Google’s artificial intelligence system from Google’s DeepMind unit will try to beat the very top player in the ancient Chinese board game of Go, starting tomorrow.

The contest will be livestreamed on DeepMind’s YouTube channel. The five matches can be watched on March 8, 9, 11, 12 and 14. Starting at 8 pm Pacific Time, it also will be broadcasted on television in Asia through Korea’s Baduk TV, as well as in China, Japan and other countries, reported Forbes.

Google’s AI is going up against worldwide champion Lee Se-dol of South Korea. If the AI beats him (or comes close), it will show that computers are coming closer to “emulating” the human brain, or at least functions of it, reported Forbes. Since there are so many moves in Go, researchers have done research on speech and image recognition for the DeepMind system. It uses two neural networks employing deep learning, which attempt to mimic the activity of neuron layers in the human neocortex.

Apache Flink 1.0.0 released
It has been more than a year since the Apache Software Foundation announced Apache Flink as a top-level Project, and now it has finally made it to version 1.0. Flink is a streaming dataflow engine designed to provide data distribution, communication and fault tolerance for distributed computations.

0308.sdt-news-fink

Apache Flink 1.0.0 is just the beginning of a 1.x.x series of releases, which will have backward compatibility with 1.0.0. “This means that applications written against stable APIs of Flink 1.0.0 will compile and run with all Flink versions in the [1.x] series,” the Flink team wrote in a blog post. “This is the first time we are formally guaranteeing compatibility in Flink’s history, and we therefore see this release as a major milestone of the project, perhaps the most important since graduation as a top-level project.”

The latest release features interface stability annotations for API classes and methods; out-of-core state support; savepoints and version upgrades; a library for complex event processing; enhanced monitoring interface; improved checkpointing control and monitoring; and improved Kafka connector and Kafka support.

New additions to data analytics using Oracle’s software program
Oracle released a free and open API and developer kit for its Data Analytics Accelerator (DAX) in SPARC processors through its Software in Silicon Developer Program. This program also lets developers view sample use cases and program code to test and validate how DAX can speed up analytics and applications.