Intelligent photonic computing: From free-space to on
The implementation of photonic devices and physical computing systems for AI computing was reviewed from free-space to on-chip platforms.
Researchers have proposed a novel architecture, called the Optical Multi-Imaging-casting architecture (OMica), for high-precision, large-scale optoelectronic parallel matrix computing accelerators usi...
HOME / A Novel Computing Architecture Integrating Optoelectronics - AITAF Advanced Infrastructure & Telecom Networks
The implementation of photonic devices and physical computing systems for AI computing was reviewed from free-space to on-chip platforms.
This study reports a fully integrated 128 × 8 optoelectronic memristor array with Si complementary metal–oxide–semiconductor circuits, featuring configurable multi-mode functionality.
We highlight advancements in 2-D semiconductor-based in-sensor computing devices, focusing on material diversity, tunable photoresponsivity, device architectures, and operational
Here, an all-optical neural dynamics framework, encompassing both excitatory and inhibitory behaviors based on multi-wavelength auxiliary and competition mechanism in an MRR, is proposed numerically.
New computing paradigm uses optoelectronic neurons to perform massive parallel operations without active cooling or advanced CMOS nodes. Artilux announced Inception, an AI
Artilux, a technology leader specializing in germanium-silicon (GeSi) photonic technology, has announced Inception™, an AI computing paradigm shift from conventional digital electronics to
This three-dimensional architecture uses wafer-scale integration for each of the planes, eliminating costly and space-consuming packaging at both the chip and board levels.
Here, we propose the reconfigurable diffractive processing unit, an optoelectronic fused computing architecture based on the diffraction of light, which can support different neural networks
Such an on-chip integration of microelectronics and photonics technologies could pave the way for significant breakthroughs in realizing high-speed, low-power consumption-based advanced
HSINCHU, April 15, 2026 /PRNewswire/ -- Artilux today announced Inception™, an AI computing paradigm shift from conventional digital electronics to novel hybrid optoelectronics, delivering
Neuromorphic photonics is an emerging computing platform that addresses the growing computational demands of modern society. We review advances in integrated neuromorphic
Principles and characteristics of novel free-space and on-chip photonic devices including 3D/2D metasurfaces, MZIs, and MRRs were
Optoelectronic devices with high photoresponsivity, perception range, speed, energy efficiency, integration density, tunable plasticity, and multiple resistance states are ideal components
Here, we demonstrate for the first time a scheme to enable general-purpose digital data processing in an integrated form and present our photonic integrated circuit (PIC) implementation.
In summary, a novel optoelectronic reconfigurable unit based on an Au-electrode-inserted graphene/VO 2 heterostructure was demonstrated, which emulates critical perception,
Photonic computing, which harnesses the unique properties of light to perform computation, has emerged as a compelling alternative. This perspective highlights a key
Besides, nonvolatile optoelectronic memristors provide a promising path for reconfigurable logic operations, greatly promoting the development of novel in-memory computing technology.
By summarizing current research and proposing future directions, this review aims to guide the ongoing development of next-generation optoelectronic architectures,
Researchers have proposed a novel architecture, called the Optical Multi-Imaging-casting architecture (OMica), for high-precision, large-scale
Inspired by the human visual cortex, neuromorphic visual systems with in-memory computing architecture have been proposed by integrating the image sensors with near-sensor
This review proposes bio-inspired energy-efficient in-sensor computing utilizing emerging optoelectronic memristors, examining neural network architectures (fully connected/convolutional
In short, we demonstrate the benefits of near-sensor and in-memory computing using 3D architecture for better information processing and for
This dual-input mechanism provides a novel approach for advanced optoelectronic applications. Therefore, integrating these device units into a phototransistor can fully leverage their
Optoelectronic computing combines the speed of photonics with the processing capabilities of electronics, enabling high-performance computing. Integrated sensing systems
It also provides an overview of the working principle of neuromorphic systems, a spiking neural network (SNN) implementation, and the comparative advantages over conventional computing architectures.