New Scientist reports that Intel plans to release its collection of Bayesian network software. These software libraries will help software developers to build better machine learning capabilities into their programs. The article claims the new Bayesian network libraries will be optimized for Intel’s microprocessor hardware, which is the most commonly used worldwide. This should make for more efficient software, and let developers without extensive knowledge of machine learning use the Bayesian networks more easily. Intel claims the libraries should prove useful in a wide range of fields including data-mining, computer vision, robotics, bioinformatics, diagnostic and decision making systems.