Building a machine learning model is only half the journey. Getting it to run reliably in the real world often requires navigating complex infrastructure. The transition from building on Jupyter ...

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...

University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...

AI is being rapidly adopted in edge computing. As a result, it is increasingly important to deploy machine learning models on Arm edge devices. Arm-based processors are common in embedded systems ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...