Goto

Collaborating Authors

giannandrea


Here's What AI Will Never Be Able to Do

#artificialintelligence

At a Fintech conference in New York put on by Fordham University in the spring of 2017, an AI expert made a bold prediction: Someday there would be a company with a market cap of one trillion dollars. He predicted that this valuation, which at the time seemed incredible, would be based on that firm's extensive use of AI. He was correct in at least one regard: Apple became the world's first trillion-dollar company a little over a year later. Was Apple's staggering valuation due to the power of AI? Are AI and, more broadly, data analytics, the key drivers of business growth? Apple uses data analytics and AI extensively.


The Apple Car Is Now Officially an Artificial Intelligence Project

#artificialintelligence

This fall has seen a fantastic array of new products from Apple, ranging from new Apple Watches and iPads to the 5G iPhone 12 lineup to the insanely powerful Apple Silicon MacBooks, and with all of this going on it may be easy to forget that Apple still has at least a couple of much farther-reaching projects that it's quietly working on behind the scenes. Chief among these of course is Project Titan, more colloquially known as the "Apple Car" -- an ambitious project that's been in the works for at least seven years now, and probably still won't really see the light of day for another 3-5 years. That doesn't mean Apple isn't still actively moving ahead, however, and now a new report from Bloomberg's Mark Gurman sheds some more light on exactly what Apple is up to these days with Project Titan. It's probably no big surprise that the biggest challenge of developing a self-driving car is the "self-driving" part -- the artificial intelligence and machine learning necessary to allow onboard computers to adapt to a whole variety of rapidly changing conditions. While autonomous car technology is rapidly evolving in this area, we're still a long way away from the point at which a car will be truly 100% autonomous and able to handle every possible scenario in which a human driver may find themselves.


Apple Shifts Leadership of Self-Driving Car Unit to AI Chief

#artificialintelligence

Apple Inc. has moved its self-driving car unit under the leadership of top artificial intelligence executive John Giannandrea, who will oversee the company's continued work on an autonomous system that could eventually be used in its own car. The project, known as Titan, is run day-to-day by Doug Field. His team of hundreds of engineers have moved to Giannandrea's artificial intelligence and machine-learning group, according to people familiar with the change. An Apple spokesman declined to comment. Previously, Field reported to Bob Mansfield, Apple's former senior vice president of hardware engineering.


Apple believes it is the leader in machine learning, even over Google – IAM Network

#artificialintelligence

John Giannandrea, Apple's head of AI, sat down for an interview with Ars Technica to talk about the company's approach to machine learning and why he believes Apple is ahead of everyone else in the game. When asked about his experience when first joining the company, Giannandrea talked about how he found out that Apple did not even have a machine learning team working on handwriting for the Apple Pencil. He says things have changed dramatically since then. "When I joined Apple, I was already an iPad user, and I loved the Pencil. So, I would track down the software teams and I would say, 'Okay, where's the machine learning team that's working on handwriting?' And I couldn't find it. I knew that there was so much machine learning that Apple should do that it was surprising that not everything was actually being done. 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."


Apple using machine learning for almost everything - 9to5Mac

#artificialintelligence

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 … Giannandrea spoke with ArsTechnica's Samuel Axon, outlining how Apple uses ML now. There's a whole bunch of new experiences that are powered by machine learning. And these are things like language translation, or on-device dictation, or our new features around health, like sleep and hand washing, and stuff we've released in the past around heart health and things like this. I think there are increasingly fewer and fewer places in iOS where we're not using machine learning.


Here's why Apple believes it's an AI leader--and why it says critics have it all wrong

#artificialintelligence

Machine learning (ML) and artificial intelligence (AI) now permeate nearly every feature on the iPhone, but Apple hasn't been touting these technologies like some of its competitors have. I wanted to understand more about Apple's approach, so I spent an hour talking with two Apple executives about the company's strategy--and the privacy implications of all the new features based on AI and ML. Despite this, Apple has included dedicated hardware for machine learning tasks in most of the devices it ships. Machine intelligence-driven functionality increasingly dominates the keynotes where Apple executives take the stage to introduce new features for iPhones, iPads, or the Apple Watch. The introduction of Macs with Apple silicon later this year will bring many of the same machine intelligence developments to the company's laptops and desktops, too.


Apple Acquires Machine Learning Startup Inductiv

#artificialintelligence

Apple (NASDAQ:AAPL) has acquired Inductiv, a machine-learning (ML) start-up that uses artificial intelligence (AI) to automatically identify and correct errors that may be lurking in data, according to a Bloomberg report. This marks the second such acquisition in as many months aimed at improving the functionality of Siri, the iPhone's voice-activated digital assistant. The company confirmed the deal using its typical boilerplate language, saying that Apple "buys smaller technology companies from time to time, and we generally do not discuss our purpose or plans." ML is a branch of AI that helps computers learn tasks without being specifically programmed for them. The systems use sophisticated algorithms to sift through reams of data, finding patterns that might otherwise be missed, and drawing conclusions based on what it finds.


Global Big Data Conference

#artificialintelligence

The potential benefits of AI for businesses are huge. But those benefits could be eroded by hidden biases that damage brand reputation and customer trust, according to a survey of US and UK businesses commissioned by DataRobot. According to DataRobot's "The State of AI Bias in 2019," which was released last week, 42% of organizations surveyed reported being "very to extremely" concerned about AI bias occurring in their organizations. This number jibes with another finding from the DataRobot survey: that 38% of the organizations surveyed reported they use "black box" machine learning systems that offer no insight into how it makes decisions. The juxtaposition of AI bias concerns and black box systems is enough to warrant serious questions about the direction compaines should take with their machine learning, according to John Giannandrea, Apple's senior vice president of machine learning and AI strategy.


AI Bias a Real Concern in Business

#artificialintelligence

This number jibes with another finding from the DataRobot survey: that 38% of the organizations surveyed reported they use "black box" machine learning systems that offer no insight into how it makes decisions. The juxtaposition of AI bias concerns and black box systems is enough to warrant serious questions about the direction compaines should take with their machine learning, according to John Giannandrea, Apple's senior vice president of machine learning and AI strategy. "If someone is trying to sell you a black box system… and you don't know how it works or what data was used to train it, then I wouldn't trust it," DataRobot quotes Giannandrea as saying in its report. The survey indicates that organizations are aware of the potential pitfalls and are actively working to mitigate it. DataRobot found that 64% of survey respondents say they're "very to extremely" confident in their ability to identify AI bias.


AI Bias a Real Concern in Business, Survey Says

#artificialintelligence

The potential benefits of AI for businesses are huge. But those benefits could be eroded by hidden biases that damage brand reputation and customer trust, according to a survey of US and UK businesses commissioned by DataRobot. According to DataRobot's "The State of AI Bias in 2019," which was released last week, 42% of organizations surveyed reported being "very to extremely" concerned about AI bias occurring in their organizations. This number jibes with another finding from the DataRobot survey: that 38% of the organizations surveyed reported they use "black box" machine learning systems that offer no insight into how it makes decisions. The juxtaposition of AI bias concerns and black box systems is enough to warrant serious questions about the direction compaines should take with their machine learning, according to John Giannandrea, Apple's senior vice president of machine learning and AI strategy.