The ANDATA Tools Fall Release 4.4 focuses on stability and performance improvements that aim at making a more efficient workflow possible. A major new feature in Stipulator is the possibility to use an intermediate storage (cache) of processed signals in memory. Through this new feature it is possible to speed up a repeated generation of plots or execution of calculations based on the same data. Moreover ...
To make ANDATA tools better for our customers, we aim for continuous and regular releases. Every update of our tools includes improvements for speed and reliability, as well as many user requests arising from our Support process or direct contact with our customers...
The major improvement with respect to version 4.3 concerns the tool documentation. User Guides for Stipulator, Brainer, Mapper and Expectator have been rewritten, significant parts of them completely from scratch, and thoroughly reviewed...
In addition to some enhancements due to Deep Learning (see blog Deep Learning in Matlab) the BRAINER also provides further features to make solving machine learning problems more flexible and efficient. These new functionalities allow a number of new use cases...