Documentary Night: The Sun Queen

Virtual: https://events.vtools.ieee.org/m/410227

[]For nearly 50 years, chemical engineer and inventor Mária Telkes applied her prodigious intellect to harnessing the power of the sun. She designed and built the world’s first successfully solar-heated modern residence and identified a promising new chemical that, for the first time, could store solar heat like a battery. And yet, along the way, she was undercut and thwarted by her boss and colleagues — all men — at MIT. Despite these obstacles, Telkes persevered and, upon her death in 1995, held more than 20 patents. She is now recognized as a visionary pioneer in the field of sustainable energy. An unexpected and largely forgotten heroine, Telkes was remarkable in her vision and tenacity — a scientist and a woman in every way ahead of her time. Her research and innovations from the 1930s through the ‘70s continue to shape how we power our lives today AFTER the documentary - we can have a brief discussion session. NOTE: You must supply your own soda pop and popcorn! :-) Trivia may also follow, so bring your Jeopardy hats too! If you registered for the original event, you are already included in the Webex link notification that will go out the morning of this re-screening. Agenda: 6:00 PM - Welcome and Introductions, Chapter business update; (on your own) Pizza, Popcorn and Soda Pop 6:05 PM - Documentary 7:05 PM - End of Documentary; Start of Q & A; Group Discussion 7:15 PM - Wrap Up ALL times are in EST/EDT (UTC-4 or UTC-5) depending upon local day light savings times in when effect Virtual: https://events.vtools.ieee.org/m/410227

Machine Learning Hardware Design for Efficiency, Flexibility and Scalability

Virtual: https://events.vtools.ieee.org/m/408028

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, 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

On Safe Autonomous Driving: Past, Present, and Future

Room: 426, Bldg: Beatty Hall, 550 Huntington Ave, Boston, Massachusetts, United States, 02115

In this distinguished lecture, Dr. Mohan Trivedi from the University of California, San Diego, will highlight major research milestones in the autonomous vehicles area and discuss issues that require deeper, critical examination and careful resolution to ensure the safe, reliable, and robust operation of these highly complex systems in the real world. Speaker(s): , Dr. Mohan Trivedi Room: 426, Bldg: Beatty Hall, 550 Huntington Ave, Boston, Massachusetts, United States, 02115