Terahertz binary computing in a coupled toroidal metasurface

Terahertz binary computing in a coupled toroidal metasurface

The study of Boolean operations is done via the change in the distance between the central resonator and the two other split resonators on the side of the central resonator. The initial configuration that was analyzed had a symmetrical structure with both the C resonators at a distance \(d_1=d_2=10\,\upmu\)m from the central SRR. The transmission …

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The next-generation triggers for CERN detectors

The next-generation triggers for CERN detectors

The recently launched Next-Generation Triggers project is set to remarkably increase the efficiency, sensitivity and modelling of CERN experiments The experiments at the Large Hadron Collider (LHC) require high-performance event-selection systems – known as “triggers” in particle physics – to filter the flow of data to manageable levels. The triggers pick events with distinguishing characteristics, such …

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A versatile single-photon-based quantum computing platform

A versatile single-photon-based quantum computing platform

Arute, F. et al. Quantum supremacy using a programmable superconducting processor. Nature 574, 505–510 (2019). Article  ADS  CAS  PubMed  Google Scholar  Zhu, Q. et al. Quantum computational advantage via 60-qubit 24-cycle random circuit sampling. Sci. Bull. 67, 240–245 (2022). Article  Google Scholar  Moses, S. A. et al. A race-track trapped-ion quantum processor. Phys. Rev. X …

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Researchers invent artificial intelligence model to design new superbug-fighting antibiotics

Researchers invent artificial intelligence model to design new superbug-fighting antibiotics

McMaster University’s Jonathan Stokes is one of the researchers who developed a new generative AI model which can design new antibiotics to stop the spread of one of the world’s most dangerous antibiotic-resistant bacteria. Credit: McMaster University Researchers at McMaster University and Stanford University have invented a new generative artificial intelligence model that can design …

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Fiber optic computing using distributed feedback

Fiber optic computing using distributed feedback

Operating principle The basic operating principle is outlined in Fig. 1. Data is first encoded in the time domain as a series of optical pulses. This pulse train is then injected into an optical fiber where it is partially reflected by a series of Rayleigh scattering centers. This distributed backscattering process randomly mixes the elements in …

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Machine-learning model tracks trends in public finance research

Machine-learning model tracks trends in public finance research

Credit: Pixabay/CC0 Public Domain What are the leading topics in public finance and budgeting, how have they changed, and what future topics should be more closely researched by professionals and practitioners? Can Chen and two of his former doctoral students, Shiyang Xiao at Syracuse University and Boyuan Zhao at Florida International University, used a machine-learning …

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New AI model designs proteins to deliver gene therapy

New AI model designs proteins to deliver gene therapy

ProteinVAE architecture. Encoder: pre-trained language model (for example, ProtBert) converts the input one-hot-encoded sequences to amino-acid-level representation H. Encoder CNN extracts crude sequence-level representation q, which is used as the fixed query vector in the bottleneck attention mechanism to produce the refined global representation z. Dimensionality of z is adjusted with a linear layer. Reparameterization …

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Gulls swap natural for urban habitats, machine-learning study finds

Gulls swap natural for urban habitats, machine-learning study finds

Predicted RIO for Short-billed Gulls based on a machine learning ensemble. The training data are plotted on top (pink dots = presence; green dots = absence). Credit: Ecological Informatics (2023). DOI: 10.1016/j.ecoinf.2023.102364 A recent study published in Ecological Informatics by a team of University of Alaska Fairbanks researchers has used artificial intelligence to further illuminate a habitat swap among …

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CERN software to become central hub for EU research

The next-generation triggers for CERN detectors

Over the last ten years, CERN-born Zenodo has evolved to store ever more scientific data. Today, a new project is set to ensure Zenodo’s position as a prime repository for EU research data (Image: Zenodo) What is the link between particle physics, the study of biodiversity and historical linguistics? The thirst for knowledge? Yes, but …

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