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Geekz Snow 2019-08-08
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Microsoft’s GitHub Actions for workflow automation from the beginning of an idea to production got an upgrade today that brings CI/CD to teams building and sharing code.

Continuous integration and continuous delivery or CI/CD is a way for developers working on the same project to merge and integrate changes into a code base without conflict.

GitHub also announced today its code repository is now used by 40 million developers worldwide, up from 31 million in fall 2018 and 24 million in 2017.

The latest version of GitHub Actions in beta extends support to programming languages and frameworks like C/C++, Ruby, PHP, and Python.

GitHub first introduced Actions in developer beta at GitHub Universe in fall 2018 with support for Java and .NET projects.

“The way that the initial launch for Actions worked was anything that you can basically run on Linux in a container was supported, OK?

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Geekz Snow 2019-08-08
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IBM Research today introduced AI Explainability 360, an open source collection of state-of-the-art algorithms that use a range of techniques to explain AI model decision-making.

The launch follows IBM’s release a year ago of AI Fairness 360 for the detection and mitigation of bias in AI models.

IBM is sharing its latest toolkit in order to increase trust and verification of artificial intelligence and help businesses that must comply with regulations to use AI, IBM Research fellow and responsible AI lead Saska Mojsilovic told VentureBeat in a phone interview.

“That’s fundamentally important, because we know people in organizations will not use or deploy AI technologies unless they really trust their decisions.

And because we create infrastructure for a good part of this world, it is fundamentally important for us — not because of our own internal deployments of AI or products that we might have in this space, but it’s fundamentally important to create these capabilities because our clients and the world will leverage them,” she said.

The toolkit is also being shared, Mojsilovic said, because industry progress on the creation of trustworthy AI has been “painfully slow.”

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