John Giannandrea and Bob Borchers talk about why Apple is best positioned to “lead the industry” in building machine intelligence-driven features and products
that's a failure. And so Siri, Alexa, Google Assistant are failures. But Face ID, plam rejection are successes. https://arstechnica.com/... Casilli / @antoniocasilli : This long interview with two Apple AI barons (by an Ars Technica resident Apple fanboy) is annoying for its deference and its ideological use of the “privacy preserving” label, but it contains interesting glimpses into ML-related #digitallabor both by micro-workers and by users. https://twitter.com/... https://twitter.com/...
Really great deep dive into all of the ways Apple is using on-device AI: “I really honestly think there's not a corner of iOS or Apple experiences that will not be transformed by machine learning over the coming few years.” https://arstechnica.com/...
I like this article. I like Apple's approach to ML because it blends in. When applied, the feature should not expose that it's based on ML — that's a failure. And so Siri, Alexa, Google Assistant are failures. But Face ID, plam rejection are successes. https://arstechnica.com/...
This long interview with two Apple AI barons (by an Ars Technica resident Apple fanboy) is annoying for its deference and its ideological use of the “privacy preserving” label, but it contains interesting glimpses into ML-related #digitallabor both by micro-workers and by users. …