Machine learning for iOS

Most of the de-facto standard tools in domains listed above are written in iOS-unfriendly languages (Python/Java/R/Matlab) so find something appropriate for your iOS application may be a challenging task. This list consists mainly of libraries written in Objective-C, Swift, C, C++, JavaScript and some other languages if they can be easily ported to iOS. Also links to some relevant web APIs, blog posts, videos and learning materials included.

– via alexsosn.github.io

解放你的双手 — 让普通家电也能被Siri召唤_生活记录_什么值得买

       自iOS10发布后,iphoner可以使用其中增加的“Home”应用,来管理控制支持HomeKit框架的智能家居设备,并且可以通过Siri实现语音控制 。时至今日,兼容HomeKit的智能设备越来越多,但是还是不够丰富,你没有像买普通家电那样有很多种选择,而且我们大多数人家里以前买的家电可能都不兼容HomeKit,为了能让Siri控制而更换掉家里原本用的好好的家电,显然很..不..值!(这里想用张大妈的LOGO,可是表情库里没有 )。那么有没有可能让普通家电也能被Siri召唤呢?必须能!不然我岂不是要背负标题党的骂名了?

Source: 解放你的双手 — 让普通家电也能被Siri召唤生活记录什么值得买

National Research Foundation – Virtual Singapore

The programme will support the development of semantically enriched 3D model of Singapore which includes detailed information such as texture, geometry and topology of city objects and terrain attributes. Advanced information and modelling technology will allow dynamic and real-time data to be incorporated on top of static city data. Research funding will be available over 5 years to support research in the areas of automatic acquisition of 3D city models, virtual experimentation, virtual test-bedding and c

Source: National Research Foundation – Virtual Singapore

Neural Networks in iOS 10 and macOS

Apple has been using machine learning in their products for a long time: Siri answers our questions and entertains us, iPhoto recognizes faces in our photos, Mail app detects spam messages. As app developers, we have access to some capabilities exposed by Apple’s APIs such as face detection, and starting with iOS 10, we’ll gain a high-level API for speech recognition and SiriKit.

Source: Neural Networks in iOS 10 and macOS