Technology Ahead of its Time

Our advances in AI technology bring more efficiency and automation to the industry.

      The Technology Behind AI

      AI (or Artificial Intelligence) and machine learning are based on the idea of creating computer systems that can learn from data and make decisions without being explicitly programmed. There are several technologies used to achieve this goal, including:

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      Neural Networks

      These are a type of machine learning algorithm that mimics the structure of the human brain. They consist of layers of interconnected nodes (neurons) that process and transmit information. Neural networks can be trained to recognize patterns in data, classify images, and make predictions.

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      Deep Learning

      This is a subfield of machine learning that focuses on creating neural networks with many layers (hence 'deep'). Deep learning has been particularly successful in areas like image and speech recognition, and natural language processing.

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      Reinforcement Learning

      This is a type of machine learning that focuses on training models to make decisions by maximizing a reward signal. This approach has been used to train agents that can play complex games like Go and chess.

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      Supervised Learning

      This is the most common type of machine learning, where the algorithm is trained with a labeled dataset (i.e. input-output pairs) and then makes predictions on new, unlabeled data.

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      Unsupervised Learning

      This type of machine learning is used when the algorithm is given input data without corresponding output and must find a structure or pattern in the data without guidance.

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      Semi-supervised Learning

      It is a combination of supervised and unsupervised learning, where the algorithm is supplied with some labeled data and some unlabeled data and must use both to make predictions.

      These technologies work together so that machines can learn from data and make decisions, enabling them to perform tasks that were previously only possible for humans. Neuratrade uses a combination of these learning methods to train our trading AI with the highest efficiency.