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.
All stories in Artificial neural network
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Here's how OpenAI's magical DALL-E image generator works
It seems like every few months, someone publishes a machine learning paper or demo that makes my jaw drop. This month, it’s ...
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Say hello to OpenAI's DALL-E, a GPT-3-powered bot that creates weird images from text
The 12 billion parameter version of OpenAI's GPT-3 text-generator explores the structure of language to generate original ...
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Understand adversarial attacks by doing one yourself with this tool
In recent years, the media have been paying increasing attention to adversarial examples, input data such as images and ...
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How CAPTCHAs could show if an algorithm’s getting closer to AGI
Creating machines that have the general problem-solving capabilities of human brains has been the holy grain of artificial ...
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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 ...
