MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation.

The current boom in artificial intelligence can be traced back to 2012 and a breakthrough during a competition built around ImageNet, a set of 14 million labeled images. In the competition, a method ...

Tsukuba, Japan—Machine learning systems for autonomous driving, diagnostic medical imaging, and other applications require reliable and safe output. One such system design is the N-version machine ...

The massive datasets that power machine learning algorithms and systems are complex, noisy, and vulnerable to various kinds of errors, contamination, and adversarial corruptions. As data science and ...

Today’s data pose unprecedented challenges for machine learning, statistics and data analysis. It may be incomplete, noisy, or exposed to some unknown source of corruption. Moreover, recent phenomenon ...

Who is the Master's in Artificial Intelligence and Machine Learning program for? Drexel’s College of Computing & Informatics' Master of Science in Artificial Intelligence and Machine Learning (MSAIML) ...