Background Translating microbiome correlations into robust predictive features for complex gut disorders remains elusive, ...

AI is rapidly evolving beyond human control concerns, raising questions on regulation, emotional intelligence, economic gains ...

Ultimately, AI is only as safe as the dynamic data quality management and governance that supports it. This leads to two ...

Modern racing cars generate enormous quantities of information every lap. Telemetry systems monitor everything from tire temperatures and brake performance to engine parameters, suspension movement ...

TabFM could simplify and make predictive analytics cheaper by removing model training and deployment costs, but enterprises may not see the same savings across every workload.

This paper develops an empirical model to predict episodes of debt servicing difficulties (“debt distress”) in low-income countries, with three main contributions to the existing literature. First, it ...

Embedded computing and optimized machine learning models make PdM viable in small, distributed and cost-sensitive systems.

Claude Mythos Preview discovered new attacks in testing against weakened cryptographic algorithms, which protect online financial transactions, private communications and more. By Dustin Volz ...

Around the world, algorithms are increasingly being asked to do something once reserved for human judgment: help decide who should remain free and who should be deprived of liberty. In recent years, ...

High-speed elevators face significant challenges in horizontal vibration control, primarily due to guideway unevenness and dynamic load variations, which conventional passive damping technologies ...