Previous columns in this series introduced the problem of data protection in machine learning (ML), emphasizing the real challenge that operational query data pose. That is, when you use an ML system, ...

With machine learning, programs and code can learn from repeated iterations and improve themselves in a supervised or unsupervised context. This allows for an accelerated progression so that your ...

As we push forward into the future, it seems more and more certain that artificial intelligence and machine learning are going to be massive pieces of our collective future. Continuously producing and ...

Jordan Awan receives funding from the National Science Foundation and the National Institute of Health. He also serves as a privacy consultant for the federal non-profit, MITRE. In statistics and ...