As data and artificial intelligence continue to reshape how students learn and prepare for the future, SAS is recognizing university educators who are leading that transformation in classrooms around ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Researchers at College of Food, Agricultural and Natural Resource Sciences are using AI to detect patterns across landscapes, atmospheres and ecosystems at scales that were previously impossible.

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...

Objectives Acute anterior ischaemic optic neuropathy (AION) is a feared ischaemic complication of giant cell arteritis (GCA).

Mukherjee believes the health industry saw a market fit in preaching an approach, but that must change for a holistic one.

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...

Machine learning has rapidly become integral to the advancement of geoscience, a field inundated with complex and multivariate data from myriad sources such ...

Is the scientific method really the best approach to learning about the world? A new paper in Collective Intelligence applies the scientific method to itself, finding that some common strategies that ...