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You are standing at a busy intersection. A car slows as you approach the curb. No driver looks back at you. Instead, software ...

The failure of so many polls to predict the outcomes and margins of the last two presidential elections underscores the maddening challenge faced by social scientists who try to predict actual ...

In a recent study published in Nature Communications, researchers investigate whether the human occipital-temporal cortex (OTC) co-represents the semantic and affective content of visual stimuli to ...

A recent study in Finland investigated the paths from childhood socioemotional behavior to midlife health behavior decades later. Socioemotional behaviour at age 8 predicted health behaviour both ...

The proposed rapid evaluation framework is trained based on a large number of samples from the database and drawing tests. The characteristics of the bonding stress-slip constitutive are learned using ...

A recent study by the Faculty of Sport and Health Sciences at the University of Jyväskylä and the Gerontology Research Center (Finland) investigated the paths from childhood socioemotional behaviour ...

Machine learning can assess the effectiveness of mathematical tools used to predict the movements of financial markets, according to new research based on the largest dataset ever used in this area.

The failure of so many polls to predict the outcomes and margins of the last two presidential elections underscores the maddening challenge faced by social scientists who try to predict actual ...