A new algorithmic framework that can predict flooding could help save lives and reduce the devastation as climate change ...

As organizations integrate data-driven insights into their operations, predictive screening models are emerging as both a ...

The accurate prediction of influent flow rates at wastewater treatment plants is important for the proper operation of treatment facilities. The influent flow refers to the untreated water coming into ...

A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...

A new research paper was published on the cover of Aging (listed by MEDLINE/PubMed as "Aging (Albany NY)" and "Aging-US" by Web of Science) Volume 16, Issue 5, entitled, "Genome-wide transcriptome ...

How animals may modify their behavior depending on their context has been modeled mathematically by two RIKEN neuroscientists. Their simple but biologically plausible model could shed light on mental ...

The proposed multitask learning (MTL) model was developed using data from wearable devices worn by individuals in a randomized controlled trial (RCT) to predict outcomes of a depression treatment.

“If companies train their machine learning models without adequate rights to their underlying data, they risk having to jettison the entire model.” A widespread concern with many machine learning ...

If you are interested in learning more about artificial intelligence and specifically how different areas of AI relate to each other then this quick guide providing an overview of Machine Learning vs ...

Imagine a school day where your core learning happens in the morning and your afternoons are spent surfing the Santa Barbara ...