Machine learning deals with software systems capable of changing in response to training data. A prominent style of architecture is known as the neural network, a form of so-called deep learning.

Neural networks are the foundation of modern machine learning and AI ... (For a more mathematical diagram, see the single-layer perceptron model here.) The resulting value is then given to ...

Neural networks are now applied across the spectrum of AI applications while deep learning is reserved for more specialized or advanced AI use cases. Written by eWEEK content and product ...

After constructing a circuit model of the oscillators in a machine-learning-enabled simulator ... Figure 10. A network architecture with ONN layers as preprocessors and a traditional neural network ...

Coined by Rina Dechter in 1986, Deep Learning is one of the fastest-growing methodologies in the machine learning ... optical Diffractive Deep Neural Network (D2NN) architecture.

An AI machine learning architecture employed in "neural networks." Emerging in the 2010s, deep learning is used in all forms of AI such as computer vision, self-driving cars, natural language ...

“Neural networks are currently ... suggests that these networks could theoretically teach us something new about the world, said Brice Ménard, a physicist at Johns Hopkins who studies machine learning ...