Description: David Januszewski looks at the the development of open source software in statistics. By comparing the virtues between SAS, the proprietary software and R, the open source software used by statisticians, he thinks that open source software "can and does coexist with the proprietary software" and "both have a purpose. "He further looks at the availability of the open source software in the actuarial profession and does not see "open source software sweeping across actuarial science like it has with other fields". Dave explains the possible uses and virtues of the open source software to actuaries and asserts that it may be beneficial that the open source is used together with the propriety software.

Description: This article explores the possibility of using machine learning to improve, or potentially rewrite, actuarial code within actuarial software.

Description: The purpose of this article is to provide an overview of soft computing applications in actuarial science. Soft computing refers to modes of computing in which precision is traded for tractability, robustness and ease of implementation.

Description: Big data and machine learning have been making headlines across industries everywhere, how will it impact the world of actuarial science?

Description: This paper first discusses the history of the legislation of the joint and survivor benefits for the uniformed service personnel. It then goes on to address the specific actuarial assumptions made and the formulas developed for applying these assumptions for adaptability to the UNIVAC. This paper closes with specific programming procedures involved in using the UNIVAC.