Dimensionality reduction for images of IoT using machine learning

Dimensionality reduction for images of IoT using machine learning

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: …

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96% of young people in the EU uses the internet daily

96% of young people in the EU uses the internet daily

In 2022, 96% of young people aged 16-29 years in the EU reported using the internet every day, compared with 84% of the adult population.  Daily internet use among young people was above 94% in all EU countries. The lowest shares were recorded in Italy and Bulgaria at 94%, and the highest at 100% in …

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Using novel micropore technology combined with artificial intelligence to differentiate Staphylococcus aureus and Staphylococcus epidermidis

Using novel micropore technology combined with artificial intelligence to differentiate Staphylococcus aureus and Staphylococcus epidermidis

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 …

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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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AI hears hidden X factor in zebra finch love songs

AI hears hidden X factor in zebra finch love songs

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 …

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NVIDIA’s breakthroughs redefine quantum computing landscape

NVIDIA’s breakthroughs redefine quantum computing landscape

NVIDIA Technologies and its partners have made new strides in quantum computing. Their collective efforts have engendered commendable advances in science and finance research, education, and the development of supercomputers. High up on the list of results is the investigation of molecules using a large language model. Researchers in Canada and the U.S. pursued this, …

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Higher-order Granger reservoir computing: simultaneously achieving scalable complex structures inference and accurate dynamics prediction

Higher-order Granger reservoir computing: simultaneously achieving scalable complex structures inference and accurate dynamics prediction

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, …

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Optimization of news dissemination push mode by intelligent edge computing technology for deep learning

Optimization of news dissemination push mode by intelligent edge computing technology for deep learning

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 …

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