To construct model predictive controllers (MPCs), we must first specify a plant model that is typically extracted from input-output data using system identification ...

Researchers from the Johns Hopkins Applied Physics Laboratory (APL) in Laurel, Maryland, and Johns Hopkins University in ...

If internet chatter is to be believed, the intuitiveness and efficiency of predictive text and autocorrect have fallen off a ...

Audi has revealed the Nuvolari, a flagship two-seater sportscar, which will become its fastest and most powerful production ...

Proper estimation of predictive uncertainty is fundamental in applications that involve critical decisions. Uncertainty can be used to assess reliability of model predictions, trigger human ...

In revisiting past hard problems, it is also important to recount successes that helped us bolster our defense. Successes ...

As Honeywell Process Automation celebrated the 50th anniversary of the Honeywell User Group (HUG) conference in Phoenix, ...

This valuable study examines whether reduced cooperation is driven by betrayal aversion beyond nonsocial loss aversion, using matched social and nonsocial risky decision-making tasks combined with ...

Neuroscience increasingly describes the brain as a system built to anticipate rather than simply react. It constantly compares present input with past experience, trying to predict what comes next.

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a ...