Probabilistic programming has emerged as a powerful paradigm that integrates uncertainty directly into computational models. By embedding probabilistic constructs into conventional programming ...

The basic problem of a theory of truth approximation is defining when a theory is “close to the truth” about some relevant domain. Existing accounts of truthlikeness or verisimilitude address this ...

Anyone who's been caught in an unexpected downpour knows that weather forecasting is an imperfect science. Now, researchers are taking aim at one of meteorologists' biggest blind spots: extremely ...

Acxiom’s data onboarder LiveRamp hopes to solve the thorny problem of identity – thorny because consumers have thousands of different identifiers. LiveRamp – which Acxiom now refers to as its ...

Wigderson is the Herbert H. Maass Professor in the School of Mathematics at the Institute for Advanced Study in Princeton, New Jersey. He has been a leading figure in areas including computational ...

A photograph of the developed prototype. The system is designed such that the spintronic probabilistic bit comprising a stochastic magnetic tunnel junction (MTJ) [left] generates a physical random ...