Photonic technologies are at the forefront of the ongoing 4th industrial revolution of digitalization supporting applications such as 5G networks, virtual reality, autonomous vehicles, and electronic warfare. With Moore’s law and Dennard scaling now being limited by fundamental physics, the trend in processor heterogeneity suggests the possibility for special-purpose photonic processors such as neural networks or RF-signal & image filtering. Here unique opportunities exist, for example, given by algorithmic parallelism of analog and distributed non-van Neumann architectures enabling non-iterative O(1) processors with ps-short delay introducing real-time decision making.
In this webinar hosted by the Photonic Detection Technical Group, Prof. Volker Sorger and Prof. Puneet Gupta will share their latest work on photonic information processors to include a massively-parallel Fourier-optic convolutional neural network processor [OPTICA], network-architectural-search explorations, a photonic tensor core including a non-volatile photonic RAM enabling compute-in-memory [Appl. Phys. Rev.] and mirror symmetry perception via coincidence detection of spiking neural networks [arXiv]. In summary, photonics connects the worlds of electronics and optics, thus enabling new concepts of efficient intelligence information processing via algorithm-hardware homomorphism empowered by the distinctive properties of light.
Subject Matter Level: Intermediate - Assumes basic knowledge of the topic
What You Will Learn:
• An overview of the emerging field of optoelectronic computing
• Amplitude-only Fourier-optical neural networks
Who Should Attend:
• Researchers, scientists, and graduate students in photonics, optics, and optical computing