Wikipedia blames malicious DDOS attack after site goes down across Europe, Middle East – gpgmail


Wikipedia was forced offline in several countries Friday after a cyber attack hit the global encyclopedia.

Users across Europe and parts of the Middle East experienced outages shortly before 7pm, BST, according to downdetector.com.

Wikimedia’s German Twitter account posted: “The Wikimedia server…is currently being paralysed by a massive and very broad DDOS [distributed denial of service] attack.”

The site issued the following statement:

Today, Wikipedia was hit with a malicious attack that has taken it offline in several countries for intermittent periods. The attack is ongoing and our Site Reliability Engineering team is working hard to stop it and restore access to the site.

As one of the world’s most popular sites, Wikipedia sometimes attracts “bad faith” actors. Along with the rest of the web, we operate in an increasingly sophisticated and complex environment where threats are continuously evolving. Because of this, the Wikimedia communities and Wikimedia Foundation have created dedicated systems and staff to regularly monitor and address risks. If a problem occurs, we learn, we improve, and we prepare to be better for next time.

We condemn these sorts of attacks. They’re not just about taking Wikipedia offline. Takedown attacks threaten everyone’s fundamental rights to freely access and share information. We in the Wikimedia movement and Foundation are committed to protecting these rights for everyone.

Right now, we’re continuing to work to restore access wherever you might be reading Wikipedia in the world. We’ll keep you posted.”

The site was reported to be down in large parts of the UK as well as Poland, France, Germany and Italy.


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Zhiyun’s Smooth-Q2 aims to be the most portable quality smartphone gimbal available – gpgmail


Zhiyun has been steadily rolling out new gimbals for smartphones and dedicated cameras for a few years now, and the company’s quality and feature set has improved dramatically over time. Now, it’s launching the Zhiyun Smooth-Q2 smartphone gimbal on Kickstarter, with the aim of delivering a “truly pocket-size” gimbal that has all the bells and whistles you could ever want or need.

The Smooth-Q2 is indeed a portable powerhouse – the company sent me a pre-production unit to test, and though it’s not the final shipping hardware, it already works and feels like a polished, quality device. The first thing you’ll notice right away about the Smooth-Q2 is its size – it can indeed slip inside a coat or pant pocket, though you’ll need a fairly deep one to make that work. Even if you don’t necessarily have a compatible pocket, it’s hard to beat the Smooth-Q2 for sheer portability, and that’s bound to save you some packing space when you’re getting ready for your next trip.

There’s another recently released small-size smartphone gimbal on the market – the DJI Osmo Mobile 3. That has a clever method of folding down for easier packing, but the Smooth-Q2’s design, while similar in overall footprint, means it’s much easier to put in your actual pocket (or pack in a bag’s side pocket) than is the DJI version. And while both are incredibly easy to balance even if you’re a gimbal novice, I found the Zhiyun was actually the simpler of the two.

The Zhiyun Smooth-Q2 also feels more solidly constructed, though its simpler controls (it doesn’t have a trigger around or a zoom lever) may leave some creators wanting. There are some other advantages here, too, however – a quick release spring-loaded clip means you can detach your smartphone quickly for other uses without unbalancing the gimbal, and go right back to shooting when you’re done. Plus, you can connect via Bluetooth and control your smartphone’s native camera app directly, instead of relying on their ZP Play app – which you can still use for features like object tracking.

The Smooth-Q2 offers 16-hours of battery life, so you should easily make it through a day without requiring power, and it can do time lapses, with or without programmed motion, a vortex mode for capturing crazy rotational footage, and an aluminum body that should be able to withstand less-than careful stowage in your bag.

In terms of quality, the Smooth-Q2 really delivers in early testing with my iPhone XS Max, and I’ve included two quick sample clips so you can see for yourself. These are shot in the gimbal’s basic PF mode, in which the camera pans as you turn the gimbal side to side.

Zhiyun’s crowdfunding these but the company’s history and reputation mean that you can count on them to deliver. The entry-level price is set at $109 U.S. for backers, which is a $30 discount off the planned retail cost, and they should ship to backers in October according to the company.

Smooth Q2 2


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Artificial intelligence can contribute to a safer world – gpgmail


We all see the headlines nearly every day. A drone disrupting the airspace in one of the world’s busiest airports, putting aircraft at risk (and inconveniencing hundreds of thousands of passengers) or attacks on critical infrastructure. Or a shooting in a place of worship, a school, a courthouse. Whether primitive (gunpowder) or cutting-edge (unmanned aerial vehicles) in the wrong hands, technology can empower bad actors and put our society at risk, creating a sense of helplessness and frustration.

Current approaches to protecting our public venues are not up to the task, and, frankly appear to meet Einstein’s definition of insanity: “doing the same thing over and over and expecting a different result.” It is time to look past traditional defense technologies and see if newer approaches can tilt the pendulum back in the defender’s favor. Artificial Intelligence (AI) can play a critical role here, helping to identify, classify and promulgate counteractions on potential threats faster than any security personnel.

