Researchers developed an AI debiasing technique that improves the fairness of a machine-learning model by boosting its performance for subgroups that are underrepresented in its training data, while ...

Conventional fraud detection methods have a hard time keeping up with increasingly sophisticated criminal tactics. Existing ...

Building on previous breakthroughs that showcased a transformer-based language model's capacity to predict adsorption energy ...

Amazon is testing a new Prime Video feature that recommends groups of content using AI rather than traditional algorithms. If you’re part of the test, you’ll see new “AI Topics” tailored to your ...

A new MIT technique improves machine learning by removing key biased data points, boosting model performance for minority ...

Machine learning algorithms are a powerful tool for detecting anomalies in network traffic structure. In this way they can ...

Physicists have devised an algorithm that provides a mathematical framework for how learning works in lattices called mechanical neural networks.

Transfer learning has been used to address ... to handle data distribution discrepancies and label inconsistencies between digital twins and real machines. Validated on an industrial rotating machine ...

Duolingo, launched in 2012, has revolutionized language learning by leveraging artificial intelligence and machine learning to deliver personalized experiences. With over 500 million learners across ...

Just like nutrition labels help you make better choices about ... are calculated using a machine learning algorithm that was trained on thousands of human scores. Of course, what is helpful ...

Furthermore, the string nature of these affected components’ data makes it challenging to incorporate into machine-learning-enabled intelligence (CTI) processes. To visualize the attacking flow of ...