Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical changes and corrosion. The framework enables more accurate, data-driven ...

The researchers report that their model achieved a 93% cross-validation score in binary classification, underscoring its ...

The study found that deep learning models, especially CNNs, were the most frequently implemented technique (61.2%), followed ...

Cibaca continues to explore image classification and deep learning from a research-first perspective. Her ongoing work ...

A Caltech-led team has developed a safe, effective, and painless breast imaging technique that incorporates machine learning ...

The Large Hadron Collider is one of the biggest experiments in history, but it’s also one of the hardest to interpret. Unlike ...

By enabling deep learning to run at the speed of light, this chip could allow edge devices to perform real-time data analysis ...

Researchers develop a resource oversubscription tool that echoes QoS provisioning to increase cloud memory allocation by 36 ...

CONTAIN™ represents the next breakthrough in AI-powered ore sorting from TOMRA Mining – a deep learning solution purpose-built to classify complex inclusion-type ores with unprecedented accuracy. By ...

Alibaba Cloud has developed a new cluster management system called Eigen+ that achieved a 36% improvement in memory ...

Steven Brightfield, Chief Marketing Officer at BrainChip, about neuromorphic computing and its Akida spiking neural network ...