RubyMotion versus Swift for iOS Development

As I worked on the IBM Watson and Apple Core ML partnership, I was inspired to explore more ways to showcase machine learning for developers in different ways. One of my ideas was to look into using RubyMotion with IBM Watson. If you’re not familiar, RubyMotion lets developers quickly write cross-platform native apps for iOS, Android, and OS X using the Ruby programming language. The applications are statically compiled and then call into the native platform APIs. As a Rubyist,

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Video: Machine Learning on iOS, Integrating IBM Watson with Core ML at AltConf

Earlier this year I attended AltConf in San Jose, a community-driven and supported event held alongside Apple’s WWDC. IBM sponsored the event and offered numerous workshops to attendees. In addition to assisting with the workshops and manning the booth, I had a talk accepted on Machine Learning on iOS: Integrating IBM Watson with Core ML. Here’s the recording of the talk I gave with Devin Conley, IBM’s lead engineer on the project: The first half of the session I presented

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Defending iOS with cheap iPhones

Benedict Evans delivers a compelling argument on why a cheaper iPhone is essential for Apple: A new, cheaper, high-volume iPhone would have the potential to mitigate or even reverse this trend. Clearly, like current low-end Android, it would sell to a demographic with a lower average engagement and purchase rate and so the average iOS rates would drop. However, it would mean that iOS’s reach would expand significantly at the expense of Android. How would a $200 or $300 iPhone

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