Investorideas.com - Avant! AI and WISE Network Collaboration Part 1

Investorideas.com - Avant! AI and WISE Network Collaboration Part 1



Avant! AI and WISE Network Collaboration Part 1


December 17, 2018 (Investorideas.com Newswire) The Avant! AI engine is the brain that is in charge of the entire Enigma SM chip's microcomputer. This small but very powerful device, is created in partnership between WISE and the GOPHER Protocol (OTCQB: GOPH), which is the company behind the Avant! AI development.
How does it apply to the Enigma SM chip?
We need first to understand how Avant! works. The AI system enables self-learning and adapting to the device"s features and usage using proprietary recurrent neural network (RNN) algorithms. 

Avant! AI is a one hundred percent machine learning capable development with the ability to learn something without being programmed for that specific task. In this particular case, composed of:
Supervised learning, which essentially trains the algorithm using correct examples, the computer is given example inputs and a list of anticipated outputs, the goal is to learn the rules that maps those inputs to the correct outputs.
In semi-supervised learning the algorithm is trained on both labeled and unlabeled data, it uses the known labeled data to help work out the unlabeled ones. With active learning the algorithm can only obtain labels from a limited set of data and must optimize it choice to acquired labels
Essentially it's analyzing which options are likely the correct ones
Reinforcement learning is feedback data in response to action in the form of reward and punishment. As it is commonly used for activities like autonomous driving and games, the correct actions are reinforced, and inappropriate ones lead to failure.
The final and most advanced method in machine learning is Unsupervised Learning. In this case there is no lab data at all and no feedback is delivered. Unsupervised algorithms seek out similarities between pieces of data and determine whether they can form a group or cluster. An example might be when 2 neural networks compete, success and competition drive to learning, unsupervised learning algorithms can perform more complex processing tasks than supervised learning systems but they're riskier when it comes to learning and differentiating between right or wrong.
Avant! Currently belongs to the supervised category with a logical validation stage that adds another evident space check to verify that the data remains accurate and reliable.
This are the characteristics that make up the Avant! AI engine which is embedded in all of WISE's SM chips. The system learns about the device's processing speed, storage utilization, network data traffic, statistics, and more. Based on the system's variations, it sets on-the-fly the most efficient database traffic and management, sharing rules within the wNET network.
More on this next week.
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