Consequently, knowledge graphs provide three key functions for AI and machine learning, according to Kendall Clark, CEO of Stardog. “There’s an analytics capability on one side, and a data integration ...

In a novel study, researchers from the Icahn School of Medicine at Mount Sinai introduced LoGoFunc, an advanced computational tool that predicts pathogenic gain- and loss-of-function variants ...

This article explores what knowledge graphs are, why they are becoming a favourable data storage format, and discusses their potential to improve artificial intelligence and machine learning ...

Salesforce Research: Knowledge graphs and machine learning to power Einstein Explainable AI in real life could mean Einstein not just answering your questions, but also providing justification.

Graph kernels are computer functions that measure the similarity of pairs of graphs in machine learning applications but their complexity have posed a challenge to classical computing systems.

Now, an international team led by Etan Orgel, MD, at Children's Hospital Los Angeles has developed a novel machine learning model that can predict an individual child's risk of developing hearing ...

The Dice loss function is widely used to train deep learning algorithms in medical segmentation tasks. However, in multi-class segmentation tasks, the Dice loss function can result in imbalanced ...

Novel Machine Learning Techniques Measure Ocean Oxygen Loss More Accurately Georgia Tech researchers introduced a groundbreaking machine learning technique to improve the assessment and analysis of ...