Don’t ask me what any of this means, but it might be of interest for some of you real Mac users. Apple has released MLX, “an array framework for machine learning on Apple silicon, brought to you by Apple machine learning research.”
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Apple’s artificial intelligence (AI) chief says that Apple is using machine learning in almost every aspect of how we interact with our devices, but there is much more to come.
John Giannandrea says he moved from Google to Apple because the potential of machine learning (ML) to impact people’s lives is so much greater at the Cupertino company …
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Apple recently acquired the startup Laserlike, according to a new report from The Information. The company was founded by former Google engineers and makes it easier for users to follow news in various topics.
Apple has promoted recent hire John Giannandrea to its executive team with a new role: senior vice president of Machine Learning and Artificial Intelligence Strategy. Giannandrea joined Apple earlier this year after leaving his role of search and AI chief at Google.
In the latest post on its machine learning blog, the Apple audio software engineering team explains the challenges of speech detection for smart speakers, and how it uses machine learning models running on the HomePod’s A8 chip to help improve far-field accuracy.
Apple has today shared that it will be attending the 32nd Conference on Neural Information Processing Systems (NeurIPS). Apple will have members of its ML team at a booth and notes it has many open positions as it works to build “a team of exceptional researchers and engineers.”
In Apple’s latest Machine Learning Journal entry, the Siri Speech Recognition Team shares an overview of the work behind improving Siri’s understanding of names for regional points-of-interest by incorporating the user’s location.
Based in part on data from the U.S. Census Bureau, Apple has been able to tune Siri to better understand users based on where they are and what POIs they’re more likely to ask about.
As Apple hired away Google’s chief of search and AI this past spring, Tim Cook noted that he would be heading up the company’s AI and machine learning strategy. Now, we’re learning more about how some teams are being restructured in a way that could bring future improvements to Siri and more.
Apple this week has shared the framework for Turi Create on GitHub. This framework, Apple says, should make it easier for developers to build machine learning models.
Apple has shared its latest white paper via its machine learning journal. Today’s entry is “Learning with Privacy at Scale” and covers specific algorithms Apple is using with differential privacy to improve product features with some specific use cases like discovering popular emoji.
Apple has published its latest machine learning journal entry with a new article detailing the challenges of implementing facial detection features while maintaining a high level of privacy.
Apple has published a fascinating new entry in its Machine Learning Journal this month that explains how the voice-activated ‘Hey Siri’ detector works in detail. While many of these entries tend to be too in depth for the average reader (i.e. me), October’s entry from the Siri team includes several interesting (and understandable!) tidbits about what happens behind-the-scenes when you use ‘Hey Siri’ on your iPhone and Apple Watch.
After Apple decided to allow its researchers to publicly share their findings, its first academic paper was published at the end of last year. Now, that research has just won a “Best Paper Award” at a prestigious machine learning and computer vision conference.
After first launching its new Machine Learning Journal for Apple engineers to share with the community, today the Siri team has shared three new blog posts based on research being presented at Interspeech 2017 in Stockholm this week.
Apple is known for its secrecy when it comes to ongoing product development, but the company is operating a little different with its efforts around artificial intelligence and machine learning. Apple’s director of machine learning, Carlos Guestrin, openly discussed Apple’s plans to grow its engineering presence in Seattle in a new GeekWire interview.
One of the areas where Apple has seemingly fallen behind its competition — or, more likely, not yet ready to disclose its technology’s full potential — is artificial intelligence. However, there’s no denying that the company is pushing hard towards bettering its existing products (like Siri) behind closed doors, and the latest AI hire is but another proof of such commitment…
Eddy Cue, Tom Gruber, Alex Acero, Craig Federighi
Apple is continuing to add to its team of machine learning experts in Cupertino. TechCrunch reports that Apple has acquired Tuplejump, which describes itself as a service that “presents all your data in a familiar format” on their now-removed website. An Apple spokesperson gave TC the usual non-denial confirmation regarding the acquisition:
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 …
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 …
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 …
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