QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...
More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...
On Thursday, Oct. 16, Santa Clara University will serve as host of the 14th annual Bay Area Machine Learning Symposium, an event dedicated to exchanging ideas and sharing new research in machine ...