Time travel to the UK in 2025: Harry is a teenager with a smartphone and Pauline is a senior citizen with Alzheimer's who relies on smart glasses for independent living. Harry is frustrated his favourite online game is slow, and Pauline is anxious because her healthcare app is unresponsive. Forbes predicts that by 2025 more than 80 billion devices, from wearables and smartphones, to factory and smart-city sensors, will be connected to the internet. Something like 180 trillion gigabytes of data will be generated that year. Currently almost all data we generate is sent to and processed in distant clouds.
On this episode of Recode Decode, hosted by Kara Swisher, Carnegie Mellon's Andrew Moore talks about the future of tech education as fields like artificial intelligence and machine learning take center stage. Moore, the dean of CMU's computer science school, says he's "concerned" that anti-immigrant fervor will deter the next generation of great computer scientists from coming to America, although CMU has not yet seen an impact on its application numbers. "I think it's short-term, and I haven't seen any craziness, though of course, I'm frightened that it'll happen -- on this question of getting really the strongest folks over," Moore said. "If we appear to have a society which doesn't welcome folks from elsewhere then of course any sane brilliant scientist will end up going to Canada or Singapore or Zurich because they'll be able to get the best of both worlds." "Once you're living in an academic community or in a software development office for an exciting company, usually in day-to-day interactions this doesn't come up," he added. "You're so focused on some particular mission. But that perception -- especially among someone who's maybe 16 or 17 in anywhere from Turkey to China to England -- is something I'm concerned about." On the new podcast, he also talks about the often-forgotten importance of electrical and computer engineers, who will develop the sensors that make machine learning advance; how educational programs have been complicit in the lack of diversity in tech; and why he's personally pessimistic that self-driving cars, one of Carnegie Mellon's areas of expertise, will be ready by the early 2020s, as some have predicted. You can listen to Recode Decode on Apple Podcasts, Spotify, Pocket Casts, Overcast or wherever you listen to podcasts. Below, we've shared a lightly edited transcript of Kara's full conversation with Andrew. Kara Swisher: Today, I'm delighted to have Andrew Moore on the podcast. He's the dean of Carnegie Mellon's School of Computer Science, which was ranked No. 1 in the world by U.S. News and World Report. And he was previously a vice president of engineering at Google where he was in charge of Google Shopping. Andrew Moore: Happy to be here, thank you. I wanna get your background. I've had various computer scientists on the show who are teaching and like that, and I'd love to get sort of the academic perspective, but you've been in the fray, also. So just let's give your background, where you came from and how you got to Carnegie Mellon and then we'll talk about what's going on there. I grew up in a seaside town called Bournemouth in South of England, and there, in the late '80s, I really got into creating video games, like a lot of kids at the time.
The Internet of Things is expected to grow quickly to tens of billions of connected devices, from smart refrigerators to smart showers to smart cruise ships. And pretty soon, it's going to extend to smart cars, Intel demonstrated at its recent autonomous cars event in San Jose, Calif. But Intel knows that we'll have to get data in and out of those cars at rates that are much faster than today's LTE mobile networks can handle. And that's why Rob Topol, general manager of Intel's 5G business and technology, believes that 5G wireless networking will be like the "oxygen" for self-driving cars. Intel is making 5G modem chips to transfer data at gigabits a second over wireless networks in the future, perhaps as early as 2020. Topol believes this wireless networking will enable self-driving cars to communicate with connected infrastructure. That infrastructure will help the cars process sensor, safety, and information for the car and return the results quickly to the cars.
If you are among the millions of Americans concerned about cybersecurity at the Democratic National Committee--and how could you not be?--then the home of the party's tech braintrust might not give you much hope. The tiny, charmless office, with "DNC Tech" scribbled in dry-erase marker on the door, contains one desk and two computer monitors. Nearby, an overturned couch pokes out from an elevator shaft, a leftover from the widespread departures that followed Hillary Clinton's defeat. And that, of course, came after intruders, believed to be tied to Russia, hacked into the DNC's computers. If the office itself seems lacking, the resume of its newish occupant is anything but.
What are the most interesting recent videos on YouTube about artificial intelligence (AI)? We save your time filtering mega-hours of videos uploaded each day to select the most relevant and popular ones, by view-count as of 1 May 2017. The description is as appeared at YouTube. This video shows that GeForce GTX G-Assist takes advantage of cutting-edge NVIDIA artificial intelligence to bring you the next revolution in gaming. This is a video for the first-ever entire songs composed by Artificial Intelligence: "Daddy's Car" and "Mister Shadow", created by scientists at SONY CSL Research Lab.