Spatio-temporal Control of Electromagnetic Fields in Integrated Systems from RF-to-Terahertz-to-Optics: Methods and Applications
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Cloud computing plays an integral role in almost every aspect of today's IT-driven society. The ever-increasing scale and complexity of public cloud infrastructure, together with the wide range of services enabled by it, make it easy to leave efficiency behind. Efficiency has always been crucial for cloud providers due to the massive capital expenditure. However, it has become much more relevant as the free ride of Moore's Law and Dennard Scaling is nearing an end.
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Machine learning (ML) algorithms automate the data-label mapping and decision-making processes. The output of the ML algorithms determines the next step in real-world applications. It is desirable to have ML-based systems that are simultaneously accurate, secure, energy-efficient, low-cost, silently operable, maintainable, customizable, low-delay, and scalable. However, there are tradeoffs among these design goals that impact overall system complexity. In this talk, we will be focusing on the accuracy, security, and energy-efficiency objectives.
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Nanofabrication has enabled rapid development of state-of-the-art electronic and optical devices. With nanofabricated feature size going down to become comparable, or even smaller than, the visible wavelength, some unique optical properties, which are different from their macroscale behaviours, appear. Nanostructure engineering enables us to exploit these unique properties to achieve highly efficient, compact and cheap optical devices.
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Please contact Jean Bausmith (jb6@princeton.edu) for details