Java-Friendly Machine Learning With the JSR381

Machine learning (ML) is a hugely important global trend that affects every part of the stack from the user to the hardware. All developers, and especially Java developers, need to understand how to build apps that use ML. However, there are not many coding options for Java developers. The current ML libraries available for Java developers have several issues – either they are very complex and designed for data scientists, or they are Java wrappers around C/C libraries and don’t “feel” like Java tools. Now there is JSR381, an open-source, Java-friendly API for ML, specifically visual recognition. This API has a wide range of business applications across many types of industries and use cases. In this session, we will discuss the goals of JSR381 (“VisRec”), review the API, and show code running in IntelliJ IDEA. —————————————————————- Speaker Name: Frank Greco and Zoran Sevarac Speaker bio: Sevarac is an AI and software engineering professor, entrepreneur, and open-source enthusiast