Search:
Match:
2 results

Programmable Photonic Circuits with Feedback for Parallel Computing

Published:Dec 26, 2025 04:14
1 min read
ArXiv

Analysis

This paper introduces a novel photonic integrated circuit (PIC) architecture that addresses the computational limitations of current electronic platforms by leveraging the speed and energy efficiency of light. The key innovation lies in the use of embedded optical feedback loops to enable universal linear unitary transforms, reducing the need for active layers and optical port requirements. This approach allows for compact, scalable, and energy-efficient linear optical computing, particularly for parallel multi-wavelength operations. The experimental validation of in-situ training further strengthens the paper's claims.
Reference

The architecture enables universal linear unitary transforms by combining resonators with passive linear mixing layers and tunable active phase layers.

Research#Neural Networks🔬 ResearchAnalyzed: Jan 10, 2026 12:16

Ariel-ML: Optimizing Neural Networks on Microcontrollers with Embedded Rust

Published:Dec 10, 2025 16:13
1 min read
ArXiv

Analysis

This research introduces Ariel-ML, a promising approach for accelerating neural networks on resource-constrained devices using embedded Rust. The use of heterogeneous multi-core microcontrollers is a significant development, potentially expanding the application of AI in edge computing.
Reference

Ariel-ML employs embedded Rust for parallelization on heterogeneous multi-core microcontrollers.