JSR-381: A Standard Java API for Visual Recognition using Machine Learning by Kevin Berendsen
Machine Learning (ML) is a huge, long-term global trend that affects every part of the stack from the user to the hardware. All developers, especially Java developers, need to understand how to build apps that use ML. There’s doesn’t seem to many options other than learning Python. JSR-381 is a specification of JCP.org to standardize an important subset of ML which is visual recognition. Visual recognition is the visual aspect of ML and widely used across many business applications in the real world. We’ll talk about goals with JSR-381, the architecture and run some cool examples. We even have a Star Wars demo that detects Tie Fighters in case they buzz your house!
About the speaker
Kevin Berendsen is software engineer at OpenValue and passionate about bringing Java and ML together. He’s an Expert Group member and maintainer of JSR-381.