A survey of machine learning techniques trained to detect ransomware is presented. This work builds upon the efforts of Taylor et al. in using sensor-based methods that utilize data collected from built-in instruments like CPU power and temperature monito... (more…)

Physics-informed machine learning (physics-ML) is transforming high-performance computing (HPC) simulation workflows across disciplines, including computational fluid dynamics, structural mechanics… (more…)

Machine learning (ML) prediction APIs are increasingly widely used. An ML API can change over time due to model updates or retraining. This presents a key challenge in the usage of the API because it is often not clear to the user if and how the ML model ... (more…)

Here’s a simple checklist for people who deploy machine learning models to production. Based on my personal experience. (more…)

Understanding the quality of a photo can be a tricky task, however, AI algorithms can adequately solve and open up a lot of interesting use-cases. (more…)