A Novel Computing Architecture Integrating Optoelectronics

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...

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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.

Fully integrated multi-mode optoelectronic memristor array for

This study reports a fully integrated 128 × 8 optoelectronic memristor array with Si complementary metal–oxide–semiconductor circuits, featuring configurable multi-mode functionality.

In-Sensor Computing With 2-D Semiconductor Optoelectronics: A

We highlight advancements in 2-D semiconductor-based in-sensor computing devices, focusing on material diversity, tunable photoresponsivity, device architectures, and operational

All-optical digital logic and neuromorphic computing based on multi

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.

Artilux unveils Inception hybrid optoelectronic AI architecture

New computing paradigm uses optoelectronic neurons to perform massive parallel operations without active cooling or advanced CMOS nodes. Artilux announced Inception, an AI

Artilux Introduces Hybrid Optoelectronic Architecture for Next

Artilux, a technology leader specializing in germanium-silicon (GeSi) photonic technology, has announced Inception™, an AI computing paradigm shift from conventional digital electronics to

Optoelectronic arrays for hybrid optical/electronic computing

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.

Large-scale neuromorphic optoelectronic computing with a

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

The integration of microelectronic and photonic circuits on a single

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

Artilux Announces Inception™: A Hybrid Optoelectronic Architecture

HSINCHU, April 15, 2026 /PRNewswire/ -- Artilux today announced Inception™, an AI computing paradigm shift from conventional digital electronics to novel hybrid optoelectronics, delivering

Integrated photonic neuromorphic computing: opportunities and

Neuromorphic photonics is an emerging computing platform that addresses the growing computational demands of modern society. We review advances in integrated neuromorphic

Intelligent photonic computing: From free-space to on

Principles and characteristics of novel free-space and on-chip photonic devices including 3D/2D metasurfaces, MZIs, and MRRs were

Optoelectronic Devices for In-Sensor Computing

Optoelectronic devices with high photoresponsivity, perception range, speed, energy efficiency, integration density, tunable plasticity, and multiple resistance states are ideal components

An All-Optical General-Purpose CPU and Optical Computer Architecture

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.

Novel Optoelectronic Reconfigurable Transistors Based on

In summary, a novel optoelectronic reconfigurable unit based on an Au-electrode-inserted graphene/VO 2 heterostructure was demonstrated, which emulates critical perception,

Nonlinear optoelectronic engine drives monolithic integrated photonic

Photonic computing, which harnesses the unique properties of light to perform computation, has emerged as a compelling alternative. This perspective highlights a key

Reconfigurable optoelectronic memristor for in-sensor computing

Besides, nonvolatile optoelectronic memristors provide a promising path for reconfigurable logic operations, greatly promoting the development of novel in-memory computing technology.

From Light to Logic: Recent Advances in Optoelectronic

By summarizing current research and proposing future directions, this review aims to guide the ongoing development of next-generation optoelectronic architectures,

Shanghai Institute of Optics and Fine Mechanics

Researchers have proposed a novel architecture, called the Optical Multi-Imaging-casting architecture (OMica), for high-precision, large-scale

Full hardware implementation of neuromorphic visual system based

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

Bio-inspired optoelectronic devices and systems for energy

This review proposes bio-inspired energy-efficient in-sensor computing utilizing emerging optoelectronic memristors, examining neural network architectures (fully connected/convolutional

3D Integration of functionally diverse 2D materials for

In short, we demonstrate the benefits of near-sensor and in-memory computing using 3D architecture for better information processing and for

Multifunctional neuromorphic optoelectronic computing using all 2D

This dual-input mechanism provides a novel approach for advanced optoelectronic applications. Therefore, integrating these device units into a phototransistor can fully leverage their

Integrated photonics: bridging the gap between optics and electronics

Optoelectronic computing combines the speed of photonics with the processing capabilities of electronics, enabling high-performance computing. Integrated sensing systems

Material properties of Ge2Sb2Te5. (a) Atomic structure of amorphous...

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.

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