Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

Dr Yves R. Sagaert emphasizes the importance of organizations shifting away from traditional static budgeting, which relies ...

By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...

A low-dimensional voice latent space derived from deep learning captures speaker-identity representations in the temporal voice areas and supports reconstruction of voices preserving identity ...

Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test ...

Tadeo Ramirez-Parada studied the timing of plant flowering for his PhD — but he didn’t touch a single petal. Instead, he ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

At first glance, it looks like the start of a human pregnancy: A ball-shaped embryo presses into the lining of the uterus ...

Databricks says Instructed Retrieval outperforms RAG and could move AI pilots to production faster, but analysts warn it ...