Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average diagnosis time?

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Across the U.S., hundreds of sites on land or in lakes and rivers are heavily contaminated with hazardous waste produced by human activity. Many of these places, designated as Superfund sites by the ...

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 ...

Is colourimetry the future of soil carbon measurement?New research led by Dr Yassine Bouslihim at the National Institute of Agricultural Research (INRA) in Rabat suggests that soil colour ...

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

I should begin with a confession: this letter was written by an artificial intelligence.

Besides its role in climate change mitigation, increasing soil organic matter (SOM) content could be an effective and feasible strategy for the adaptation ...

EDA produces a lot of data, but how useful is that for AI to consume? The industry looks at new ways to help AI do a better job.

"Sensing Intelligence and Machine Learning" describes the combination of artificial intelligence (AI) and machine learning (ML) approaches with sensor technologies. This fusion improves sensor ...