Connect with us

Gadgets

FCC approval of Europe’s Galileo satellite signals may give your phone’s GPS a boost – TechCrunch

Published

on

The FCC’s space-focused meeting today had actions taken on SpaceX satellites and orbital debris reduction, but the decision most likely to affect users has to do with Galileo. No, not the astronomer — the global positioning satellite constellation put in place by the E.U. over the last few years. It’s now legal for U.S. phones to use, and a simple software update could soon give your GPS signal a major bump.

Galileo is one of several successors to the Global Positioning System that’s been in use since the ’90s. But because it is U.S.-managed and was for a long time artificially limited in accuracy to everyone but U.S. military, it should come as no surprise that European, Russian and Chinese authorities would want their own solutions. Russia’s GLONASS is operational and China is hard at work getting its BeiDou system online.

The E.U.’s answer to GPS was Galileo, and the 26 (out of 30 planned) satellites making up the constellation offer improved accuracy and other services, such as altitude positioning. Test satellites went up as early as 2005, but it wasn’t until 2016 that it began actually offering location services.

A Galileo satellite launch earlier this year.

Devices already existed that would take advantage of Galileo signals — all the way back to the iPhone 6s, the Samsung Galaxy S7 and many others from that era forward. It just depends on the wireless chip inside the phone or navigation unit, and it’s pretty much standard now. (There’s a partial list of smartphones supporting Galileo here.)

When a company sells a new phone, it’s much easier to just make a couple million of the same thing rather than make tiny changes like using a wireless chipset in U.S. models that doesn’t support Galileo. The trade-off in savings versus complexity of manufacturing and distribution just isn’t worthwhile.

The thing is, American phones couldn’t use Galileo because the FCC has regulations against having ground stations being in contact with foreign satellites. Which is exactly what using Galileo positioning is, though of course it’s nothing sinister.

If you’re in the U.S., then, your phone likely has the capability to use Galileo but it has been disabled in software. The FCC decision today lets device makers change that, and the result could be much-improved location services. (One band not very compatible with existing U.S. navigation services has been held back, but two of the three are now available.)

Interestingly enough, however, your phone may already be using Galileo without your or the FCC’s knowledge. Because the capability is behind a software lock, it’s possible that a user could install an app or service bringing it into use. Perhaps you travel to Europe a lot and use a French app store and navigation app designed to work with Galileo and it unlocked the bands. There’d be nothing wrong with that.

Or perhaps you installed a custom ROM that included the ability to check the Galileo signal. That’s technically illegal, but the thing is there’s basically no way for anyone to tell! The way these systems work, all you’d be doing is receiving a signal illegally that your phone already supports and that’s already hitting its antennas every second — so who’s going to report you?

It’s unlikely that phone makers have secretly enabled the Galileo frequencies on U.S. models, but as Commissioner Jessica Rosenworcel pointed out in a statement accompanying the FCC action, that doesn’t mean it isn’t happening:

If you read the record in this proceeding and others like it, it becomes clear that many devices in the United States are already operating with foreign signals. But nowhere in our record is there a good picture of how many devices in this country are interacting with these foreign satellite systems, what it means for compliance with our rules, and what it means for the security of our systems. We should change that. Technology has gotten ahead of our approval policies and it’s time for a true-up.

She isn’t suggesting a crackdown — this is about regulation lagging behind consumer tech. Still, it is a little worrying that the FCC basically has no idea, and no way to find out, how many devices are illicitly tuning in to Galileo signals.

Expect an update to roll out to your phone sometime soon — Galileo signals will be of serious benefit to any location-based app, and to public services like 911, which are now officially allowed to use the more accurate service to determine location.

Source link

Continue Reading
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

Gadgets

Apple and Google’s AI wizardry promises privacy—at a cost

Published

on

Getty Images

Since the dawn of the iPhone, many of the smarts in smartphones have come from elsewhere: the corporate computers known as the cloud. Mobile apps sent user data cloudward for useful tasks like transcribing speech or suggesting message replies. Now Apple and Google say smartphones are smart enough to do some crucial and sensitive machine learning tasks like those on their own.

