Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...

Operational data such as torque, vibration, and temperature are vital for refining machine design and predicting failure modes. Feedback from real-world machines reduces over-engineering, cuts costs, ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

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