IN JULY 2015, two founders of DeepMind, a division of Alphabet with a reputation for pushing the boundaries of artificial intelligence, were among the first to sign an open letter urging the world’s governments to ban work on lethal AI weapons. Notable signatories included Stephen Hawking, Elon Musk, and Jack Dorsey. Last week, a technique popularized by DeepMind was adapted to control an autonomous F-16 fighter plane in a Pentagon-funded contest to show off the capabilities of AI systems. In the final stage of the event, a similar algorithm went head-to-head with a real F-16 pilot using a VR headset and simulator controls. The AI pilot won, 5-0.
School districts across the US reported that Canvas, Instructure’s remote-learning app, was taken offline by outages Monday morning.
People first started reporting problems with the app shortly after 8 a.m., according to Down Detector.
An Instructure spokesperson said that its apps are seeing higher usage than normal as schools reopen. It’s the first day of class for thousands of schools across the US, many of which rely on tools like Canvas for remote learning.
Zoom, another tool used by schools, was also down Monday morning.
Moore’s Law, the observation that the number of transistors on a computer chip doubles every 24 months, has taken a beating as progress miniaturizing circuitry falters. But chip giant Intel has plotted a course to keep the idea alive with a plan to pack 50 times as many transistors onto processors than is possible today.
WHEN LAW ENFORCEMENT arrested three alleged young hackers in the US and the UK last month, the story of the worst-known hack of Twitter’s systems seemed to have drawn to a tidy close. But in fact, the technique that allowed hackers to take control of the accounts of Joe Biden, Jeff Bezos, Elon Musk, and dozens of others is still in use against a broad array of victims, in a series of attacks that began well before Twitter’s blowup, and in recent weeks has escalated into a full-blown crime wave.
Fifteen years ago this week, Google Maps launched on the web. It wouldn’t be an understatement to say that Google Maps transformed both the way we think about maps and the way we move around in the world. Over time, the application has evolved from a fairly static online representation of an atlas to a GPS-powered navigation tool to a platform for reviews—and, of course, for ads.
“Fake” artists are impersonators who steal music from real, hard-working artists and upload the tracks on streaming platforms like Spotify and Apple Music under false names through unsuspecting distributors. This is nothing new, as these impersonators have been making millions of dollars in royalties, stolen from their rightful owners.
In the 1990s, web browsers like Netscape Navigator and Microsoft Internet Explorer competed bitterly to offer the snazziest new features and attract users. Today, the browser landscape looks totally different. For one thing, Chrome now dominates, controlling around two-thirds of the market on both desktop and mobile. Even more radical, though, is the recent competitive focus on privacy, a welcome change for anyone who’s gotten sick of creepy ad tracking and data mismanagement. But as browsers increasingly diverge in their approaches, it’s clear that not all privacy protections are created equal.
Seven years ago, MIT debuted a landmark project, which allowed everyday people to photograph and rate their streets like a Hot or Not for cities. It was a powerful showcase of how crowdsourcing opinions from citizens could help quantify a city’s appeal and, in theory, help urban designers plan better cities.
Less than a decade later, artificial intelligence is taking this idea so much further. FaceLift is a new AI system developed by Nokia Bell Labs Cambridge that allows scientists and urban planners to use a crowd’s aggregated sensibility to actually redesign the look of city streets. FaceLift AI can take any Google Street View scene and beautify it instantly—but at what cost?
Coding-based apprenticeships may be a recent development, but Terenzio predicts that in 20 years, more and more companies will adopt similar models. “I can see it in every industry: healthcare, medical billing, other kinds of jobs,” Terenzio says. Many workplace and higher education experts agree. We talked to six professionals whose work involves predicting the nature of education and upskilling in 2040 and what the workforce is likely to demand from employees. They all shared the consensus that change is the only certainty. Workers, employers, and education providers alike need to be agile, flexible, and prepared to adapt as technology continues to disrupt industries and change what jobs will and will not be available.
A new subscription service called Scroll is offering ad-free access to hundreds of websites — not by blocking the ads, but by working with an expanding group of publishers to take the ads down in exchange for a slice of the subscription fee. Scroll launches today with support for a number of major websites and networks, including The Atlantic, BuzzFeed News, G/O Media (which includes websites like Gizmodo and Kotaku), and Vox Media, which — important disclosure here — includes The Verge
Experts in the explosively growing field of political digital technologies have developed an innovative terminology to describe what they do — a lexicon that is virtually incomprehensible to ordinary voters. This language provides an inkling of the extraordinarily arcane universe politics has entered:
Geofencing and other emerging digital technologies derive from microtargeting marketing initiatives that use consumer and other demographic data to identify the interests of specific voters or very small groups of like-minded individuals to influence their thoughts or actions. Microtargeting first had a significant impact on American politics in state level campaign work by Alec Gage, a Republican, and his firm TargetPoint in 2002.
The demo house Amazon built inside one of the towers at its Seattle headquarters to show off its Echo smart speakers has a new room, and an important one: a garage. Inside the garage is a concept electric car—or, more specifically, the immobile insides of such a vehicle—that Amazon uses to show automakers the full spectrum of things its Alexa Auto software platform can do. That includes in-car versions of typical Alexa tasks such as audio streaming, messaging, voice calls, and reminders. And because it’s a car, Alexa can also do things like roll the windows up and down and control the cabin temperature, all at the verbal request of the driver. Amazon has been working hard on Alexa Auto for the past two years. Now it hopes to convince automakers to embed the platform into their new cars.
If there was any doubt before, Q3 2019 has made clear that Snap is betting heavily on Augmented Reality (AR). Earlier this month, Snap announced a $1B fundraise to invest in AR startups. A week later, the Snapchat parent company unveiled the third-generation of Spectacles, its AR sunglasses, which are now available for pre-order. Snap is continuing its emphasis on the AR ecosystem in an announcement today: a major update to Lens Studio, the company’s desktop app for producing augmented reality “Lenses” on the Snapchat messaging platform. The update includes 14 new Landmarker locations, six new templates, and an updated UX that highlights new offerings and provides step-by-step tutorialization for beginners.
Lambda School is an online coding program that’s free until you finish and get a job. The central conceit is an income-share agreement (ISA): students pay nothing while attending the school and then pay a portion of their earnings once they’re employed. The concept, first proposed by economist Milton Friedman in the 1950s as a “human capital contract,” has been heralded by some as a market-based solution to student debt. Everyone is on the same page about the goal: finding a good-paying job.
In building educational resources for teachers and students, we’ve [Google] spent a lot of time talking to them about challenges they face and how we can help. We’ve heard that students often get “stuck” while studying. When they have questions in the classroom, a teacher can quickly clarify—but it’s frustrating for students who spend hours trying to find answers while studying on their own. Socratic, a mobile learning app we acquired last year, now uses AI technology to help high school and university students when they’re doing school work outside the classroom. It guides them through the resources that are available, and identifies the core underlying concepts that will lead them to answers to their questions.
A.I., most people in the tech industry would tell you, is the future of their industry, and it is improving fast thanks to something called machine learning. But tech executives rarely discuss the labor-intensive process that goes into its creation. A.I. is learning from humans. Lots and lots of humans.