A preprint on arXiv describes an effort to simulate what a newborn sees, hears, and feels, and how that experience changes over the first two years of life. The authors note that these senses have been measured separately, with different methods and in different units, making it hard to compare or combine the results.
The paper proposes bringing these measurements together using "age-tuned networks" — computational models that adjust to the infant's developmental stage. The abstract is cut off mid-sentence, so the specific findings or validation are not available from the source. What is clear is the intent: to unify disparate sensory data into a single, age-aware simulation framework.
Because the abstract is incomplete, this report is limited to the stated goal and approach. The work appears to be a methodological contribution aimed at integrating existing empirical data rather than presenting new measurements.