AIMC Topic: Silicon

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An ASIP for Neural Network Inference on Embedded Devices with 99% PE Utilization and 100% Memory Hidden under Low Silicon Cost.

Sensors (Basel, Switzerland) May 19, 2022
The computation efficiency and flexibility of the accelerator hinder deep neural network (DNN) implementation in embedded applications. Although there are many publications on deep neural network (DNN) processors, there is still much room for deep op...
Equipment Design Silicon Neural Networks, Computer Models, Theoretical
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A Multiobjective Evolutionary Nonlinear Ensemble Learning With Evolutionary Feature Selection for Silicon Prediction in Blast Furnace.

IEEE transactions on neural networks and learning systems May 2, 2022
In the blast furnace ironmaking process, accurate prediction of silicon content in molten iron is of great significance for maintaining stable furnace conditions, improving hot metal quality, and reducing energy consumption. However, most of the curr...
Silicon Machine Learning Algorithms Humans Neural Networks, Computer
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A Neuromorphic CMOS Circuit With Self-Repairing Capability.

IEEE transactions on neural networks and learning systems May 2, 2022
Neurophysiological observations confirm that the brain not only is able to detect the impaired synapses (in brain damage) but also it is relatively capable of repairing faulty synapses. It has been shown that retrograde signaling by astrocytes leads ...
Neural Networks, Computer Synapses Silicon Astrocytes Neurons
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Organic electrochemical neurons and synapses with ion mediated spiking.

Nature communications Feb 22, 2022
Future brain-machine interfaces, prosthetics, and intelligent soft robotics will require integrating artificial neuromorphic devices with biological systems. Due to their poor biocompatibility, circuit complexity, low energy efficiency, and operating...
Silicon Brain-Computer Interfaces Synapses Neuronal Plasticity Robotics Neurons
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Nondestructive Dimension Sorting by Soft Robotic Grippers Integrated with Triboelectric Sensor.

ACS nano Feb 7, 2022
In smart logistics, traditional manual sorting and sorting systems based on rigid manipulators limit the warehousing development and damage the goods. Here, a nondestructive sorting method based on bionic soft fingers is proposed. This method is impl...
Equipment Design Silicon Hand Strength Robotics Elastic Modulus
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Prediction Model of Hot Metal Silicon Content Based on Improved GA-BPNN.

Computational intelligence and neuroscience Aug 17, 2021
The inconsistency of the detection period of blast furnace data and the large time delay of key parameters make the prediction of the hot metal silicon content face huge challenges. Aiming at the problem that the hot metal silicon content is not cons...
Neural Networks, Computer Metals Silicon
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Efficient Cell Segmentation from Electroluminescent Images of Single-Crystalline Silicon Photovoltaic Modules and Cell-Based Defect Identification Using Deep Learning with Pseudo-Colorization.

Sensors (Basel, Switzerland) Jun 23, 2021
Solar cells may possess defects during the manufacturing process in photovoltaic (PV) industries. To precisely evaluate the effectiveness of solar PV modules, manufacturing defects are required to be identified. Conventional defect inspection in indu...
Silicon Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer
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Alloying conducting channels for reliable neuromorphic computing.

Nature nanotechnology Jun 8, 2020
A memristor has been proposed as an artificial synapse for emerging neuromorphic computing applications. To train a neural network in memristor arrays, changes in weight values in the form of device conductance should be distinct and uniform. An elec...
Electric Conductivity Neural Networks, Computer Kinetics Electrodes Alloys Silicon Thermodynamics
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Sensor-based machine learning for workflow detection and as key to detect expert level in laparoscopic suturing and knot-tying.

Surgical endoscopy Feb 21, 2019
INTRODUCTION: The most common way of assessing surgical performance is by expert raters to view a surgical task and rate a trainee's performance. However, there is huge potential for automated skill assessment and workflow analysis using modern techn...
Neural Networks, Computer Machine Learning Suture Techniques Humans Workflow Ontario Laparoscopy Models, Anatomic Algorithms Silicon Decision Trees Clinical Competence
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Fluorescent silicon nanoparticles inhibit the amyloid fibrillation of insulin.

Journal of materials chemistry. B Jan 21, 2019
Amyloid fibrillation of proteins is likely a key factor leading to the development of amyloidosis-associated diseases. Inhibiting amyloid fibrillation has become a crucial therapeutic strategy. Water-soluble, fluorescent silicon nanoparticles (SiNPs)...
Nanoparticles Spectrometry, Fluorescence Insulin Amyloid Particle Size Kinetics Silicon
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