Researchers have devised a new machine learning method to improve large-scale climate model projections and demonstrated that ...

More information: Nina Horat et al, Improving Model Chain Approaches for Probabilistic Solar Energy Forecasting through Post-processing and Machine Learning, Advances in Atmospheric Sciences (2024).

In the past, machine learning was only capable of interpolating data -- making predictions about situations that are "between" other, known situations. It was incapable of extrapolating -- making ...

SUNNYVALE, Calif. & TOKYO, July 22, 2025--NTT Research, Inc. and NTT R&D, divisions of NTT (TYO:9432), researchers presented twelve papers at the forty-second International Conference on Machine ...

Here, we present a machine-learning framework to identify robust drug biomarkers by taking advantage of network-based analyses using pharmacogenomic data derived from three-dimensional organoid ...