A fault tolerant framework for distributed training with negligible overhead
Peer-Reviewed Publication
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Centrosomes are nonmembrane organelles and responsible for microtubule nucleation and organization. Centrosomal RNAs have been identified in diverse model systems and are known to regulate gene expression during cell division in many species. However, whether and how centrosomal RNAs exist in C. elegans and, if yes, their functions and mechanisms remain unclear. A recent study published in SCIENCE CHINA Life Sciences explored the potential presence and biogenesis of peri-centrosome localized small interfering (si)RNAs in C. elegans by utilizing the nuclear RNAi Argonaute protein NRDE-3 as a reporter. The findings suggest that the peri-centrosomal region may serve as a platform for RNAi-mediated gene regulation, offering new insights into centrosomal (si)RNAs.
Researchers from the School of Metallurgy and Environment at Central South University, together with their collaborators, have proposed a novel buried interface strategy for stabilizing zinc anodes. The zincophilic Sn layer is buried under the corrosion-resistant ZnS layer (SZS), which effectively solves the dendrite formation and corrosion problems. The zinc anodes coated with SZS exhibit significantly enhanced cycling stability and long-term performance. This buried interface engineering strategy offers a promising avenue for the rational design of zinc anodes in rechargeable batteries, potentially advancing energy storage technology.
A landmark review in Molecular Biomedicine outlines cutting-edge strategies to combat tuberculosis (TB), highlighting novel vaccines, AI-driven antigen discovery, and next-gen therapies to address drug-resistant strains and improve global TB control.
Addressing the longstanding challenges of multi-mode fiber (MMF) transmission, the research team led by Prof. Qiming Zhang and Associate Prof. Haoyi Yu from the School of Artificial Intelligence Science and Technology (SAIST) at the University of Shanghai for Science and Technology (USST) has introduced a groundbreaking solution. The team successfully integrated miniaturized multilayer optical diffractive neural networks (DN2s) onto the distal end of MMFs, enabling full-optical image transmission. Regarded as an ONN, the free-space diffractive neural networks (DN2s), have been proposed as more efficient ANN approaches based on deep learning to directly process the optical matrix multiplication at the speed of light, and realizing the high number of connectivity in ANNs, such as optical image classification, decryption and phase detection.
In an article featured in Science China Earth Sciences, researchers from Tianjin University elucidate the coupling relationship between soil fungi and reactive minerals in ecosystems by utilizing global fungal carbon stocks, mineral-associated carbon stocks, and high-resolution nanoscale secondary ion mass spectrometry. They also reveal the mechanisms of fungal-nanoparticle interactions belowground. These findings provide new insights into the critical role of microorganisms in soil carbon stability and storage.