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What is Grammarly

Grammarly is a tool that helps people communicate more effectively. Every day, millions of users rely on grammarly to make their messages, documents, and social media posts clear, error-free, and influential. Grammarly is an Inc. 500 company with offices in San Francisco, New York, Kiev, and Vancouver.

As you type, the grammar checks your text for hundreds of common and advanced writing questions. In addition to contextual misspellings, phonetic spelling errors, and irregular verb conjugations, the check also includes common grammatical errors such as subject-verb agreement, article usage, and modifier placement. The grammar also provides synonyms suggestions to make your article more readable and accurate. With grammar, you can safely write online.

What is the Grammarly premium?

Grammarly Premium is a paid upgrade that provides more than 400 types of checks and features, grammatical error checking, vocabulary enhancement suggestions, plathe detection, and citation suggestions.

This is a side-by-side comparison of a free account and a premium account:

Does Grammarly provide Free Trial?

Grammarly Individual Subscription

We do not currently offer free trials for individual users. However, we do offer a free version of the product that includes basic syntax features. We believe this is a more effective way to familiarize users with the syntax than a free trial.

If you upgrade to the advanced version of Grammarly, we will provide you with a full service.

Grammarly Business

Companies large and small use Grammarly to do their best. If you are interested in having three or more teams learn grammar, check out our business service Grammarly Business“.

Grammarly Educational Institution

We are pleased to inform you that we have a solution called Grammarly @edu, which is tailored for universities and schools. If you work in an educational institution, you can sign up for a free trial account at Grammarly @ edu. If you have any questions, please contact our sales team directly at sales@grammarly.com, or visit the Planning & Pricing page.

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Match.com, owner of Tinder, pinned for cheating on its American users

In the United States, the FTC has taken legal action against the Match.com app. Reason: Used the wrong profile to trick its subscribers.

Tinder, Meetic and OkCupid’s parent companies have just been sued by US trade regulators on Wednesday, September 25. The Federal Trade Commission (FTC) has accused the Match team of “putting users at risk of fraud”. On these dating apps, the company allegedly used fake profiles to increase the number of subscribers and deceive its users.

“Someone likes your profile”

According to the official press release, from June 2016 to May 2018, users purchased 499,691 subscriptions within 24 hours of receiving a message such as “Someone likes your profile” or “You like someone” . However, these messages will be automatically generated by the fake configuration file. More seriously: the company already knew.

“We think Match.com enticed users to pay subscribers via email because the company knew they were from fraud experts,” said Andrew Smith, the manager of the office. FTC Consumer Protection. He added: “Dating services should not use romantic scammers to improve their performance.”

In addition, regulators also point out that Match users are unaware that 25% to 30% of registrants “have committed scams, including romantic scams, phishing scams, fraudulent advertising and extortion.” .

The U.S. Federal Trade Commission (FTC) also accuses Match of defrauding consumers by assuring consumers that “no special person can be found after six months” for a free six-month extension. The complaint states that the terms of the sale were not clear enough and many users were required to pay for six months of new subscriptions.

For the same opacity, the FTC also believes that the company intentionally made it difficult for users to cancel subscriptions.

“No basis at all”

For Match, these are “completely unfounded” allegations. The organization said in a statement: “The FTC misunderstood internal emails and relied on selected data to make outrageous statements. We intend to defend ourselves vigorously.”

The company said: “Fraud is bad for business.” “That’s why we are fighting it. We will intercept and eliminate 85% of potentially problematic accounts within the first four hours, usually before there is no activity on the site, One day later, 96% of the problematic accounts were blocked and eliminated. ”

To resolve the dispute, Match said it was willing to pay $ 60 million, but did not reach an agreement with the FTC. Since the FTC’s announcement, Match Group’s share price has fallen 3% and its parent company Interactivecorp has fallen 4%.

Source Reuters

Deepfake begins to be endorsed by U.S. repeated hate porn laws

Now, the first U.S. state has considered a virtual composite image called Deepfakes in its law to prevent pornographic retaliation.

In Virginia, posting private photos or videos of former partners can save you up to 12 months in prison and a $ 2500 fine. Now, if you’re doing nasty Photoshop montages or worse, a video called Deepfake will expose the victim’s face to the body-maybe even fooling around-which will be the same trouble. In fact, the eastern United States, which borders the capital Washington, has actually modified its pornographic revenge law (pornographic content in French), regardless of whether the content is “false video or (false) still images.”

By using powerful image analysis and reconstruction tools, deepfake can paste the face of an ex-girlfriend on a porn actress with full performance (women are usually the target of this prank), instead of creating a virtual Barack Obama (Barak Obama) recites a fascist speech. After Texas attacked the manipulation of the election’s underlying content, the legislature is now protecting the private sector.

