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Physical embedded machine learning force fields for organic systems

Figure 1. Schematic diagram of the overall workflow of physical embedding machine learning force field: including high-order isovariant models, physical knowledge-guided adaptive bond length sampling ...
Nature

Unsupervised manifold embedding to encode molecular quantum information for supervised learning of chemical data

In chemical learning, a molecule is encoded in a computable format to develop quantitative structure-activity or structure-property relationships (QSAR or QSPR) by a machine learning model. A molecule ...
Nature

Embedding machine-learnt sub-grid variability improves climate model precipitation patterns

Parameterisation schemes within General Circulation Models are required to capture cloud processes and precipitation formation but exhibit long-standing known biases. Here, we develop a hybrid ...
Rutland Herald

OpenX Launches OpenX IQ, a Suite of AI and Machine Learning Capabilities to Power Customized Media Decisioning

OpenX, The Intelligent SSP, today announced the launch of OpenX IQ, a suite of proprietary AI and machine learning capabilities to give buyers greater quality, control, and performance across every ...