Near-infrared (NIR) imaging is essential for biological and materials sensing, yet high-performance NIR detectors are often cost-prohibitive and plagued by high dark current. Nonlinear frequency upconversion offers a compelling solution by shifting NIR signals into the visible spectrum, allowing the use of mature silicon-based detectors. However, single-beam nonlinear imaging is often hampered by self-convolution effects in the spatial frequency domain (Fourier plane), leading to the loss of fundamental structural information. To circumvent this image degradation, upconversion edge imaging has traditionally required complex dual-beam configurations. Here, we demonstrate a single-beam nonlinear upconversion edge imaging scheme utilizing multilayer GaSe. By sequentially combining linear spatial filtering at the Fourier plane with frequency upconversion in real space, we successfully transform the NIR illumination into visible edge images. This approach achieves high-fidelity and high-resolution edge detection without the need for reference beams or stringent spatiotemporal alignment. Given that two-dimensional crystals bypass traditional phase-matching constraints, this compact and stable architecture provides a promising pathway for broadband, real-time infrared image processing and miniaturized optical computing.
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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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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