Artificial Intelligence January 7
Artificial Intelligence November 9, 2015
Artificial Intelligence October 30, 2015
Apple’s famed obsession with secrecy in its product development process is hampering its work in the field of artificial intelligence, say academics working in the field. Bloomberg reports that AI experts believe that lack of two-way sharing of information slows development.
“Apple is off the scale in terms of secrecy,” says Richard Zemel, a professor in the computer science department at the University of Toronto. “They’re completely out of the loop.”
Apple Maps was cited as an example of what can go wrong when AI teams within Apple are cut off from other work being done in the field – and even from researchers in other teams within Apple. Worse, it is claimed, the approach makes it impossible for Apple to recruit the brightest people in the field …
Artificial Intelligence September 14, 2015
Eric Schmidt, executive chairman of Google parent company Alphabet, has made a thinly-veiled attack on Apple Music in a BBC op-ed on artificial intelligence. He described human-curated music selections as a decade out of data and an elitist approach.
A decade ago, to launch a digital music service, you probably would have enlisted a handful of elite tastemakers to pick the hottest new music.
Today, you’re much better off building a smart system that can learn from the real world – what actual listeners are most likely to like next – and help you predict who and where the next Adele might be …
Artificial Intelligence September 7, 2015
Reuters reports that Apple is working on significantly increasing the number of artificial intelligence specialists it employs as it works to make Siri smarter, but that the company’s commitment to user privacy imposes constraints.
As part of its push, the company is currently trying to hire at least 86 more employees with expertise in the branch of artificial intelligence known as machine learning, according to a recent analysis of Apple job postings. The company has also stepped up its courtship of machine-learning PhD’s, joining Google, Amazon, Facebook and others in a fierce contest, leading academics say.
Machine learning relies heavily on large-scale data-crunching to figure out what users are likely to want to know. But while Google analyses the data of Android users en-masse, Apple’s approach to privacy means that far less data is sent from the iPhone to its servers, making it more challenging to increase Siri’s intelligence … expand full story
Artificial Intelligence May 13, 2015