and dynamic data sparsity. To accommodate the fast-evolving ML workloads, matrix engines can be integrated with an FPGA to provide the efficiency of kernel computation and the flexibility of control. To support the increasing ML model complexity, modular chiplets can be tiled on a 2.5D interposer and stacked in a 3D package. We envision that a combination of these techniques will be required to address the needs of future ML applications. Speaker(s): Dr Zhengya Zhang, ***CANCELED*** Agenda: 6:00 PM - 7:00 PM EST : Talk 7:00 PM - 7:30 PM EST : Q/A Virtual: https://events.vtools.ieee.org/m/408028

Prof Mary (Missy) Cummings (Director of the Mason Autonomy and Robotics Center (MARC) at George Mason University, USA) will present "Self-Driving Cars: The Good, the Bad & the Ugly" at 6pm (UTC+1) / 1pm EDT on 30 April '24. Click (https://www.timeanddate.com/worldclock/fixedtime.html?msg=IEEE+SSIT+Lecture%3A+Self-Driving+Cars%3A+The+Good%2C+the+Bad+%26+the+Ugly&iso=20240430T18&p1=78&ah=1) (https://www.ieee-ukandireland.org/chapters/society-on-social-implications-of-technology/) and SSIT IST-Africa SIGHT are cooperating with a number of IEEE OUs including: New Jersey Coast Section SIGHT; New Jersey Coast IM/Computer Joint Chapter; IEEE Region 1; IEEE Region 2; Vancouver Section Jt. Chapter,TEM14/PC26/E25/SIT30; North Jersey Section SSIT Chapter; Susquehanna Section Computer Chapter; Southeast Michigan Section Vehicular Technology Chapter; Phoenix Section Computer Chapter; Vancouver Section Jt Transportation Chapter, (https://www.ieee-ukandireland.org/chapters/computational-intelligence/); (https://www.ieee-ukandireland.org/chapters/computer-society/), (https://www.ieee-ukandireland.org/chapters/vehicular-technology/) (https://www.ieee-ukandireland.org/chapters/oceanic-engineering-chapter/), Chicago Section Computer Society Chapter and Vehicular Technology Chapter to organise this SSIT Lecture as a joint Webinar on 30 April '24. Registration IEEE and SSIT Members as well as non-IEEE Members are invited to (https://events.vtools.ieee.org/m/406173) and participate. IEEE Members should include their IEEE Membership Number when registering. Access to online Meeting (https://events.vtools.ieee.org/m/406173) will be provided with the link prior to the event. Guest Lecture Focus Self-driving cars have been a dream from almost the time the automobile was invented. With the rise of artificial intelligence (AI), this dream has seemingly become reality with driverless commercial operations already taking place in a handful of cities around the world. However, the recent tragic accident involving a pedestrian and a Cruise self-driving car, as well as a number of high-profile Tesla crashes, raise the possibility that such systems may not actually be as capable as envisioned, and questions have arisen about their safety both nationally and internationally. Given these concerns, it is important to step back and analyze both the actual safety records of these vehicles and just why AI is struggling to operate safely under all conditions in autonomous vehicles. This lecture will highlight the strengths and weaknesses of AI in self-driving cars, as well as in all safety-critical applications, and lay out a roadmap for safe integration of these technologies on public roadways. Speaker(s): Prof Missy Cummings, Agenda: 18:00 (UTC+1) Welcome and Introduction to Guest Speaker 18:05 Lecture 18:45 Questions and Discussions Virtual: https://events.vtools.ieee.org/m/406173

IEEE Reliability Society- Joint Boston/New Hampshire/Providence Chapter Adcom meeting. Virtual: https://events.vtools.ieee.org/m/419174

