Emerging technologies are being used for different things every day. A systematic approach to retraining deep learning artificial intelligence (AI) algorithms to deal with different situations has been developed by climate researchers in the United States, and they discovered fascinating new approaches for creating training algorithms. Physics World brought this interesting information to us in their article, “New approach retrains deep neural networks to deal with changes in complex systems.”

Deep learning is a highly advanced type of machine learning, in which computer algorithms teach themselves the important features of a system and learn to make both classifications about its nature and predictions about its behavior. Researchers found that retraining earlier levels of the algorithm often achieves better results than retraining later ones.

Sadly, most organizations have little knowledge on how AI systems make decisions, and they are consequently lost when it comes to the results. Explainable AI allows users to comprehend and trust the results and output created by machine learning algorithms.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

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