As content becomes more realistic and tools become more popular and their performance accelerates, the first step should quickly expand.

Fake deepfake video by Mark Zuckerberg posted on Instagram embarrasses social network

Can Instagram try to delete a very credible fake Zuckerberg video that told me? Social networks make sure not.

“Imagine: One person has complete control over the data stolen by billions of people, all their secrets, their lives, their future. I owe it all to Spectre. The ghost told me that whoever controls the data can control the future. ”

This statement by Mark Zuckerberg was posted in an Instagram video. If it is true, it may be cold later, but this is only the result of clever use of artificial intelligence.

Art work

In fact, it’s artists Bill Posters and Daniel Howe, co-authored with advertising agency Canny. For example, the latest research by researchers at Princeton University and Stanford University in the United States shows that it uses “deepfake” technology, which can develop at high speed. The video hijacked a 2017 interview about Russia’s possible interference in the US presidential election.

The poster, Howe and Canny didn’t try it, as they had posted Deepfake videos of Donald Trump and Kim Kardashian.

What does Instagram do?

But in the case of Mark Zuckerberg’s video, the problem is twofold. The video not only led him to make false statements (unfortunately, ridiculous and unnoticed), but also posted on Instagram. The social network belongs to Facebook and is therefore also managed by Zuckerberg.

For Instagram, the temptation to delete videos without any warning can be great. However, an Instagram spokesperson told the motherboard: “We will treat this content the same way we treat all misinformation on Instagram.” If a third-party information verifier indicates that it is false, it will be in the Explorer recommendations section and Filter it in the related Tags page. ”

Instagram has learned that it would be unfair to apply Ace to content that has a close impact on its business compared to other false information circulating on its network. In terms of brand image, this will be disastrous.

 

They trick companies by simulating CEO voices with AI

Scammers mimic the CEO’s voice with deep-fake. Almost perfect scam.

A British energy company has been the victim of an unprecedented and complex variant of the “Presidential Scam.” Keep in mind that this scam involves impersonating the head of the company and prompting an emergency transfer to a mob-controlled bank account. In this case, the scammer relied on artificial intelligence systems to perform a nearly perfect simulation of the voice of the German parent company’s CEO, which was disclosed by the Wall Street Journal and relayed by Gizmodo. In the field of artificial intelligence, this simulation is also called “deep forgery”.

The victim was questioned by the insurance company Euler Hermes, who explained that the artificial voice mimicked not only his boss’s German accent, but his voice. Needless to say, the poor man nodded immediately and ordered the transfer of 220,000 euros to a bank account in Hungary within an hour. The giants were then transferred to Mexico and then to other unknown destinations. Euler Hermes said this was the first time he had encountered an artificial intelligence-based scam. May not be the last.

Researchers rally to twist Deepfakes

Facebook has just officially launched its “Deepfake Detection Challenge” to advance research in the field … and eliminate this new plague in its social networks. The hunting season is open.

Not all technological advances are good, and the audio-visual forgery technology “Deepfake” based on neural networks is particularly toxic. It can change the heroines of pornographic movies, modify the speech of politicians or celebrities, and even create scams. Welcome to the world of lies and camouflage.

No wonder Facebook has already faced a wave of trolls and intoxication, and is very interested in blocking such content. The social network took advantage of the NeurIPS conference in Vancouver from December 8th to 15th to officially launch its Deepfake Detection Challenge.

$ 10 million reward
The idea is to give AI researchers the body of more than 100,000 “Deepfake” videos and encourage them to develop detection technologies. Google has created a similar corpus, but the scope is much narrower. In addition, Facebook went further, offering $ 10 million in scholarships and rewards to the best teams … as long as they released their code in open source.

* More than 150 teams have registered. They must submit the solution by March 2020 and will evaluate it with unpublished data sets. “This is a huge challenge for Facebook,” Antoine Bordes, co-director of Facebook AI Research, told a press conference in Paris. “We are already developing internal detection methods, but we cannot do it alone everything. That’s why we try to openly unite communities around this issue. ”

To create this dataset, Facebook hired actors and filmed them in various situations. The company then produced the deepfakes for these records using the best technology. In the example provided by Facebook above, can you determine which was the original video? (Tip: look closely at the eyes and their outlines *).

How does Deepfake work?

Deepfake was created based on two types of cascaded neural networks: “autoencoders” and “generative adversarial networks” (or GANs, generative adversarial networks). An autoencoder is an algorithm consisting of an “encoder” and a “decoder.” The first was able to reduce the image to a minimalist mathematical representation called a “latent image.” The second is able to reconstruct an image based on this representation. To replace Clara Morgane’s head with Scarlett Johansson’s, all you have to do is combine the first encoder with the second decoder. And voila.

