Abstract: With the purpose of managing efficiency in a large number of published vulnerabilities, the time-intensive process requires significant effort and efficient vulnerability prioritization ...

While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to ...

Test vendors use AI and machine learning to handle massive data volumes from complex electronics and detect hard-to-find ...

Introduction: Cardiovascular stress testing is crucial for the evaluation of ischemic cardiomyopathy and inducible arrhythmias. Inappropriate heart rate (HR) response during stress, or chronotropic ...

While certain QST measures (like local warm detection threshold) showed some predictive value for knee OA pain, baseline quantitative sensory testing is generally inconsistent for predicting ...

Abstract: Severe weather, especially rain and fog, affects LiDAR performance, which in turn impacts the functional safety of onboard ADAS. Understanding and predicting the mechanisms of weather ...

The American Trucking Associations on Wednesday sent a letter to Congressional leaders to urge them to enhance training, testing and licensing standards for CDL ...

Anthropic is starting to train its models on new Claude chats. If you’re using the bot and don’t want your chats used as training data, here’s how to opt out. Anthropic is prepared to repurpose ...

Google is turning its vast public data trove into a goldmine for AI with the debut of the Data Commons Model Context Protocol (MCP) Server — enabling developers, data scientists, and AI agents to ...