1. Prepare the Data. The first step in training an AI model is preparing your data by collecting, cleaning, and preprocessing the information you will use to train the model.

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Word tokenization is a process where data is divided into sub-words and converted into numerical IDs that the model can recognize. This tokenization procedure usually employs a dictionary or ...

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, adaptability and fairness.

A research group is improving digital twins of entire biomanufacturing processes by making existing datasets work harder. The team, now based in the Laboratory of Advanced Manufacturing Process (LAMP) ...