This section describes the experiments and the results. Experiment preparation In our approach, a dataset comprising 6000 images has been used to train the autoencoder. The trained model will be used in the experiments to perform dimensionality reduction with the image data at the edge. The training performed on a machine has the following benefits: …
A micropore device Micropores (3 µm in diameter) were fabricated on a 50 nm-thick silicon nitride film cast on a silicon substrate. The silicon substrate was sandwiched between a 25 mm × 25 mm 0.5-mm-thick plastic channel. This structure is termed “a micropore module” or “a module” (Fig. 1a, b). Bacterial suspensions (18 µL) in 1× phosphate buffered saline (PBS) and PBS (15 …
Download the Nature Podcast 20 March 2024 In this episode: 00:48 How mysterious skyrmions could power next-generation computers Skyrmions are tiny whirlpools of magnetic spin that some researchers believe have useful properties that could unlock new kinds of computing. However getting skyrmions to perform useful computational tasks has been tricky. Now researchers have developed a …
Classical reservoir computing We start with a nonlinear dynamical network of N variables of the following general form, $$\dot{{{{{{{{\bf{x}}}}}}}}}(t)={{{{{{{\boldsymbol{f}}}}}}}}[{{{{{{{\bf{x}}}}}}}}(t)],$$ (1) where \({{{{{{{\bf{x}}}}}}}}(t)={[{x}_{1}(t),\ldots,{x}_{N}(t)]}^{\top }\) denotes the N-dimensional (N-D) state of the system at time t, and \({{{{{{{\boldsymbol{f}}}}}}}}[{{{{{{{\bf{x}}}}}}}}(t)]={\left({f}_{1}[{{{{{{{\bf{x}}}}}}}}(t)],{f}_{2}[{{{{{{{\bf{x}}}}}}}}(t)],\ldots,{f}_{N}[{{{{{{{\bf{x}}}}}}}}(t)]\right)}^{\top }\) is the N-D nonlinear vector field. In this article, we assume that neither the vector field f (equivalently, …
Recommender system architecture At present, the mainstream recommendation system architecture mainly includes four parts: the underlying basic data, the storage of data analysis, the recommendation calculation, and the business application25. In Fig. 1, Date-base is mainly used to store the underlying basic data and the profile and feature information obtained by analyzing the basic data and …
Trapped atomic ions are among the most advanced technologies for realizing quantum computation and quantum simulation, based on a combination of high-fidelity quantum gates1,2,3 and long coherence times7. These have been used to realize small-scale quantum algorithms and quantum error correction protocols. However, scaling the system size to support orders-of-magnitude more qubits8,9 seems highly challenging10,11,12,13. …
The socio-demographic characteristics of young adults are presented in Table 1. Out of the 331 young adults who participated in this study, the majority were females (n = 186, 56.2%), aged between 25 and 30 (n = 236, 71.3%), Malay (n = 189, 57.1%), with a single marital status (n = 237, 71.6%), tertiary educated (n = 294, 88.8%) and earned less than RM 5000 …
A study identified more than two million articles that did not appear in a major digital archive, despite having an active DOI.Credit: Anna Berkut/Alamy More than one-quarter of scholarly articles are not being properly archived and preserved, a study of more than seven million digital publications suggests. The findings, published in the Journal of Librarianship …
The aim of this study was to perform an external validation, in real clinical practice, of the diagnostic capability of an AI algorithm with respect to the reference radiologist for chest X-rays, as well as to detect possible diagnoses for which the algorithm had not been trained. Thus, the overall accuracy of the algorithm was …
Icon generation model based on GANs The GAN is a network structure composed of generators and discriminators. The generator aims to generate samples similar to real data, while the discriminator aims to distinguish between the generated samples and real data. Through continuous adversarial learning, the generator gradually improves the fidelity of the generated samples, enabling …