Titanium:sapphire-on-insulator photonics for on-chip lasers and amplifiers https://www.eventbrite.com/e/1045471723067?aff=oddtdtcreator Abstract: Titanium-doped sapphire (Ti:Sapphire) lasers have enabled significant breakthroughs and technologies throughout the past decades, from the development of the optical frequency comb to multiphoton microscopy of biological tissues. Ti:Sapphire lasers are unmatched in bandwidth and tuning range, and as a result, are indispensable in areas such as atomic physics and quantum optics. Despite the utility of Ti:Sapphire lasers, their use is severely restricted due to their large size, cost, and need for high optical pump powers. In this presentation, I will introduce our work on the development of a monocrystalline Titanium:Sapphire-on-insulator (Ti:SaOI) photonics platform, which enables dramatic miniaturization, cost-reduction, and scalability of Ti:Sapphire technology. [] Bio: Joshua Yang is the CEO and Co-Founder of Brightlight Photonics, a company which is commercializing integrated Ti:Sapphire laser technology. Joshua completed his BS at The University of Texas at Austin, and obtained his PhD from Stanford University, where he led the work on developing an integrated Ti:Sapphire photonics platform. In-Person Meeting Wednesday, November 20, 2024 11:30 AM: Networking, Pizza & Drinks Noon -- 1 pm: Seminar -------- Please register on Eventbrite before 9:30 AM on Wednesday, November 20 Co-sponsored by: SCV/SF Jt. Section Chapter, ED15 Joint Chapter Agenda: 11:30 AM: Networking, Pizza & Drinks Noon -- 1 pm: Seminar Covalent Metrology, 923 Thompson Pl, Sunnyvale, California, United States, 94085

Abstract The previously discrete technologies of Cyber-Physical/IoT Systems (CPS-IoT) and AI/ML have recently entered a tight, virtuous embrace. CPS-IoT technologies allow MEMS sensing and interventions in our physical, social, and urban spaces with unimaginable ubiquity. AI/ML methods allow sophisticated inferences and decisions to be made algorithmically using neural and neurosymbolic architectures, even from unstructured and high-dimensional spatiotemporal data, with uncanny performance. Together, they perform sophisticated perception-cognition-communication-action loops in diverse applications. After briefly discussing the current state of AI/ML methods for sensing in CPS-IoT systems, I will focus on the new opportunities and challenges for CPS-IoT emerging from Foundation Models, including Large Language/Multimodal Models, that have caused tremendous and broad excitement in AI. Based on preliminary research findings, the talk will provide insights into (i) the role that LLMs -- with their world knowledge, ability to process sequences, and reasoning capabilities – can play in sophisticated MEMS sensor data analytics in CPS-IoT systems, (ii) the current capabilities and unresolved challenges of emerging foundation models focused on sensory data streams in the CPS-IoT domain. Speaker(s): Prof. Mani Srivastava, Agenda: 6:30 – 7:00 PM Registration & Networking 7:00 – 7:45 PM Invited Talk 7:45 – 8:00 PM Questions & Answers Virtual: https://events.vtools.ieee.org/m/444309