GameStop Corp. said it’s ending its support for its cryptocurrency wallets, citing “regulatory uncertainty.” The company will remove

UBS Group AG’s decision last month to completely integrate Credit Suisse’s domestic business brings with it a task

SANTA CLARA, Calif.--(BUSINESS WIRE)--Jun 28, 2023--

TAIPEI, Taiwan--(BUSINESS WIRE)--May 30, 2023--

By Anna Tong, Max A. Cherney, Christopher Bing and Stephen Nellis SAN FRANCISCO/WASHINGTON OpenAI, the company behind ChatGPT,

Social media personality Hasbulla Magomedov has been arrested in Russia for driving offences committed after a wedding celebration. 20-year-old Hasbulla is from Russia and was arrested in his native Dagestan, a Republic of Russia, in an incident involving a group of his friends celebrating a wedding. According to reports, Hasbulla and friends blocked a main road in order to do doughnuts. Since his arrest, Hasbulla apologised for the incident on social media and confirmed it wasn’t him driving. He tweeted: “That won't happen again, people we apologise. We had to answer for it a little bit. I wasn't driving either.” Sign up to our free Indy100 weekly newsletter According to Dagestan’s Internal Affairs Ministry, the act of blocking a road to burn rubber is a common form of celebration after a wedding and added that wedding emotions got the better of those arrested. The statement read: “Unbridled wedding fun in Dagestan is known to many and far beyond the borders of the republic.” It continued: “In the absence of other ways of entertainment, such a primitive option is still extremely popular - blocking roads for other road users, burning rubber, smashing cars against each other and many other features that, in fact, have nothing to do with the celebration.” Footage of the incident was shared online and showed the social media star in a car blocking the road, while another vehicle from his party did donuts in the road in front. The statement from Dagestan’s Internal Affairs Ministry continued, explaining: “All participants of 'wedding emotions', as they themselves call it, were taken to the police, and in relation to them, employees of the State Traffic Inspectorate of the Ministry of Internal Affairs of Dagestan drew up administrative protocols for all violations.” It’s not the first time in recent months that Hasbulla’s actions have caused a stir. A few months ago the star came under fire after a clip appeared to show him abusing a cat. Have your say in our news democracy. Click the upvote icon at the top of the page to help raise this article through the indy100 rankings.

TikTok is challenging Montana’s first-of-its kind law that makes it illegal for people to use the social media app in the state

MANILA Analog chipmaker Texas Instruments is planning to invest up to $1 billion to expand its Philippine facilities,

The mystery behind the brightest explosion ever seen has finally been solved. In October last year, the Earth was hit by a blast that came to be known as the Brightest of All Time. It was recorded by telescopes across the world, and scientists have been scrambling to explain it ever since. Now researchers believe they may understand why that gamma ray burst was quite so intense. It was pointed directly at Earth and pulled along a large amount of stellar material. That’s according to a new paper published in the journal Science Advances. While scientists have suggested before that the brightness of the blast was the result of its angle, but some mystery remained: the edges of the jet could not be seen. “The slow fade of the afterglow is not characteristic of a narrow jet of gas, and knowing this made us suspect there was an additional reason for the intensity of the explosion, and our mathematical models have borne this out,” said Hendrik Van Earthen from the University of Bath. “Our work clearly shows that the GRB had a unique structure, with observations gradually revealing a narrow jet embedded within a wider gas outflow where an isolated jet would normally be expected.” The work is described in a new paper, ‘A structured jet explains the extreme GRB 221009’, published in the journal Science Advances. Read More Scientists demonstrate wireless power transmission from space for first time Whistleblower alleges UFO crashes – and a cover-up to keep them secret Watch: Strawberry moon lights up skies over UK

Permira and Blackstone on Tuesday said that they willacquire eBay-backed online classifieds group Adevinta ASA for about 141

Britain’s biggest police force is using “game-changing” facial recognition technology to catch prolific shoplifters. The Metropolitan Police asked 12 retailers to provide images of 30 of the worst offenders who steal from their shops in a pilot of the new software. They were compared against the force’s custody shots, and of 302 images submitted, 149 came up as positive matches. Those matches are now being investigated further with a view to building criminal cases. The software uses biometric measures of a person’s face and works even if part of their face is covered. It takes around 60 seconds to find a match. Commissioner Sir Mark Rowley said: “We’re working with shops across the capital to target and track down criminals in a way we never have before. “We’re pushing the boundaries and using innovation and technology to rapidly identify criminals. “The results we’ve seen so far are game-changing. The use of facial recognition in this way could revolutionise how we investigate and solve crime.” He claimed that most of the prolific offenders were involved in other, more serious criminal activity. “What’s most powerful is what we’ve learned about those involved in this offending so far. It’s clear the majority are career criminals involved in serious crime,” Sir Mark said. “This data and information helps us focus our efforts in an even more precise way than we originally anticipated. “Through this tactic we’re not only improving how we protect shops and support the business community, we’re stepping further forward in identifying and tracking down serious criminals and protecting all of London’s communities. “The scale of business crime in London is huge. To be successful we have to be precise in our approach and this is a really promising step forward.” Met police last year." data-source=""> Chief executive of the Association of Convenience stores James Lowman said while the technology could save police time, there is still a challenge in getting offenders off the street. He said: “Using artificial intelligence to identify prolific offenders can be an effective way of drastically reducing the amount of police time it takes to make links between crimes committed against different businesses locally. “Whether its artificial intelligence or local intelligence that leads to criminals being identified, the real challenge remains apprehending these offenders and getting them off the streets.” The Met started using the software in August and began the retail pilot in late September. The new system can use images from CCTV, dashcams, doorbell cameras or phones. It uses the same algorithm as the Met’s live facial recognition technology, about which there have been well-publicised concerns over potential bias. Lindsey Chiswick, director of intelligence for the Met and national policing lead on facial recognition, said the algorithm has been independently tested by the National Physical Laboratory. She said: “Facial recognition technology, which is able to match faces after the event, has actually been around for quite a few years. “What’s changed and what is improving all the time, and in the last few years with real speed, is the accuracy of the algorithm. And that’s the real game changer here. “With this technology, it’s an algorithm that we’ve independently tested through the National Physical Laboratory so we have assurance it’s 100% accurate when it comes to retrospective usage, and we understand how it works.” Around 50,000 shoplifting incidents were reported to the Met last year, estimated to be between 5% and 10% of the offences that are actually committed. Emmanuelle Andrews, from human rights charity Liberty that has campaigned against the use of facial recognition, said: “Facial recognition has no place on our streets, in our shops – or in any other areas of our lives. “This technology threatens our privacy and stifles free speech – and we should all be worried about moves to expand its reach. “We’re also concerned about the creep of facial recognition technology into other areas of policing. “Let’s be clear: we cannot rely on tech to solve deep societal problems, this is an unjustified expansion of state surveillance and there are numerous alternatives.” Read More Facial recognition firm Clearview AI overturns UK data privacy fine Sadiq Khan, Met Commissioner to ask phone companies to ‘design out’ theft Microsoft gets go-ahead to buy Call of Duty maker Activision Incels using TikTok to spread ‘hateful beliefs’, research suggests Duke and Duchess of Sussex call for overhaul of social media Google to trial AI in UK traffic light systems to reduce stop-and-go emissions

Ninja was one of the big content creators who moved to Mixer, Microsoft's unsuccessful video game live-streaming platform