Meet RobERt, the dreaming detective for exoplanet atmospheres

Machine-learning techniques that mimic human recognition and dreaming processes are being deployed in the search for habitable worlds beyond our solar system. A deep belief neural network, called RobERt (Robotic Exoplanet ...

Machine learning improves particle accelerator diagnostics

Operators of the primary particle accelerator at the U.S. Department of Energy's Thomas Jefferson National Accelerator Facility are getting a new tool to help them quickly address issues that can prevent it from running smoothly. ...

Using artificial intelligence to understand collective behavior

Professor Thomas Müller and Professor Hans Briegel have been carrying out research on a machine learning model for several years that differs significantly from alternative artificial intelligence (AI) learning models. The ...

The algorithms of our future thinking machines

Behind every self-driving car, self-learning robot and smart building hides a variety of advanced algorithms that control learning and decision making. Some of the mathematical models that make up the backbone of automated ...

Machine learning identifies links between world's oceans

Oceanographers studying the physics of the global ocean have long found themselves facing a conundrum: Fluid dynamical balances can vary greatly from point to point, rendering it difficult to make global generalizations.

Unparalleled bounty of oscillating red giant stars detected

An unprecedented collection of pulsating giant red stars has been identified by astronomers at the University of Hawaiʻi Institute for Astronomy (IfA). Using observations from NASA's Transiting Exoplanet Survey Satellite ...

page 3 from 9