At Apple’s WWDC event this month, the company said its virtual assistant Siri will transcribe speech without tapping the cloud in some languages on recent and future iPhones and iPads. During its own I/O developer event last month, Google said the latest version of its Android operating system has a feature dedicated to secure, on-device processing of sensitive data, called the Private Compute Core. Its initial uses include powering the version of the company’s Smart Reply feature built into its mobile keyboard that can suggest responses to incoming messages.

Apple and Google both say on-device machine learning offers more privacy and snappier apps. Not transmitting personal data cuts the risk of exposure and saves time spent waiting for data to traverse the internet. At the same time, keeping data on devices aligns with the tech giants’ long-term interest in keeping consumers bound into their ecosystems. People that hear their data can be processed more privately might become more willing to agree to share more data.

The companies’ recent promotion of on-device machine learning comes after years of work on technology to constrain the data their clouds can “see.”

In 2014, Google started gathering some data on Chrome browser usage through a technique called differential privacy, which adds noise to harvested data in ways that restrict what those samples reveal about individuals. Apple has used the technique on data gathered from phones to inform emoji and typing predictions and for web browsing data.

More recently, both companies have adopted a technology called federated learning. It allows a cloud-based machine learning system to be updated without scooping in raw data; instead, individual devices process data locally and share only digested updates. As with differential privacy, the companies have discussed using federated learning only in limited cases. Google has used the technique to keep its mobile typing predictions up to date with language trends; Apple has published research on using it to update speech recognition models.

Rachel Cummings, an assistant professor at Columbia who has previously consulted on privacy for Apple, says the rapid shift to do some machine learning on phones has been striking. “It’s incredibly rare to see something going from the first conception to being deployed at scale in so few years,” she says.

That progress has required not just advances in computer science but for companies to take on the practical challenges of processing data on devices owned by consumers. Google has said that its federated learning system only taps users’ devices when they are plugged in, idle, and on a free internet connection. The technique was enabled in part by improvements in the power of mobile processors.

Beefier mobile hardware also contributed to Google’s 2019 announcement that voice recognition for its virtual assistant on Pixel devices would be wholly on-device, free from the crutch of the cloud. Apple’s new on-device voice recognition for Siri, announced at WWDC this month, will use the “neural engine” the company added to its mobile processorsto power up machine learning algorithms.

The technical feats are impressive. It’s debatable how much they will meaningfully change users’ relationship with tech giants.

Presenters at Apple’s WWDC said Siri’s new design was a “major update to privacy” that addressed the risk associated with accidentally transmitting audio to the cloud, saying that was users’ largest privacy concern about voice assistants. Some Siri commands—such as setting timers—can be recognized wholly locally, making for a speedy response. Yet in many cases transcribed commands to Siri—presumably including from accidental recordings—will be sent to Apple servers for software to decode and respond. Siri voice transcription will still be cloud-based for HomePod smart speakers commonly installed in bedrooms and kitchens, where accidental recording can be more concerning.

Google also promotes on-device data processing as a privacy win and has signaled it will expand the practice. The company expects partners such as Samsung that use its Android operating system to adopt the new Privacy Compute Core and use it for features that rely on sensitive data.

Google has also made local analysis of browsing data a feature of its proposal for reinventing online ad targeting, dubbed FLoC and claimed to be more private. Academics and some rival tech companies have said the design is likely to help Google consolidate its dominance of online ads by making targeting more difficult for other companies.

Michael Veale, a lecturer in digital rights at University College London, says on-device data processing can be a good thing but adds that the way tech companies promote it shows they are primarily motivated by a desire to keep people tied into lucrative digital ecosystems.

“Privacy gets confused with keeping data confidential, but it’s also about limiting power,” says Veale. “If you’re a big tech company and manage to reframe privacy as only confidentiality of data, that allows you to continue business as normal and gives you license to operate.”

A Google spokesperson said the company “builds for privacy everywhere computing happens” and that data sent to the Private Compute Core for processing “needs to be tied to user value.” Apple did not respond to a request for comment.

Cummings of Columbia says new privacy techniques and the way companies market them add complexity to the trade-offs of digital life. Over recent years, as machine learning has become more widely deployed, tech companies have steadily expanded the range of data they collect and analyze. There is evidence some consumers misunderstand the privacy protections trumpeted by tech giants.

