AIMC Topic: Silicon

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Machine Learning Method and Hyperspectral Imaging for Precise Determination of Glucose and Silicon Levels.

Sensors (Basel, Switzerland) Feb 18, 2024
This article introduces an algorithm for detecting glucose and silicon levels in solution. The research focuses on addressing the critical need for accurate and efficient glucose monitoring, particularly in the context of diabetic management. Underst...
Machine Learning Blood Glucose Artificial Intelligence Hyperspectral Imaging Silicon Glucose Blood Glucose Self-Monitoring
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Playing Brains: The Ethical Challenges Posed by Silicon Sentience and Hybrid Intelligence in DishBrain.

Science and engineering ethics Oct 26, 2023
The convergence of human and artificial intelligence is currently receiving considerable scholarly attention. Much debate about the resulting Hybrid Minds focuses on the integration of artificial intelligence into the human brain through intelligent ...
Silicon Artificial Intelligence Brain Learning Intelligence Humans
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Application of serum SERS technology combined with deep learning algorithm in the rapid diagnosis of immune diseases and chronic kidney disease.

Scientific reports Sep 21, 2023
Surface-enhanced Raman spectroscopy (SERS), as a rapid, non-invasive and reliable spectroscopic detection technique, has promising applications in disease screening and diagnosis. In this paper, an annealed silver nanoparticles/porous silicon Bragg r...
Humans Algorithms Renal Insufficiency, Chronic Metal Nanoparticles Deep Learning Spectrum Analysis, Raman Immune System Diseases Silver Silicon
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Node-Loss Detection Methods for CZ Silicon Single Crystal Based on Multimodal Data Fusion.

Sensors (Basel, Switzerland) Jun 24, 2023
Monocrystalline silicon is an important raw material in the semiconductor and photovoltaic industries. In the Czochralski (CZ) method of growing monocrystalline silicon, various factors may cause node loss and lead to the failure of crystal growth. C...
Silicon Wavelet Analysis Neural Networks, Computer Quality Control
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Deep Learning Model to Denoise Luminescence Images of Silicon Solar Cells.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Apr 24, 2023
Luminescence imaging is widely used to identify spatial defects and extract key electrical parameters of photovoltaic devices. To reliably identify defects, high-quality images are desirable; however, acquiring such images implies a higher cost or lo...
Silicon Signal-To-Noise Ratio Deep Learning Luminescence Algorithms
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Cuttlefish eye-inspired artificial vision for high-quality imaging under uneven illumination conditions.

Science robotics Feb 15, 2023
With the rise of mobile robotics, including self-driving automobiles and drones, developing artificial vision for high-contrast and high-acuity imaging in vertically uneven illumination conditions has become an important goal. In such situations, bal...
Robotics Animals Lighting Visual Acuity Decapodiformes Silicon
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A Flexible Pressure Sensor Based on Silicon Nanomembrane.

Biosensors Jan 12, 2023
With advances in new materials and technologies, there has been increasing research focused on flexible sensors. However, in most flexible pressure sensors made using new materials, it is challenging to achieve high detection sensitivity across a wid...
Humans Technology Robotics Skin Silicon Movement
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Ultrathin crystalline-silicon-based strain gauges with deep learning algorithms for silent speech interfaces.

Nature communications Oct 3, 2022
A wearable silent speech interface (SSI) is a promising platform that enables verbal communication without vocalization. The most widely studied methodology for SSI focuses on surface electromyography (sEMG). However, sEMG suffers from low scalabilit...
Electromyography Algorithms Silicon Reproducibility of Results Deep Learning Speech
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On-chip bacterial foraging training in silicon photonic circuits for projection-enabled nonlinear classification.

Nature communications Jun 30, 2022
On-chip training remains a challenging issue for photonic devices to implement machine learning algorithms. Most demonstrations only implement inference in photonics for offline-trained neural network models. On the other hand, artificial neural netw...
Algorithms Bacteria Neural Networks, Computer Machine Learning Support Vector Machine Silicon
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Deep Learning Enabled Neck Motion Detection Using a Triboelectric Nanogenerator.

ACS nano May 19, 2022
The state of neck motion reflects cervical health. To detect the motion state of the human neck is of important significance to healthcare intelligence. A practical neck motion detector should be wearable, flexible, power efficient, and low cost. Her...
Nanotechnology Rubber Humans Silicon Electric Power Supplies Deep Learning Motion
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