Discover how machine learning is reshaping chemical manufacturing—from optimizing reactions and reducing waste to ...

For chronic kidney disease for example, the Random Forest algorithm had precision at 0.972 and recall at 0.946, out of a perfect 1.000. After the cost-sensitivity was added, the algorithm improved ...

While ML algorithms do not have an emotional component, our psychological makeup is such that we do and it is stored in the brain, and accessed via a neural pathway.

ML algorithms can analyze email content, including subtle cues and patterns that are typically overlooked, to identify and flag phishing emails. 3. Analyze cyber threat trends in real time.

Research from Florida International University’s College of Business (FIU Business) found that a machine learning (ML) algorithm that uses hospital data and social determinants of health data can help ...

ML algorithms can help identify areas where improvements should be made for greater efficiency and cost savings. Businesses that optimize their supply chains can select their best options and in turn ...

A project at Rice University has developed a new machine learning (ML) algorithm intended to improve the identification of biomarkers in optical spectra.. As reported in ACS Nano, the algorithm could ...