Regularization stops ML routines from building too much on noise and outliers in its training data ... classification decision, which makes results easier to interpret, verify and act on. In trials ...

The Ministry of Communication and Digital claims to have learned from the approach in the European Union, Singapore, and ...

The company's first product, Z-FIRE, launched in 2019, and was designed to provide precise, property-specific wildfire risk ...

Quantum computing has the potential to significantly transform artificial intelligence due to its exponentially faster ...

Effective AI governance begins with clear policies that establish boundaries for workplace use. Bradford J. Kelley, Mike ...

This article reviews the current state of decentralized data collection and outlines key steps for wisely selecting a ...

The ambiguity in medical imaging can present major challenges for clinicians who are trying to identify disease. For instance ...

Traditional detection methods for AI-generated content rely heavily on access to the inner workings of the models - an ...

More than a hundred experts in molecular simulation have published a paper in the journal Nature Methods calling for a paradigm shift in molecular dynamics data management.

techniques to enhance brain tumor detection and classification in magnetic resonance imaging (MRI) scans. In the first stage, a fuzzy thresholding approach is applied to segment MRI images into ...