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Dr. Morris Gellisch, previously of Ruhr University Bochum, Germany, and now at University of Zurich, Switzerland, and Boris Burr from Ruhr University Bochum have developed a technical interface through which the physiological data can be transmitted to the language model in real time. In response to a corresponding prompt, the AI was able to correctly display the transmitted heart data in a table containing average values, minimum, maximum, and other information. The system was able to identify differences in the heart frequency patterns between tasks of low and high cognitive demand, and then react to these in the AI output. 0 shares Feedback to editors Recommended for you A technical interface enables large language models to receive and process real-time heart rate variability data, allowing the AI to display, evaluate, and visualize cardiac metrics such as averages and extremes without external software.