An artificial neural network, often just named a neural network, is a mathematical model inspired by biological neural networks. A neural network consists of an interconnected group of artificial neurons, and it processes information using a connectionist approach to computation. In most cases a neural network is an adaptive system changing its structure during a learning phase. Neural networks are used for modeling complex relationships between inputs and outputs or to find patterns in data.
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How Intel's neuromorphic chip could make wheelchair-mounted robotic arms more accessible
Intel scientists are using neuromorphic computing to power a wheelchair-mounted robotic arm that helps patients with spinal ...
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An introduction to one-shot learning
Passport checks at airports and border gates present a special challenge: How do you tell if the person standing in front ...
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Researchers use neuromorphic chips and electronic 'skin' to give robots a sense of touch
Scientists from the University of Singapore have combined neuromorphic chips and electronic 'skin' to give robots a sense ...
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Everything you need to know about transfer learning in AI
Today, artificial intelligence programs can recognize faces and objects in photos and videos, transcribe audio in real-time, ...
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What is the difference between artificial neural networks and biological brains?
What is the master algorithm that allows humans to be so efficient at learning things? That is a question that has perplexed ...
