Everybody loves Pixar’s beloved toy-lamp mascot, Luxo Jr., right? Apple just made a new lamp-like robot prototype that looks super similar. The iPhone giant’s machine learning research team developed an expressively social robotic prototype in desk-lamp form, according to a recent paper, blog post and video.
The new robot could figure into rumored plans for a robotic home hub — and it could reshape how we interact with smart home devices.
As artificial intelligence and machine learning become mainstream in business, large tech firms like Amazon and Facebook look to introduce AI features that transform the way we engage online through predictive purchase models and other algorithmic means. But how does Apple use AI?
But it definitely is. Apple’s business teams are cooking up many AI and ML opportunities. Still, Apple takes on AI challenges from a different angle with a more intuitive approach. Let’s look behind the scenes at the world’s largest tech company to see how tomorrow’s ideas are shaping today’s products.
Just like artificial intelligence, which exploded into the mainstream recently, machine learning is the future. While most of us have heard about AI and how it’s changing how everything works with programs like ChatGTP, machine learning might not be as well-known.
Machine learning is a specific branch of AI that focuses on using data and algorithms to imitate how humans learn, with a gradual improvement in accuracy. According to an article on LinkedIn, both are rapidly growing fields. This Machine Learning for Absolute Beginners program can give you a solid foundation if you’re considering a career in either area. It’s now only $29.99 (regularly $300).
As part of the podcasting arms race between tech giant, Spotify has acquired Podz, an AI podcast discovery service for an undisclosed amount of money. Podz generates (or generated) short audio clips that populated a Instagram Stories-style timeline users could flip through to find podcasts they were likely to enjoy listening to.
Apple recently hired ex-Google machine learning scientiest Samy Bengio, making him the latest artificial intelligence expert to jump ship for Cupertino.
iOS 14’s built-in pornographic content blocker stymies searches that include the word “Asian,” according to a computer science student.
This means searches for “Asian food” or “Asian countries” are blocked if the adult content filters are enabled. Similar blocks aren’t in place for search terms including “black,” “white,” “Arab,” “French” and other national or racial descriptors.
For people with non-standard speech — such as those who have experienced strokes, neurodegenerative diseases like Parkinson’s, or developmental disorders — communicating with an AI assistant like Amazon’s Alexa isn’t quite as seamless as it is for many.
With that in mind, a speech recognition startup for atypical speech, called Voiceitt, has developed an accessibility app for iOS that improves Alexa. Here’s how it works.
Becoming a better writer requires feedback. But not everyone has room in their life for writing workshops and deep dives into literature. If you want to improve your writing quickly and easily, you need this web-based tool that uses machine learning to polish your prose.
Apple has launched a new artificial intelligence and machine learning residency program for people from other STEM disciplines wanting to “dip their toe” into the world of cutting edge machine learning.
Michael Rennaker, manager of Apple in Research Academia (ARIA), announced the new initiative on Twitter. The program seeks experts in fields like design, linguistics, neuroscience, and psychology whose interests may cross over with AI.
Apple is using machine learning technology in more and more of its features, John Giannandrea, the company’s senior vice president for machine learning and AI strategy, reveals in a new interview with Ars Technica.
Giannandrea, who joined Apple from a job at Google, said “there are increasingly fewer and fewer places in iOS where we’re not using machine learning.” This stands in strong contrast to a few years ago — and even the point at which Giannandrea landed his Apple job.
Apple purchased Inductiv, a Canadian company that focused on using artificial intelligence to clean up data. They created HoloClean, which was designed to get useful predictions from “noisy, incomplete, and erroneous data.”
The employees of Inductiv joined the team developing Siri, Apple’s voice-driven AI assistant, according to Bloomberg.
When it comes to artificial intelligence (AI), Apple wants to have its cake and eat it, too. That is to say that it wants cutting edge data-driven machine learning on its devices, without violating its own user privacy pledge.
And you know what? It’s managing to pull it off — as the company’s latest AI startup acquisition underlines.
Today’s machine learning AI technologies frequently rely on the free flow of user data. That puts Apple in a tough spot.
While it wants to stay on the cutting edge of artificial intelligence, it doesn’t want to do anything to get in the way of its privacy-first approach to technology. Fortunately, there’s a way around that issue.
Ever dreamed of penning a Hollywood blockbuster? Turns out there’s an app for that: social reading and writing app Wattpad.
With more than 70 million monthly users (and growing fast), Wattpad is a low-key App Store hit. The app is like Instagram, but for sharing stories instead of photos. It’s a great way to find fantastic new stories — and it’s flipping the script on how Hollywood makes movies.
The mayor of Seattle confirmed today that Apple is making a major play to move into Amazon and Microsoft’s backyard.
During a press conference today, Mayor Jenny A. Durkan revealed that Apple plans to increase its expansion into Seattle by hiring an additional 2,000 employees in the next five years.
Pixelmator’s new photo editing app will finally arrive on iPad next week.
Pixelmator Photo offers a collection of nondestructive, desktop-class editing tools with RAW photo support. It also boasts artificial intelligence that makes adjusting things like white balance, exposure, and color a breeze.
Amidst a seemingly never-ending barrage of criticism, Siri is once again looking for a new team leader. After reports of infighting and disagreements about how to advance Siri last year, the internal development team is without direct leadership … again. This time, though, the move was self-inflicted and strategic.
Apple has promoted John Giannandrea to its executive team as senior vice president of Machine Learning and Artificial Intelligence Strategy.
Giannandrea, who joined Apple back in April of this year after eight years at Google, is responsible for Siri and the Core ML framework. Apple CEO Tim Cook said the company is “fortune to have John … driving our efforts in this critical area.”
Apple pulled back the curtain on some of the most complicated features of its HomePod smart speaker this morning with a new blog post that details the machine learning tech that goes into its ‘Hey Siri’ detection.
One of the biggest challenges with making a smart speaker is not only figuring out what to listen for but also what sounds to discard in the process. Apple’s engineers have come up with a number of interesting methods to make Siri work even when you’re blasting tunes our of the HomePod’s speakers.
Apple has reportedly acquired an artificial intelligence startup that specializes in on-device machine learning software.
Silk Labs’ technology processes data without sending it to the cloud, which is a perfect fit for Apple’s privacy-conscious approach to AI. It’s not clear how much Cupertino paid for the company when the deal was struck earlier this year.
Apple has acquired a Danish visual effects company which uses machine learning technology for image and video editing.
Based in Copenhagen, Denmark, the startup Spektral was acquired late in 2017, although news of the purchase has only come to light now. One of the company’s core technologies relates to real-time green screen processing that’s capable of separating people and objects from a background and dropping them into a scene with an alternate backdrop.
The artificial intelligence industry is exploding. Machines might be coming to take our jobs, but working in AI is also one of the most lucrative gigs you can get, with salaries that reach into the 6 figures. But before you get in on AI, there’s a lot to learn.
Google just took the wraps off its big software lineup for 2018. If Apple executives were watching, there’s a lot they should be worried about.
Artificial intelligence has always been one of Google’s strengths over Apple. But in 2018, the search company is going all out, putting AI in everything. Pretty much every app the company has is getting some new machine-learning tricks in the next few weeks that make certain iOS features look ancient.
Check out the biggest announcements from this morning’s Google I/O keynote.
Emoji are many things to many people. Depending who you ask, they’re fun, flirty, confusing, a whole new language, or the demise of language itself.
Google’s Emoji Scavenger Hunt adds one more to the many meanings of emoji: a way to play with machine learning.
Machine learning is shaping up to reshape the world, and there’s plenty of opportunity for developers. So it’s a great time to learn how machine learning works.