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

SportsLine's self-learning AI reveals NFL player props and its SGP picks for Ravens vs. Steelers on 'Sunday Night Football' ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Tianpei Lu (The State Key Laboratory of Blockchain and Data Security, Zhejiang University), Bingsheng Zhang (The State Key Laboratory of Blockchain and Data Security, Zhejiang University), Xiaoyuan ...

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

Adnan and colleagues evaluated machine learning models’ ability to screen for Parkinson’s disease using self-recorded smile videos. 2. The models achieved high sensitivity and specificity among ...

If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...

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

While AI models may exhibit addiction-like behaviors, the technology is also proving to be a powerful ally in combating real ...

A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...