A new quantum-inspired algorithm is reshaping how scientists approach some of the most complex materials known, enabling ...

The most widely used technique for finding the largest or smallest values of a math function turns out to be a fundamentally difficult computational problem. Many aspects of modern applied research ...

Scientists have developed algorithms that more efficiently measure how difficult it would be for an attacker to guess secret keys for cryptographic systems. The approach could reduce the computational ...

Researchers at the Sanford Burnham Prebys Medical Discovery Institute (SBP) say they have begun the first comparative analysis of a new category of algorithms that mine genetic information in cancer ...

A study has highlighted the risks inherent in using historical data to train machine-learning algorithms to make predictions. The news: An algorithm that many US health providers use to predict which ...

Data science has created more and better applications for algorithms, particularly those that use machine learning, to help predict outcomes of interest to humans. But has the progress of algorithmic ...