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It uses statics, machine learning, neural computing, robotics, computational mathematics and artificial intelligence to explore all data and find meaningful relationships and patterns.
Initially, soft computing is composed of three main branches: fuzzy systems [20, 21], evolutionary computation [22, 23], artificial neural computing [24].
The advantage that their presence conveyed was an increase in neural computing power.
Here, neural network is considered as a part of large field called neural computing or soft computing.
He is the co-founder and CEO of CTRL-Labs a company building the next generation of non-invasive neural computing here in Manhattan.
The proposed technique is an extension to the understanding of the practical aspects of neural computing applications.
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They've incorporated it into a new USB device called the Fathom Neural Compute Stick.
The Neural Compute Engine enables some pretty heavy image processing to take place on the edge.
In April of last year, Movidius showed off the first iteration of this device, which they then called the Fathom Neural Compute Stick.
How the Fathom Neural Compute Stick figures into this is that the algorithmic computing power of the learning system can be optimized and output (using the Fathom software framework) into a binary that can run on the Fathom stick itself.
The Myriad X seems to be somewhat of a "Pro" version of the Myriad 2, bringing a major redesign to the computer vision-minded chip, while also flaunting some new sophisticated deep-learning capabilities by way of its new "Neural Compute Engine," which will make it easier for devices built on the Myriad X to interpret information from their surroundings.
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