Using technology to prevent violence, specifically by searching for concealed weapons has a long history. Alexander Graham Bell invented the first metal detector in 1881 in an unsuccessful attempt to locate the fatal slug as President James Garfield lay dying of an assassin’s bullet. The first commercial metal detectors were developed in the 1960s. Most of us are familiar with their use in airports, courthouses and other public venues to screen for guns, knives and bombs.

However, metal detectors are slow and full of false positives – they cannot distinguish between a Smith & Wesson and an iPhone. It is not enough to simply identify a piece of metal; it is critical to determine whether it is a threat. Thus, the physical security industry has developed newer approaches, including full-body scanners – which are now deployed on a limited basis. While effective to a point, the systems in use today all have significant drawbacks. One is speed. Full body scanners, for example, can process only about 250 people per hour, not much faster than a metal detector. While that might be okay for low volume courthouses, it’s a significant problem for larger venues like a sporting arena.

Image via Getty Images

Fortunately, new AI technologies are enabling major advances in physical security capabilities. These new systems not only deploy advanced sensors to screen for guns, knives and bombs, they get smarter with each screen, creating an increasingly large database of known and emerging threats while segmenting off alarms for common, non-threatening objects (keys, change, iPads, etc.)

As part of a new industrial revolution in physical security, engineers have developed a welcomed approach to expediting security screenings for threats through machine learning algorithms, facial recognition, and advanced millimeter wave and other RF sensors to non-intrusively screen people as they walk through scanning devices. It’s like walking through sensors at the door at Nordstrom, the opposite of the prison-like experience of metal detectors with which we are all too familiar. These systems produce an analysis of what someone may be carrying in about a hundredth of a second, far faster than full body scanners. What’s more, people do not need to empty their pockets during the process, further adding speed. Even so, these solutions can screen for firearms, explosives, suicide vests or belts at a rate of about 900 people per hour through one lane.

Using AI, advanced screening systems enable people to walk through quickly and provide an automated decision but without creating a bottleneck. This volume greatly improves traffic flow while also improving the accuracy of detection and makes this technology suitable for additional facilities such as stadiums and other public venues such as Lincoln Center in New York City and the Oakland airport.

Apollo Shield’s anti-drone system.

So much for the land, what about the air?   Increasingly drones are being used as weapons. Famously, this was seen in a drone attack last year against Venezuelan president Nicolas Maduro. An airport drone incident drew widespread attention when a drone shut down Gatwick Airport in late 2018 inconveniency stranded tens of thousands of people.

People are rightly concerned about how easy it is to get a gun. Drones are also easy to acquire and operate, and quite difficult to monitor and to defend against. AI is now being deployed to prevent drone attacks, whether at airports, stadiums, or critical infrastructure. For example, new AI-powered radar technology is being used to detect, classify, monitor and safely capture drones identified as dangerous.

Additionally, these systems use can rapidly develop a map of the airspace and effectively create a security “dome” around specific venues or areas. These systems have an integration component to coordinate with on-the-ground security teams and first responders. Some even have a capture drone to incarcerate a suspicious drone. When a threatening drone is detected and classified by the system as dangerous, the capture drone is dispatched and nets the invading drone. The hunter then tows the targeted drone to a safe zone for the threat to be evaluated and if needed, destroyed.

While there is much dialogue about the potential risk of AI affecting our society, there is also a positive side to these technologies. Coupled with our best physical security approaches, AI can help prevent violent incidents.


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Reports say White House has drafted an order putting the FCC in charge of monitoring social media – gpgmail


In the executive order, the White House says it received more than 15,000 complaints about censorship by the technology platforms. The order also includes an offer to share the complaints with the Federal Trade Commission.

As part of the order, the Federal Trade Commission would be required to open a public complaint docket and coordinate with the Federal Communications Commission on investigations of how technology companies curate their platforms — and whether that curation is politically agnostic.

Under the proposed rule, any company whose monthly user base includes more than one-eighth of the U.S. population would be subject to oversight by the regulatory agencies. A roster of companies subject to the new scrutiny would include Facebook, Google, Instagram, Twitter, Snap and Pinterest .

At issue is how broadly or narrowly companies are protected under the Communications Decency Act, which was part of the Telecommunications Act of 1996. Social media companies use the Act to shield against liability for the posts, videos or articles that are uploaded from individual users or third parties.

The Trump administration aren’t the only politicians in Washington are focused on the laws that shield social media platforms from legal liability. House Speaker Nancy Pelosi took technology companies to task earlier this year in an interview with Recode.

The criticisms may come from different sides of the political spectrum, but their focus on the ways in which tech companies could use Section 230 of the Act is the same.

The White House’s executive order would ask the FCC to disqualify social media companies from immunity if they remove or limit the dissemination of posts without first notifying the user or third party that posted the material, or if the decision from the companies is deemed anti-competitive or unfair.

The FTC and FCC had not responded to a request for comment at the time of publication.


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