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Hybrid AI for Personal Medicine

Written by @george33 | Published on 2020/11/21

TL;DR
Nearest-to-use tool for forecasting, computer vision, and text analysis is difficult to understand and improve. It is unreasonable to set up a neural network to control complex, expensive objects, where the cost of an error is high or can cost lives or irepparable damage. The downside to cAI is the complexity of developing rules and maintaining the system, which led to the oblivion of cAI systems and the turn to neural networks. A dermatologist project required the use of both AI types within the same system.

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Written by
@george33
Programmer, researcher and inventor in IT

Topics and
tags
ai|ai-in-medicine|artificial-intelligence|machine-learning|computer-vision|data-science|ai-in-healthcare|hackernoon-top-story
This story on HackerNoon has a decentralized backup on Sia.
Transaction ID: 3ggUoXFjknLcGd-aMz0k5CovKUmLBAsYT8Kz3VuRt4I