Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Researchers have developed a machine-learning workflow for processing complex 2D X-ray total scattering data from thin film ...

Density functional theory and the faster machine learning models trained on it, for example, can compute energy, forces, and thermodynamics. They lack spin degrees of freedom.

Machine learning is helping create stronger, more efficient encryption methods. By analyzing huge amounts of data, ML can design encryption algorithms that are tougher to crack.

In another real-world case, user input permanently altered an ML algorithm. Microsoft launched its new chatbot “Tay” on Twitter in 2016, attempting to mimic a teenage girl’s conversational ...

The Big Data Analytics, Artificial Intelligence and Machine Learning research cluster tackles important problems and develops real-life applications, harnessing technologies to extract insights and ...

Differential privacy is a method for protecting people’s privacy when their data is included in large datasets. Because differential privacy limits how much the machine learning model can depend ...