Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

A research team from the Ningbo Institute of Materials Technology and Engineering (NIMTE) of the Chinese Academy of Sciences ...

Choosing the right generative AI architecture is crucial for professional problem-solving applications. Generalist models ...

Unmanned aerial vehicles (UAVs), commonly known as drones, are now widely used worldwide to tackle various real-world tasks, ...

Achieving high efficiency, long operational lifetime, and excellent color purity is essential for organic light-emitting ...

Probability and Statistics Group research at the School of Mathematical and Computer Sciences at Heriot-Watt University, Edinburgh.

Using the statistical software platform known as “SPSS,” Proposed work carried out the statistical analysis on the dataset. CatBoost is used to construct a predictive model, and then that model is ...

While AI-driven approaches tout increased speed and lower costs, commercial interests compromise scientific collaboration.

Learn about data quality, model evaluation, model explainability, and model reliability aspects to consider when working with AI and machine learning models.