This level of intelligence is a result of the progression of AI and machine learning to deep neural networks that change the paradigm from sensing to perception and, ultimately, recognition of intent.

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 a subset of machine learning, which is a technique used to help computers learn using training that is modeled on results gleaned from large data sets.

Mark van der Wilk, an expert in machine learning at the University of Oxford, told AFP that an artificial neural network is a mathematical construct "loosely inspired" by the human brain. Our brains ...

Technology ‘Artificial synapse’ could make neural networks work more like brains. Networks of nanoscale resistors that work in a similar way to nerve cells in the body could offer advantages ...

Artificial neural networks are one of the main tools used in machine learning. As the “neural” part of their name suggests, they are brain-inspired systems which are intended to replicate the ...

Neural networks are the foundation of modern machine learning and AI. They are the most essential component in understanding what AI is and how it works.

Mark van der Wilk, an expert in machine learning at the University of Oxford, told AFP that an artificial neural network is a mathematical construct "loosely inspired" by the human brain.