Last year, YouPorn Foresights used AI to predict what the most popular search terms would be in porn. This year the company did something similar. The data science and machine learning teams trained a recurrent neural network to look at the current most popular performer names, and have now created what science has predicted that the next generation of stars will call themselves. There are 69 names, both male and female, and the results are hilarious. As you would expect from AI, the names sound weird and goofy. My favorite names from the list are Man Master, Al Gorr (obviously my future kid), Summer Sax, and Paris Buttomina. It’s a safe-for-work list that you can check out here.
Check out this video from OpenAI of a robot hand learning how to manipulate a block. This an incredibly difficult task, and the level of difficulty is one of the many reasons Apple needs humans assembling iPhones. OpenAI used machine learning and virtual simulations for the robot to spend 100 years of trial and error to learn what you’ll see in the video (TechnologyReview has more details). Those virtual lessons were then used by the real-world robot hand, and it’s pretty darned cool. Check it out.
Adam Christianson from the Maccast and Bryan Chaffin join Jeff Gamet to talk about Apple’s AI boss John Giannandrea, plus they share their thoughts on a leaked photo showing the next iPhone’s glass front.
Apple hired former Google AI chief back in April, John Giannandrea. Now he has been given the reins over Siri only three months after getting hired.
John Martellaro and Andrew Orr join Jeff Gamet to look at the potential problems artificial intelligence systems could pose, plus they look at video game addiction.
Microsoft is ramping up its stake in the artificial intelligence market by buying the AI and machine learning startup Bonsai.
Every tech giant is working on what’s labelled Artificial Intelligence (AI). But just what is AI, really? Simple Machine Learning? Or the duplication of human intellectual capabilities and beyond? John has the story. Plus more news debris.
According to Apple, users would start off their Siri interactions with “Hey Siri” even when the only way to access the service was by using the iPhone’s Home button.
These are both great tools to use, and it makes it easier to find out how a company treats your data before you start using a service.
Facebook CEO Mark Zuckerberg and Apple CEO Tim Cook have been trading public barbs on privacy, and Bryan Chaffin and Jeff Gamet discuss the public tiff. They also discuss Apple’s hiring of Google’s former head of artificial intelligence and what it might mean for Siri (hint: good things!). They cap the show with a look at what it would take to make HomeKit the premier home automation platform.
Bryan and Jeff discuss the ongoing #deletefacebook discussion and whether it’s a tempest in a teapot. They also talk about autonomous vehicles, regulation, and our future with driverless cars, and also our future with artificial intelligence.
A creative AI called SHELDON has created its own podcast, and the result is an infinite, personalized experience. SHELDON was created by James Ryan, a PhD student from University of California (named after Sheldon Klein, an early pioneer of expressive AI). The goal is to create a unique podcast experience for each user. When you listen to your first podcast episode, SHELDON randomly assigns you a county in the world it created. Each simulated country has its own characters with their own individual stories. On February 2 James released a proof-of-concept pilot version on Soundcloud, and he wants to release a beta version of the podcast in early 2019.
The smart toothbrush is available today at Apple.com and in select Apple retail stores, for US$99.95.
Apple usually avoids talking about its projects, but it also wants to reassure researchers that you can still publish papers as an employee.
With this single feature, Siri could grow and develop.
Siri is going to get smarter in iOS 11, and you can find out more by tuning into the special event tomorrow.
Greg Joswiak, vice president of iOS, iPad, and iPhone Marketing, and executive Alex Acero gave Wired a peek behind the curtains, and it’s interesting as can be.
You can thank Chris Lattner for Apple’s Swift programming language and soon you may be able to thank him for Google’s artificial intelligence efforts, too, because now that’s where he works.
Facebook’s language translation is now being done entirely with neural networks, increasing the average accuracy of the system by 11%.
It’s a true story; Facebook had its chatbots dedicate machine learning to talking amongst themselves.