How does Deepfake work

Autoencoders can also be of variable type. By simply changing features based on the probability curve, they can generate similar images instead of simply recreating well-known images.

The disadvantage of the encoding-decoding process is that information is always lost. In the case of change generation, blurred areas also appear. Therefore, the researchers came up with the idea of ​​combining an autoencoder with a GAN whose task is to deliver only images of sufficient quality.

In fact, the generated adversarial network consists of two competing neural networks. The first generates images, and the second must determine whether the images are true or false based on his training. The more complicated the discriminator’s analysis, the more “generated” the generated image will be. For Deepfake generators, the decoder of the autoencoder can simply be replaced by a GAN generator.

To detect Deepfake, researchers will once again rely on deep neural networks, which they will configure and train to be able to identify the truth from the errors. So interested in having a big data set like Facebook has to offer. Deepfake detection is an emerging field, although there are already a dozen different methods. Some researchers focus on blinking, others focus on temporal inconsistencies between images, and others focus on their texture and resolution.

Towards an endless race?

This study will obviously lead to the shallot race. As the detector improves, the quality of the generator will improve. Is it possible to win this search match? Facebook grew there. “Look what’s happening with spam. The filters are running and the problem has been resolved. In Deepfake, the situation will be the same. The more sophisticated the detection technology, the higher the cost of undetectable forgery. You have to lease the computing cluster It takes genius to make great Deepfake videos, but people will stop doing it. “Antoine Bordes said.

In other words, in the Deepfake competition, the winner will eventually be the one with the most computing power. It’s hard to beat Facebook in this regard.

5 Robots to learn Coding

Learning programming with robots is more fun. This is our choice of five models for different age groups.

Providing a robot for programming is very expensive. Count 100 euros first. And don’t think this is reserved for children. This year, new products have appeared in the entire family.

Ozobot: The easiest

This robot allows you to learn coding from the age of six or less, as it is not absolutely necessary to know how to read and use it. The starter pack includes a robot with accessories including code sheets, markers, sticker boards and activities. The child just needs to draw a color code or paste a sticker to send the information to the robot that will be placed above the sheets. Equipped with sensors that can recognize lines and colors. Then it will go forward, back, turn, slow down or accelerate. Simple and efficient.

Price: 80 Euro

Thymio 2: most educational

Thymio is already in use at the school and it was developed in collaboration with the Federal Institute of Technology of Lausanne and the Lausanne Academy of Arts. Equipped with a large number of sensors, actuators and LEDs, it can be programmed through Aseba Studio. It is open source and can also be used with Lego and controlled by Scratch software. Thymio already offers many educational activities online, such as calculations and geometry exercises.

Price 139 Euro

Blink: the cutest

He is the latest member on the list. After successfully completing the crowdfunding campaign on Ulule, he came to this Christmas with a label made in France and sponsorship from Ecole Polytechnique. Suitable for children from 5 to 12 years. Since it is provided separately, all sensors must be assembled and read first. Then use it from an application that allows you to write games using different modes depending on the complexity. So Winky can be turned into an alarm clock. Once the program is created, the child can interact directly with the robot without going through the application. Special attention was paid to the two ears with activation function, low noise and accessories for changing the appearance.

Price: 200 Euro

RoboMaster S1: suitable for older children

Don’t make any mistakes. This so-called “educational” robot can be used by adolescents, but is best assisted by older robots. It is also the ideal toy for adults. Because you must at least master the Scratch programming language now taught at French universities. More ambitious people can also write code in Python. The RoboMaster Lab programming interface is accessible from any screen. The robot looks like a tank, has four wheels and a turret, and can face other players. It is equipped with sensors, capable of drawing environmental maps, identifying and tracking individuals, moving in all directions and even projecting rubber balls into ammunition. Obviously, all of this comes at a price. The RoboMaster S1 actually costs 550 Euros, which does not include accessories sold as a kit, such as “Play More”, which costs 170 Euros, including the controller, battery and projectiles.

Price: 550 Euros

Sphero RVR: Suitable for most DIY enthusiasts

The latest member of the Sphero brand is aimed at students, scientists and anyone who wants to tinker. It is not distributed directly in France, but can be purchased in US dollars on the official website or Amazon.com. It has been a huge success on crowdfunding website Kickstarter. This very simple rover is controlled by the Sphero Edu app and can be programmed from iOS or Android. Its interest lies in its excellent modularity, as third-party components and accessories can be added by connecting a Rasperry Pi or Arduino to the upper platform of the machine.

Price 227 Euro