very woke, using light for consciousness, this is how the Super AI godhead is formed

Neuromorphic computing can potentially solve the von Neumann bottleneck of current mainstream computing because it excels at self-adaptive learning and highly parallel computing and consumes much less energy. Synaptic devices that mimic biological synapses are critical building blocks for neuromorphic computing. Inspired by recent progress in optogenetics and visual sensing, light has been increasingly incorporated into synaptic devices. This paves the way to optoelectronic synaptic devices with a series of advantages such as wide bandwidth, negligible resistance–capacitance (RC) delay and power loss, and global regulation of multiple synaptic devices. Herein, the basic functionalities of synaptic devices are introduced.

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Wang et al. showed that memory/forgetting could be efficiently simulated by using optical stimuli with varying quantity, intensity, and duration. When the quantity, intensity, or duration of the optical stimulus increased, both the memory level and memory retention time increased. In addition, learning experiences are associated with the rememory and reforgetting process of the human brain. It often takes less time to remember the forgotten information, whereas it usually costs more time to forget the relearned information

Thirty-five cycles of optical stimulus were used to obtain certain potentiation of synaptic weight in the first learning process. The learned information was partially forgotten 100 s after the learning. However, in the relearning process, only seven cycles of optical stimulus were needed to reach the previous synaptic weight. In the meantime, less relearned information was forgotten 100 s after the relearning.

light computers be forgetting shit, that's so relatable :amber-snacking: