A convicted paedophile who was snared by a vigilante group is to have his case examined at the UK Supreme Court. Judges at the UK's highest court will consider whether prosecutions based on the covert operations of "paedophile hunters" breach the right to privacy. Mark Sutherland, 37, believed he was communicating with a 13-year-old boy on the dating app Grindr. But in reality it was a 48-year-old man who was part of a group called Groom Resisters Scotland. The Supreme Court will hold a virtual hearing to consider the case and will issue its judgement later.
The killing of George Floyd by police officers has spurred not only protests across the United States, but also -- often embarrassing -- responses from brands. The queer dating app Grindr offered its own statement on Twitter and Instagram on Monday, coinciding with the first day of Pride Month. They will take action including not only donating to both BLM and the Marsha P. Johnson Institute, but also by removing their ethnicity filters for their next app release: We will not be silent. "We will continue to fight racism on Grindr," the statement said, "both through dialogue with our community and zero-tolerance policy for racism and hate speech on our platform." A Grindr spokesperson told Mashable that racism has no place in their community.
Grindr is removing an "ethnicity filter" from its dating app as part of its support for the Black Lives Matter movement, the company announced on Monday. The controversial feature, limited to those who stump up £12.99 a month for the premium version of the app, allows users to sort search results based on reported ethnicity, height, weight and other characteristics. In a statement posted to Instagram, the company said "We stand in solidarity with the #BlackLivesMatter movement and the hundreds of thousands of queer people of color who log in to our app every day. "We will continue to fight racism on Grindr, both through dialogue with our community and a zero-tolerance policy for racism and hate speech on our platform. As part of this commitment, and based on your feedback, we have decided to remove the ethnicity filter from our next release.
Dating app Grindr has said it will remove its'ethnicity filter' that allows users to search potential matches by race. Singletons prepared to pay £12.99-a-month for the'premium' service are currently able to sort users based on their ethnicity, weight, height, and other characteristics. But less than 24 hours after its tweet supporting'Black Lives Matter' received widespread condemnation over the filter, the company has said it will delete it. Protests have rocked the US for six days following the death of George Floyd, who was filmed gasping'I can't breathe' as an officer knelt on his neck in Logan County, West Virginia. Writing on Twitter, the app said: 'As part of our commitment to (Black Lives Matter), we have decided to remove the ethnicity filter from our next release.
Dating app Grindr will finally remove its ethnicity filter, following years of criticism culminating in accusations of hypocrisy regarding the company's stance on #BlackLivesMatter. The app currently lets users filter potential matches based on age, height, weight and ethnicity, but the company -- which says it has a "zero-tolerance policy for racism and hate speech" -- has confirmed the ethnicity filter will be removed from the next version of the app. The change, which coincides with the start of Pride month, appears to have been catalyzed by responses to a tweet in which Grindr said, "Demand justice. One response to the tweet said "remove the ethnicity filter" and was subsequently retweeted 1,000 times. Grindr later deleted its original tweet, replacing it with the below.
For what is probably the lightest news you'll read today, Amazon's new feature for Alexa turns any connected devices into walkie-talkies. While they could already easily send messages from one device to another, now you can ask Alexa to "Drop In Everywhere" and get a live line to all the devices in your house, useful for finding out who wants what on their pizza or getting someone to check for a package at the front door. Just… don't activate it by accident? Researchers have combined biometrics from Oura rings with AI prediction models to detect COVID-19 symptoms up to three days early with, they claim, over 90 percent accuracy. It sounds pretty incredible, but the science isn't just about wearing a bit of tech on your finger.
I am regularly asked to summarize my many posts. I thought it would be a good idea to publish on this blog, every Monday, some of the most relevant articles that I have already shared with you on my social networks. Today I will share some of the most relevant articles about Artificial Intelligence and in what form you can find it in today's life. I will also comment on the articles. After the COVID-19 pandemic is over and the economy reopens, many students will resume work on their careers.
U.S. national security officials have approved an investor group's purchase of gay-dating app Grindr that is being sold by a Chinese company after the Trump administration raised concerns about the potential theft of Americans' personal data. In investor documents released Friday, China's Beijing Kunlun Tech Co. said that the buyer has secured approval from the Committee on Foreign Investment in the United States, a panel of national security experts who ordered that Beijing Kunlun Tech sell its ownership last year.
Coming with the ever growing computational power of mobile devices, mobile visual search have undergone an evolution in techniques and applications. A significant trend is low bit rate visual search, where compact visual descriptors are extracted directly over a mobile and delivered as queries rather than raw images to reduce the query transmission latency. In this article, we introduce our work on low bit rate mobile landmark search, in which a compact yet discriminative landmark image descriptor is extracted by using location context such as GPS, crowd-sourced hotspot WLAN, and cell tower locations. The compactness originates from the bag-of-words image representation, with an offline learning from geotagged photos from online photo sharing websites including Flickr and Panoramio. The learning process involves segmenting the landmark photo collection by discrete geographical regions using Gaussian mixture model, and then boosting a ranking sensitive vocabulary within each region, with an "entropy" based descriptor compactness feedback to refine both phases iteratively.
Foodborne illness afflicts 48 million people annually in the U.S. alone. Over 128,000 are hospitalized and 3,000 die from the infection. While preventable with proper food safety practices, the traditional restaurant inspection process has limited impact given the predictability and low frequency of inspections, and the dynamic nature of the kitchen environment. Despite this reality, the inspection process has remained largely unchanged for decades. CDC has even identified food safety as one of seven "winnable battles"; however, progress to date has been limited.