Inductive logic programming (ILP) and machine learning together represent a powerful synthesis of symbolic reasoning and statistical inference. ILP focuses on deriving interpretable logic rules from ...

This guest post from Alegion explores the reality of machine learning bias and how to mitigate its impact on AI systems. Artificial intelligence (AI) isn’t perfect. It exists as a combination of ...

Artificial intelligence. Machine learning. It’s easy to consider sectors such as this free of bias, as not much is these days. But that might not be the case. According to a new report from Alegion, ...

Machine learning is a multibillion-dollar business with seemingly endless potential, but it poses some risks. Here's how to avoid the most common machine learning mistakes. Machine learning technology ...

Saranya Dadi, a second-year computer science student at RIT, is conducting research to make machine learning for automated surveillance systems fairer. However, she’s not just focusing on making it ...

Physics may seem like its own world, but different sectors using machine learning are all part of the same universe. In 2017, Savannah Thais attended the NeurIPS machine-learning conference in Long ...