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New brain-like transistor goes ‘beyond machine learning’

Scientists have designed a transistor that stores and processes information like the human brain and can perform cognitive tasks that most artificial intelligence (AI) systems today struggle with.

This technology, known as a “synaptic transistor,” mimics the architecture of the human brain — in which the processing power and memory are fully integrated and found in the same place. This differs from conventional computing architecture, in which the processor and memory are physically separate components.

Using sequences of life-events to predict human lives

Abstract Here we represent human lives in a way that shares structural similarity to language, and we exploit this similarity to adapt natural language processing techniques to examine the evolution and predictability of human lives based on detailed event sequences.


Using registry data from Denmark, Lehmann et al. create individual-level trajectories of events related to health, education, occupation, income and address, and also apply transformer models to build rich embeddings of life-events and to predict outcomes ranging from time of death to personality.