Newsbits: Kafka 1.0 is released and Neural Networks Get Fooled


Welcome to NewsBits where you'll find the database, cloud, and developer news that you need for the week ending November 3rd:

And now, those NewsBits in full:

Database Bits

Kafka: Apache Kafka, a scalable Open Source messaging broker capable of handling trillions of messages a day, has reached the 1.0 milestone with version 1.0 being announced on Nov 1, 2017. Version 1.0 includes exactly-once semantics, a long-awaited feature, along with better performance.

OmniDB: OmniDB 2.3, the latest version of the browser-based database management tool, has been released. Version 2.3 includes some new features including a PL/SQL function debugger and an auto-save feature for query tabs, as well as enhancements that automatically close database connections.

Developer Bits

Visual Studio 2018: The Visual Studio Code 2018 roadmap has been released on Github giving developers a peek into the future of the programming editor.

NodeJS: The Node Foundation has announced that NodeJS 8.9 will now gain Long Term Support (LTS) status, and all new features will be updated in Node 9. Organizations that require stability can now upgrade to Node 8 and take advantage of ES6 features such as Async / Await, native HTTP/2 support, ES6 modules, and substantially improved performance with the new Turbofan and Ignition execution pipelines.

Typescript: Microsoft has announced the release of Typescript 2.6, the latest version of their statically-typed Javascript superset language. New features include an option for more strict function type checking, non-native translations via the --locale flag, error-suppressing comments, and updated Visual Studio Code tools.

ZK: ZK, the enterprise toolkit for Java web development, announced the release of ZK 8.5.0. The latest version brings web real-time web sockets to the platform, along with new layout types and themes. The latest version also includes granular control over browser history and updates to their popular Grid widgets.

And Finally...

Researchers at Cornell University have published a paper on fooling neural networks, in which they 3D print objects that are able to fool neural networks into misclassifying images (called an "adversarial model"). In the paper, they demonstrate a 3D-printed turtle which can consistently fool the Google Inception v3 classifier into thinking it is a rifle.

NewsBits. News in bits, every Friday at Compose.

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John O'Connor
John O'Connor is a code junky, educator, and amateur dad that loves letting the smoke out of gadgets, turning caffeine into code, and writing about it all. Love this article? Head over to John O'Connor’s author page to keep reading.

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