Oct 2026· Laser & Photonics Reviews· 0 citations· 22 references
Neural Networks and Reservoir Computing
Abstract
Photonic spiking neural networks (PSNNs) leverage inherently discrete and event‐driven operations, thereby serving as a promising architecture for optical digital logic. However, limited physical degrees of freedom in current schemes often lead to non‐standardized encoding methods, thereby preventing the realization of diverse logic functions under a unified programmable framework. Here, we propose, experimentally demonstrate, and theoretically substantiate a multi‐wavelength injection strategy using a single intensity‐modulated Fabry–Pérot (FP) laser to successfully reconfigure all eight fundamental Boolean logic functions. Exploiting the FP laser's excitatory neuromorphic dynamics under temporally coincident multi‐wavelength optical injection, a four‐wavelength injection scheme is devised, comprising two primary logic inputs, alongside programmable calibration and compensation channels. By precisely engineering the total injected power through clock‐signal manipulation, flexible and reconfigurable digital logic operations are achieved via auxiliary‐channel control under fixed input‐port definitions. Comprehensive evaluations of repeatability, noise robustness, and calibrability thoroughly verify the platform's operational reliability. Benefiting from this robust computational foundation, the system is subsequently exploited to perform functional tasks, including image edge detection, fusion, as well as encryption and decryption. The proposed strategy provides a versatile, high‐speed, and energy‐efficient framework for optical digital computing, representing a significant step toward scalable photonic logic neuromorphic processors.
This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.
P. Abrahamsson, O. Salo, Jussi Ronkainen et al.· arXiv.org· 727 citations· ⚡54
The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.
M. Pikkarainen, Jukka Haikara, O. Salo et al.· Empirical Software Engineeri...· 401 citations· ⚡48
The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al.· Information and Software Tec...· 394 citations· ⚡54
The perception of the impact of agile methods is predominantly positive, and several challenge areas were discovered, but based on this study, agile methods are here to stay.
M. Laanti, O. Salo, P. Abrahamsson· Information and Software Tec...· 260 citations· ⚡20
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MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
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