Mindful neural networks is a collaboration of highly motivated Individuals and artificial intelligent networks that have been trained to be aware of their own strengths & limitations and to seek out additional information or knowledge when necessary. This is intended to help the neural network make more accurate and reliable decisions, by ensuring that it has access to the most relevant and complete information available.

One way that mindful neural networks might seek out additional information is by asking for clarification or confirmation from a human user or supervisor when it is unsure about something. This can help to reduce the risk of errors or mistakes, and can also help to improve the overall performance of the neural network.

Another way that mindful neural networks might seek out additional information is by accessing external data sources or by collaborating with other neural networks. This can help to ensure that the neural network is able to make use of the most comprehensive and current information available.

Overall, mindful neural networks is an innovative approach to problem solving, co-nurturing human and artificial intelligence that is designed to improve the accuracy and reliability of decision-making by incorporating elements of human-like reasoning and self-awareness.