Research

Apple set to smarten up Siri with some help from Google

Apple set to smarten up Siri with some help from Google

He also wrote, "John shares our commitment to privacy and our thoughtful approach as we make computers even smarter and more personal", according to the report in NYT.

With the recent backlash on Facebook, Google & Microsoft making User data accessible for Private firms to manipulate, with European Union even stepping towards to charge a digital tax for these firms, Apple appointment make even more exciting who is committed to building a leakproof, privacy-focused AI machine.

In recent weeks, however, Apple has accelerated hiring for Siri, peaking with 161 openings posted in one day in March - and now Giannandrea's hiring, first reported by the New York Times. The hire is being flagged as a major victory for Apple, which has always been viewed as lagging behind its rivals Google, Facebook and Amazon when it comes to AI. Apple had recently hired Russ Salakhutdinov, a professor at Carnegie Mellon University.

At Google, Mr. Giannandrea helped lead the push to integrate AI throughout Google products including internet search, Gmail and the Google Assistant.

Apart from enhancing Apple Siri AI capabilities, Giannandrea would also possibly supervise the development of products like Core ML for iOS app developers and the dedicated AI Chip, which is allegedly under development.

Giannandrea leaves Google after having worked at the company for eight years.

"What I object to is this assumption that we will leap to some kind of super-intelligent system that will then make humans obsolete", he said.

The conventional wisdom is that Apple is a laggard in the race to infuse consumer technology with artificial intelligence. Though Apple tapped into the early market for digital assistants with Siri, it has since been outpaced by rivals due to less data access, resources and research talent.

Users have often spoken of what they view as Siri's inferior quality when compared to Google Assistant and Amazon's Alexa. It was only in 2016 that Apple allowed its employees to publish research in AI - something that's standard for AI researchers at Google and Facebook. Search is a key component of Apple's own software and services efforts.

Apple has said it places a premium on user privacy when it comes to machine learning. Machine learning experts are in high demand in Silicon Valley, with salaries often exceeding eight figures.