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 ...

Shenzhen, May. 27, 2025––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced efforts to improve the accuracy and reliability of quantum algorithms by exploring and ...

Learn how the Adadelta optimization algorithm really works by coding it from the ground up in Python. Perfect for ML enthusiasts who want to go beyond the black box! Donald Trump blasts Putin ...

Theoretical notes describing many of these algorithms are at the companion repository https://github.com/sylvaticus/MITx_6.86x. If you are looking for an introductory ...

Motivated by this, our algorithm uses a strategy for assessing the hyperplanes in such a way that the geometric structure in the data is taken into account. At each node of the decision tree, we find ...