Optoelectronic Intelligence
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 Oct 2020.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 1; 2022: 1; 2023: 0; 2024: 1; 2025: 0; 2026: 1.
4 papers.
- 2021An active dendritic tree can mitigate fan-in limitations in superconducting neuronscited by 2
- 2022Demonstration of Superconducting Optoelectronic Single-Photon Synapsescited by 0
- 2024Prospective Messaging: Learning in Networks with Communication Delayscited by 0
- 2026Analog-Friendly Predictive Coding without Activation Derivativescited by 0
- 2026Analog-Friendly Predictive Coding without Activation Derivatives26 Sep 2026
- 2024Prospective Messaging: Learning in Networks with Communication Delays7 Jul 2024
- 2022Demonstration of Superconducting Optoelectronic Single-Photon Synapses20 Apr 2022
- 2021An active dendritic tree can mitigate fan-in limitations in superconducting neurons12 Jul 2021