This valuable study investigates how perceptual and semantic features of maternal behavior adapt to infants' attention during naturalistic play, providing new insights into the bidirectional and ...
Cosmic rays are high-energy particles that constantly bombard Earth from space and are influenced by the sun's magnetic ...
By using reinforcement learning, researchers train virtual agent to determine the best time to administer medication based on ...
Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been ...
Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
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Taming chaos in neural networks: A biologically plausible way
A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been ...
It might be small, but Valve's Steam Machine carries with it the very real possibility of shaking up the console gaming landscape. The cube has the specs, form-factor, and library to stand toe-to-toe ...
A research team of mathematicians and computer scientists has used machine learning to reveal new mathematical structure within the theory of finite groups. By training neural networks to recognise ...
Machine learning is increasingly recognized as a pivotal tool in the evolution of cardiovascular medicine, promising to ...
The project will build upon CSIRO’s expertise in the field of QML to develop new and innovative QML models. QML has the potential to offer enhanced reliability, training speed-up and unique feature ...
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