A forthcoming survey study from Cummings and collaborators at Boston University and the Max Planck Institute showed descriptions of differential privacy drawn from tech companies, media, and academics to 675 Americans. Hearing about the technique made people about twice as likely to report they would be willing to share data. But there was evidence that descriptions of differential privacy’s benefits also encouraged unrealistic expectations. One-fifth of respondents expected their data to be protected against law enforcement searches, something differential privacy does not do. Apple’s and Google’s latest proclamations about on-device data processing may bring new opportunities for misunderstandings.

This story originally appeared on wired.com.

Continue Reading

Gadgets

Amazon joins Apple, Google by reducing its app store cut

Published

on

Enlarge / The Amazon Fire HD 8 tablet, which runs Amazon’s Fire OS.

Apparently following the lead of Apple and Google, Amazon has announced that it will take a smaller revenue cut from apps developed by teams earning less than $1 million annually from their apps on the Amazon Appstore. The same applies to developers who are brand-new to the marketplace.

The new program from Amazon, called the Amazon Appstore Small Business Accelerator Program, launches in Q4 of this year, and it will reduce the cut Amazon takes from app revenue, which was previously 30 percent. (Developers making over $1 million annually will continue to pay the original rate.) For some, it’s a slightly worse deal than Apple’s or Google’s, and for others, it’s better.

Amazon’s new indie-friendly rate is 20 percent, in contrast to Apple’s and Google’s 15 percent. Amazon seeks to offset this difference by granting developers 10 percent of their Appstore revenue in the form of a credit for AWS. For certain developers who use AWS, it could mean that Amazon’s effective cut is actually 10 percent, not 15 or 20 percent.

But for some, it amounts to something more like giving the developer a coupon on a purchase of services from Amazon than actually putting more cash in their pockets. It leaves small developers who aren’t spending a bunch of money on Amazon’s services with a worse deal than they’d get on Apple’s or Google’s marketplaces.

As with Apple’s program—but not Google’s—the lower rate applies to developers only if they made $1 million or less in total (in this case, the numbers assessed are those from the previous year). Crossing that threshold will lead developers to pay the older, higher rate on all of their earnings. In contrast, Google always takes a smaller cut of the first million in a given year and then applies the bigger cut to revenues after $1 million without changing the amount it took from the first million.

The Amazon Appstore primarily exists as the app store for Amazon’s Android-based Fire OS software that runs on tablets. It’s also offered as an alternative App Store for users of other Android-based operating systems.

All three companies are facing various forms of regulatory scrutiny, and that scrutiny was likely a factor in Apple’s decision to cut the fees it applies to apps released by small developers on the Apple App Store. Google followed shortly afterward for its Google Play marketplace.

Continue Reading

Gadgets

Microsoft’s Linux repositories were down for 18+ hours

Published

on

Enlarge / In 2017, Tux was sad that he had a Microsoft logo on his chest. In 2021, he’s mostly sad that Microsoft’s repositories were down for most of a day.

Jim Salter

Yesterday, packages.microsoft.com—the repository from which Microsoft serves software installers for Linux distributions including CentOS, Debian, Fedora, OpenSUSE, and more—went down hard, and it stayed down for around 18 hours. The outage impacted users trying to install .NET Core, Microsoft Teams, Microsoft SQL Server for Linux (yes, that’s a thing) and more—as well as Azure’s own devops pipelines.

We first became aware of the problem Wednesday evening when we saw 404 errors in the output of apt update on an Ubuntu workstation with Microsoft Teams installed. The outage is somewhat better documented at this .NET Core-issue report on Github, with many users from all around the world sharing their experiences and theories.

The short version is, the entire repository cluster which serves all Linux packages for Microsoft was completely down—issuing a range of HTTP 404 (content not found) and 500 (Internal Server Error) messages for any URL—for roughly 18 hours. Microsoft engineer Rahul Bhandari confirmed the outage roughly five hours after it was initially reported, with a cryptic comment about the infrastructure team “running into some space issues.”

Eighteen hours after the issue was reported, Bhandari reported that the mirrors were once again available—although with temporarily degraded performance, likely due to cold caches. In this update, Bhandari said that the original cause of the outage was “a regression in [apt repositories] during some feature migration work that resulted in those packages becoming unavailable on the mirrors.”

We’re still waiting for a comprehensive incident report, since Bhandari’s status updates provide clues but no real explanations. The good news is, we can confirm that packages.microsoft.com is indeed up once again, and it is serving packages as it should.

Continue Reading

Trending