A new explainable AI technique transparently classifies images without compromising accuracy. The method, developed at the University of Michigan, opens up AI for situations where understanding why a ...

Apple researchers have uncovered a key weakness in today's most hyped AI systems – they falter at solving puzzles that require step-by-step reasoning. In a new ...

Overall, the combination of computer vision systems with the decision tree algorithm proved to be an effective method for tomato quality classification. Performance metrics including accuracy (0.836), ...

Miller's Law states, "To understand what another person is saying, you must first assume what the person said is true and ...

A new paper from Apple has reported some worrying results for the future of do-it-all artificial intelligence, showing that ...

allowing users to assemble algorithms from algorithm building blocks. This paper provides a comparison between students' acceptance of both black-box and white-box decision tree algorithms. For these ...