Researchers devised a way to maintain an AI model's accuracy while ensuring attackers can't extract sensitive information used to train it. The approach is computationally efficient, reducing a ...

By categorizing and filtering user input, you can better focus on driving AI improvement. This iterative process—blending automation with human review—ensures AI learns from high-quality data, leading ...

The National Institute of Standards and Technology’s latest guidance, on how to secure artificial intelligence (AI) ...

This valuable investigation provides new and solid evidence for a specific cognitive deficit in cerebellar degeneration patients. The authors use three tasks that modulate complexity and error ...

This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated ...

The first one is based on the use of a deep neural network (NN), whereas the second one uses hypothesis test-based methods. The idea of deep learning method focuses ... is used as the loss function ...

Subscription fraud doesn’t act like fraud—that’s why most systems miss it. It’s no longer flagged cards or flash-sale spikes—it’s ghosted free trials, promo ...

A research group has developed an innovative machine learning technology that enables predictions beyond the distribution of ...

Apple writes that its "differential privacy" approach works by first generating synthetic data to mimic the format and ...