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 physical constraints remains a significant challenge, as existing scheduling solutions often fall short of addressing the complexities involved in a comprehensive manner. This talk by Dr. Mehmet E. Belviranli delves into the intricate world of creating efficient compute schedules for CPS that not only cater to their diverse computational hardware but also adhere to real-world constraints critical for system safety. We begin by examining the role of neural network (NN) inference in CPS, exploring strategies to balance energy consumption, latency and throughput by distributing the layers of NN across different accelerators. We then introduce a novel, end-to-end framework that integrates physical constraints, heterogeneous computational resources, and latency considerations into a cohesive mixed-integer linear problem, demonstrating through case studies how this approach yields optimal scheduling solutions under varied conditions. Through this exploration, we aim to shed light on the untapped potential of heterogeneous computing in enhancing the reliability and performance of CPS. We will also outline future directions in developing a more robust ecosystem for these complex computing environments, highlighting our contribution to this evolving field. Speaker(s): Dr. Belviranli Virtual: https://events.vtools.ieee.org/m/417666

Join us Thursday, 2 May, for a Special IEEE-USA Washington Update to learn about how the Creating Resources for Every American To Experiment with Artificial Intelligence Act of 2023 (CREATE AI Act) shapes AI development. Our special guest, Katerina (Katie) Antypas from the National Science Foundation, will delve into the establishment of the National Artificial Intelligence Research Resource (NAIRR)—a vital hub for AI researchers and students. Speaker(s): Katerina (Katie) Antypas Virtual: https://events.vtools.ieee.org/m/417483

As the power industry embraces digitalization, the integration of IEC 61850 and Digital Twin technology offers a revolutionary approach to optimizing substation operations. This webinar explores the potential of leveraging Digital Twins with IEC 61850 in substation protection relay automation, highlighting the numerous benefits this synergy brings to the field. From enhanced testing and improved interoperability to increased efficiency in power transmission and distribution, this webinar promises valuable insights into the future of smart grid applications. Speaker(s): Mr Andrea Bonetti Virtual: https://events.vtools.ieee.org/m/416069

COURSE DESCRIPTION Course Kick-off / Orientation Thursday, April 18, 6:00PM – 6:30PM. Live Workshops: 6:00PM – 7:30PM, Thursdays, April 25, May 2, 9, 16, 23 Registration is open through the last live workshop date. Live workshops are recorded for later use. Attendees will have access to the recorded session and exercises for two months (until July 23, 2024) after the live session ends! Registration Fees: IEEE Member Fee (by April 11th): $190.00 IEEE Member Fee (after April 11th): $285.00 IEEE Non-Member Fee (by April 11th): $210.00 IEEE Non-Member Fee (after April 11th) $315.00 Decision to run/cancel course: Friday, April 12, 2024 COURSE DESCRIPTION New Format Combining Live Workshops with Pre-recorded Video This is a hands-on course providing pre-recorded lectures that students can watch on their own schedule and an unlimited number of times prior to live Q&A/Workshop sessions with the instructor. Ten 1.5 hour videos released 2 per week while the course is in session will be available for up to two months after the conclusion of the course. Course Summary This course is a fresh view of the fundamental and practical concepts of digital signal processing applicable to the design of mixed signal design with A/D conversion, digital filters, operations with the FFT, and multi-rate signal processing. This course will build an intuitive understanding of the underlying mathematics through the use of graphics, visual demonstrations, and applications in GPS and mixed signal (analog/digital) modern transceivers. This course is applicable to DSP algorithm development with a focus on meeting practical hardware development challenges in both the analog and digital domains, and not a tutorial on working with specific DSP processor hardware. Now with Jupyter Notebooks! Speaker(s): Dan Boschen, Agenda: Topics / Schedule: Pre-recorded lectures: (3 hours each) will be distributed Friday prior to each week’s workshop dates. Workshop/Q&A Sessions are 6 – 7:30PM on the dates listed below. Kick-off / Orientation: Thursday, April 18, 2024 Class 1: April 25, 2024: Correlation, Fourier Transform, Laplace Transform Class 2: May 2, 2024: Sampling and A/D Conversion, Z –transform, D/A Conversion Class 3: May 9, 2024: IIR and FIR Digital filters, Direct Fourier Transform Class 4: May 16, 2024: May Windowing, Digital Filter Design, Fixed Point vs Floating Point Class 5: May23, 2024: Fast Fourier Transform, Multi-rate Signal Processing, Multi-rate Filters Virtual: https://events.vtools.ieee.org/m/400076

