Adaptive method helps light-based quantum processors act more like neural networks

A step toward practical photonic quantum neural networks
A new approach to photonic neural networks incorporates adaptive photon injection during the pooling stage. Credit: L. Monbroussou et al., doi 10.1117/1.AP.7.6.066012

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language translation. A quantum counterpart—known as a quantum convolutional neural network (QCNN)—could process information more efficiently by using quantum states instead of classical bits.

Photons are fast, stable, and easy to manipulate on chips, making photonic systems a promising platform for QCNNs. However, photonic circuits typically behave linearly, limiting the flexible operations that neural networks need.

Adaptive state injection in photonic QCNNs
In a study published in Advanced Photonic...

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After nearly 100 years, scientists may have detected dark matter

After nearly 100 years, scientists may have detected dark matter
Gamma-ray intensity map excluding components other than the halo, spanning approximately 100 degrees in the direction of the Galactic center. The horizontal gray bar in the central region corresponds to the Galactic plane area, which was excluded from the analysis to avoid strong astrophysical radiation. Credit: Tomonori Totani, The University of Tokyo

In the early 1930s, Swiss astronomer Fritz Zwicky observed galaxies in space moving faster than their mass should allow, prompting him to infer the presence of some invisible scaffolding—dark matter—holding the galaxies together. Nearly 100 years later, NASA’s Fermi Gamma-ray Space Telescope may have provided direct evidence of dark mattner, allowing the invisible matter to be “seen” for the very first time.

The elusive nature of ...

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Certain immune cell subtypes drive lupus, study finds

New immune cell suspects in lupus
scRNA-seq reveals altered cellular composition of CD4+ T cells in SLE. Credit: Nature Immunology (2025). DOI: 10.1038/s41590-025-02297-2

Detailed mapping of CD4⁺ T cells from children with systemic lupus erythematosus (SLE) has revealed distinct immune cell subsets with likely roles in disease pathogenesis, according to a study led by Weill Cornell Medicine investigators. The findings are poised to redirect lupus research and open the door to more precise therapies that avoid broad immune suppression.

Published in Nature Immunology, the study used single-cell RNA sequencing to profile CD4⁺ T-cell subtypes from children with SLE and healthy controls...

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Moisture-driven power generator delivers stable electricity even in dry air conditions

Mechanical engineering research team develops innovative moisture-driven power generator
Credit: Advanced Functional Materials (2025). DOI: 10.1002/adfm.202419710

As artificial intelligence (AI) and smart gadgets become more common, our need for reliable power sources grows. Renewable energy options like solar and wind are great, but they depend on specific conditions. A research team led by Professor Dong-Myeong Shin from the Department of Mechanical Engineering at the University of Hong Kong (HKU) has developed a novel moisture-activated electricity generator (MEG) that offers a fresh, eco-friendly way to generate electricity—just from moisture in the air.

Their findings have been published in the journal Advanced Functional Materials in an article titled “Long-Lasting Moisture Energy Scavenging in Dry Ambient Air Empowered by a Salt Concentration-Gradient Cationi...

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