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  • Influence of programming-pulse properties on weight-update characteristics of charge-trapping IGZO synaptic transistors

  • Kudithipudi, D. et al. Neuromorphic computing at scale. Nature 637 (8047), 801–812 (2025).

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  • Indiveri, G. & Shih-Chii, L. Memory and information processing in neuromorphic systems. Proceedings…

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  • Clinical and imaging characteristics of NOTCH3-negative CADASIL-suspected patients with NOTCH2NLC GGC repeat expansions

  • Sone J, Mori K, Inagaki T, Katsumata R, Takagi S, Yokoi S, et al. Clinicopathological features of adult-onset neuronal intranuclear inclusion disease. Brain. 2016;139:3170–86.

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    PubMed 
    PubMed Central 

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  • Trump’s new science advisers include 12 technology chiefs — and one academic

    Trump’s new science advisers include 12 technology chiefs — and one academic

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    Facebook co-founder Mark Zuckerberg (left) has been named to President Trump’s science and technology advisory council. Credit: Will Oliver/EPA/Bloomberg via Getty

    US President Donald Trump has named 13 people to his panel of science advisers…

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  • PMMA/pPFPA membrane with low content of modified TiO2 nanoparticles for effective retention of pharmaceuticals from water

  • Kutil, Z., Novotna, K., Cermakova, L. & Pivokonsky, M. Tunnel vision in the drinking water research field – Time for non-targeted analysis implementation? Sci. Total Environ. 908, 168367 (2024).

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  • SODNet: a scale-oriented detection network for efficient UAV-based sewage outfall detection

  • Woodward, J., Li, J., Rothwell, J. & Hurley, R. Acute riverine microplastic contamination due to avoidable releases of untreated wastewater. Nat. Sustain. 4, 793–802 (2021).

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  • Stark, J. S. et…

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  • Identification of dynamic driving styles based on behavioral primitives

  • Liu, X. et al. Trajectory prediction of preceding target vehicles based on lane crossing and final points generation model considering driving styles. IEEE Trans. Veh. Technol. 70, 8720–8730 (2021).

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  • ResSeMo: deep convolutional neural network integration for high-accuracy waste classification and efficient processing

  • Kaya, M., Ulutürk, S., Kaya, Y. Ç., Altıntaş, O. & Turan, B. Optimization of several deep CNN models for waste classification. Sakarya Univ. J. Comput. Inf. Sci. 6, 91–104 (2023).

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  • Islam,…

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  • Minimally supervised learning on sub-meter satellite imagery reveals slum expansion during the COVID-19 pandemic

    Minimally supervised learning on sub-meter satellite imagery reveals slum expansion during the COVID-19 pandemic

    Datasets

    We utilized datasets from the following cities: Cairo (Egypt), Cape Town (South Africa), Caracas (Venezuela), Colombo (Sri Lanka), Karachi (Pakistan), Medellín (Colombia), Mumbai (India), Nairobi (Kenya), Ouagadougou (Burkina Faso), Rio…

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  • LogoXpertNet: a novel lightweight logo classification using deep learning

  • Hou, S. et al. Deep learning for logo detection: A survey. ACM Trans. Multimed. Comput. Commun. Appl. 20, 1–23 (2023).

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  • Wang, J. et al. Logodet-3k: A large-scale image dataset for logo…

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