This time we are welcoming two Experts: Oleh Dokuka and Mary Grygleski. Tonight we are going to experience all the insights on Reactive Programming and Machine Learning

Our experts - Oleh Dokuka and Mary Grygleski are going to share with you their talk Teach your Pacman to play with ML and Reactive Streams. You will know a lot about Machine Learning and Reactive Programming.

Today the adoption of Machine Learning is enormous. We use it almost everywhere: on clusters, on our phones, on hand watches and even on the teapots. But, who knows how challenging could be the development of the continuously improved (or even real-time) machine learning. Servers' capacity, stability, performance, along with a proper ML algorithm selection and many other properties must be taken into account. In this presentation, we will be demonstrating bots education for multiplayer Pacman game. We will show how elegant could be the development of such a problem with Kafka, Akka, RSocket and ML Reinforcement Learning.

In addition, Oleh, will be sharing some provoking thoughts on the future of Reactive Programming and Reactive Streams in his talk The State of Reactive Streams:

The Reactive Streams specification is state of the art for asynchronous, non-blocking data streams with the fine-grained flow control. It brought a breath of fresh air to reactive programming in the Java ecosystem. As a result, we saw the gathering of many reactive libraries and APIs by one specification.

Clearly, that was done for a good future… but, does it have any future nowadays? How other programming ecosystems reacted to the appearance of the reactive-streams standard and did they adopted that standard or not? Moreover, will it survive after the introduction of fibers in JVM?

All these questions will be answered during the presentation, so we will clearly understand what the future waits for Reactive Streams.