A smorgasbord of analog treats awaits you as our resident Analog Guru, John Dunn, touches upon a variety of topics taken from his popular (https://www.edn.com/category/blog/living-analog-blog/) published by the EDN Network on EDN.com. Topics for this lecture include these and more: - Control of a power inverter’s operating frequency. - A look at telephone dial tone signals, 1954 and today. - Birds’ avoidance of high-tension power lines. - Gaussian probability distribution derivation. - Bimetallic strip constructions and applications. - Feed-forward cancellation of amplifier distortion. - Push-pull amplifier class of operation choices. - Worst case analysis of rail voltage decoupling. - Microwave oven choke flange. - Calculating octaves and decades of arbitrary ratios. - Zero offset lowpass filter and op-amp selection. - Low distortion but high power speaker system. - The difference between EMF and voltage. - The Leyden jar. - Smith Chart mathematics. - Transfer function trigonometric booby trap. - Storage life of idled LED light bulbs. - A look at the Hindenberg disaster. Speaker(s): John Dunn Agenda: 7:00 PM Networking 7:20 PM Presentation Virtual: https://events.vtools.ieee.org/m/416852

Join SBRT, IEEE, WiCS, SRT, TBP, BMES, NSBE, ASCE, and SBCS at the annual Engineering Ball for some food and performances by students in the engineering community! Alan DeVries Center, 2nd Floor, Stony Brook, New York, United States, 11790

Join us for an enlightening webinar on the science of pain, presented by Dr. Garcia, a distinguished physical therapist and researcher. With a rich background in physical therapy, orthopedics, and pain neuroscience, Dr. Garcia brings a wealth of knowledge from his clinical and academic experiences. His research interests span manual therapy, dry needling, and pain neuroscience education for chronic pain patients. In this webinar, he will delve into the science behind pain, drawing from his doctoral work on stabilization exercise programs and manual therapy for chronic low back pain. As a Board Certified Orthopedic Clinical Specialist and a Fellow of the American Academy of Orthopedic Manual Physical Therapists, Dr. Garcia's insights promise to be both informative and practical. Don't miss this opportunity to learn from a leading expert in the field. Virtual: https://events.vtools.ieee.org/m/418506

DigiKey will be hosting a workshop with IEEE at SBU on XRP! Join us for a chance to win some free Starbucks gift cards! Room: 102, Light Engineering, Stony Brook, New York, United States, 11790

Executive board meeting to plan for Spring 2024 Room: 175, Bldg: Light Engineering, Light Engineering, Stony Brook, New York, United States, 11790

Co-sponsored by: IEEE North Jersey Section and IEEE AP-S COPE Speaker(s): Vishal Kumar Agenda: Registration for the event and refreshments/dinner are complimentary. Venue: EE-240, located at 94 Brett Rd, Electrical and Computer Engineering, Piscataway, NJ 08854, For parking, attendees should provide the following details during registration: name, license plate number, state, make, and vehicle color. This will allow us to gather the necessary information to create temporary parking permits. For additional information about the venue and parking permit, please contact Dr. Minning Zhu (Email: [email protected]) +1 732-421-3305 For those unable to attend the event in person, there is an option to join remotely. Please use the provided Zoom Meeting link to join. https://rutgers.zoom.us/j/97714493672?pwd=MDdnNWtEMkE3eTJHSkxCZkNQWmpTdz09 Meeting ID: 977 1449 3672 Password: 961135 Join by SIP [email protected] One tap mobile +16465588656,,97714493672# US (New York) +16469313860,,97714493672# US Join By Phone +1 646 558 8656 US (New York) +1 646 931 3860 US +1 301 715 8592 US (Washington DC) +1 305 224 1968 US +1 309 205 3325 US +1 312 626 6799 US (Chicago) +1 669 444 9171 US +1 669 900 9128 US (San Jose) +1 689 278 1000 US +1 719 359 4580 US +1 253 205 0468 US +1 253 215 8782 US (Tacoma) +1 346 248 7799 US (Houston) +1 360 209 5623 US +1 386 347 5053 US +1 507 473 4847 US +1 564 217 2000 US Meeting ID: 977 1449 3672 Find your local number: https://rutgers.zoom.us/u/abFj6Hq61r Room: EE-240, Bldg: Electrical and Computer Engineering, 94 Brett Rd, 604 Bartholomew Road , Piscataway, New Jersey, United States, 08854