In a pioneering research collaboration involving DTU, the University of Copenhagen, ITU, and Northeastern University in the US, scientists have unveiled a groundbreaking artificial intelligence (AI) model named life2vec. This innovative model utilizes extensive personal data to predict various life events, even estimating the time of death, marking a significant leap in the realm of predictive analytics.
Life2vec’s Transformative Approach
The research project, detailed in the recent Nature Computational Science article titled ‘Using Sequences of Life-events to Predict Human Lives,’ introduces life2vec, a model based on transformer architecture similar to OpenAI’s ChatGPT. Trained on vast health and labor market data from 6 million individuals, life2vec displayed superior predictive capabilities after an initial learning phase, outperforming other advanced neural networks. Beyond forecasting outcomes like personality traits, the model accurately estimated the time of death.
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