Mathematicians have long been using computers to discover patterns. However, the increasing power of machine learning means that these networks can work through massive amounts of data and identify new patterns. This interesting to pic came to us from Science Alert in their article, “AI Is Discovering Patterns in Pure Mathematics That Have Never Been Seen Before.”
A machine learning technique called a supervised learning model was able to spot a previously undiscovered relationship between two different types of mathematical knots.
The majority of practical machine learning uses supervised learning and it is the process of an algorithm learning from the training dataset can be thought of as a teacher supervising the learning process. We know the correct answers, the algorithm iteratively makes predictions on the training data and is corrected by the teacher.
Machine learning is a form of artificial intelligence (AI) and unfortunately, most organizations have little knowledge on how AI systems make the decisions they do. Explainable AI allows users to comprehend and trust the results and output created by machine learning algorithms.
Melody K. Smith
Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.
