How a stubborn computer scientist accidentally launched the deep learning boom
Hinton moved to the University of Toronto in 1987 and began attracting young researchers who wanted to study neural networks.
Neural networks boost fusion research with rapid ion temperature and rotation velocity predictions
Two types of models were created: Deep Neural Networks (DNN) and Convolutional Neural Networks (CNN), both capable of ...
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CNN Accelerator Aided Visitor Verification System on MAX78000FTHR
To avoid this situation, the visitor can be verified before opening the door to interact with them. The MAX78000FTHR ...
Deep learning streamlines identification of 2D materials
Researchers have developed a deep learning-based approach that significantly streamlines the accurate identification and ...
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Unique memristor design with analog switching shows promise for high-efficiency neuromorphic computing
The growing use of artificial intelligence (AI)-based models is placing greater demands on the electronics industry, as many ...
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Neuromorphic NPU Sips Power to Handle Edge Machine-Learning Models
whereas a CNN always performs computations at each point within the model, making them more computationally intensive. 3. Spiking neural networks (SNNs) simulate pulses would be used by a real neuron.
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Specialized AI can help online music learners make sense of musical symbols
A step toward improving online music education by developing an AI tool that can recognize musical notation is described in a ...