paper-with-me

홈 › Papers

Optoelectronic Intelligence

2020-10-17 · Jeffrey M. Shainline

To design and construct hardware for general intelligence, we must consider principles of both neuroscience and very-large-scale integration. For large neural systems capable of general intelligence, the attributes of photonics for communication and electronics for computation are complementary and interdependent. Using light for communication enables high fan-out as well as low-latency signaling across large systems with no traffic-dependent bottlenecks. For computation, the inherent nonlinearities, high speed, and low power consumption of Josephson circuits are conducive to complex neural functions. Operation at 4\,K enables the use of single-photon detectors and silicon light sources, two features that lead to efficiency and economical scalability. Here I sketch a concept for optoelectronic hardware, beginning with synaptic circuits, continuing through wafer-scale integration, and extending to systems interconnected with fiber-optic white matter, potentially at the scale of the human brain and beyond.

📄 PDF Abstract BibTeX arXiv:2010.08690

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Identifying and understanding the positive impact of defects and traps for perovskites optoelectronic devices

2020-12-10 · YH Deng

Abstract: Defects are generally regarded to have negative impact on carrier recombination, charge-transport and ion migration in perovskite materials, which thus lower the efficiency and stability of perovskite optoelect…

Charge trapping in lead halide perovskites enhanced the performance of optoelectronic devices

2020-12-10 · Dr Yu-Hao Deng

[Deng Y H. Can defects be positive in perovskite optoelectronic devices?[J]. arXiv preprint arXiv:2012.04346, 2020. https://arxiv.org/abs/2012.04346] Abstract: Defects are generally regarded to have negative impact on…

Physical Deep Learning with Biologically Plausible Training Method

2022-04-01 · Mitsumasa Nakajima, Katsuma Inoue, Kenji Tanaka, Yasuo Kuniyoshi 외

The ever-growing demand for further advances in artificial intelligence motivated research on unconventional computation based on analog physical devices. While such computation devices mimic brain-inspired analog inform…

Biologically-plausible TrainingDeep Learning

Defects in Perovskites Have Positive Impact on Optoelectronic Devices

2020-12-08 · Applied Physics

Defects are generally regarded to have negative impact on carrier recombination, charge-transport and ion migration in perovskite materials, which thus lower the efficiency and stability of perovskite optoelectronic devi…

Izhikevich-Inspired Optoelectronic Neurons with Excitatory and Inhibitory Inputs for Energy-Efficient Photonic Spiking Neural Networks

2021-05-03 · Yun-jhu Lee, Mehmet Berkay On, Xian Xiao, Roberto Proietti 외

We designed, prototyped, and experimentally demonstrated, for the first time to our knowledge, an optoelectronic spiking neuron inspired by the Izhikevich model incorporating both excitatory and inhibitory optical spikin…