Audiophile hobbyists seek the best belt-driven turntables, tube-powered amps with the warmest glow, speakers exhibiting

NEW YORK--(BUSINESS WIRE)--Jun 13, 2023--

In the latest installment of ChatGPT-ifying everything, Mercedes-Benz is taking the AI chatbot for a

Three new Valorant Team Deathmatch maps, called Piazza, District, and Kasbah, are coming to Riot Games' FPS game on June 27 in Episode 7.

NEW YORK--(BUSINESS WIRE)--Aug 9, 2023--

The rise of electric cars is staggering. Over the past decade, Teslas have gone from being the car

Metallica has stepped in with a big compliment for a woman posting bagpipe covers of the band’s songs on Instagram, after she was criticised by fans online. New Yorker Ally Crowley-Duncan, known online as Piper Ally, has nearly 330,000 followers on the social media app, where she posts videos of her playing the instrument. On 20 June, Crowley-Duncan uploaded a video showcasing “Five Metallica songs you didn’t know you could bagpipe.” Sign up to our free Indy100 weekly newsletter “Metallica and bagpipes is *chefs kiss*,” she wrote, with covers of some of the band’s biggest hits including Master of Puppets, Fade to Black, One, Enter Sandman, and Whiskey in the Jar. One Instagram user was unimpressed. “Bagpipes don’t belong in Metallica!!,” they wrote. “James [Hetfield, the lead singer] would not approve.” However, within minutes, Metallica intervened, saying: “@Ally the Piper. This guy doesn’t speak on our behalf. You’re awesome.” In a separate post, Crowley-Duncan shared the comment. She said: “When Metallica defends you in the comments of your own video.” Other users were quick to leap to her defence. One person said: “Could not have [a] bigger compliment.” Another said: “This is LEGENDARY.” Before long, the critic had deleted their comment, and later their own Instagram account. One commenter added: “This one goes out to that comment trying to talk for @metallica. Keep it up bad ass.” Another said: “Imagine getting owned so hard you up and quit Instagram. Metallica has spoken!” 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.

By Lisa Pauline Mattackal and Medha Singh America's mom and pop bitcoin buffs have a shiny new derivatives

The ‘Slow Burn’ trend pointed out by MrBeast's manager might have an impact on the performance of major creators on TikTok and YouTube Shorts

Nasa has built an artificial intelligence model to predict where on Earth an impending solar storm would strike, a new system that scientists said can provide “30 minutes of advance warning”. The AI model analyses Nasa satellite data to raise the alarm on dangerous space weather, said researchers from the American space agency’s Goddard Space Center. The warning may provide just enough time for countries to prevent severe impacts of these storms on power grids and other critical infrastructure, according to the new study published recently in the journal Space Weather. Solar storms are caused when the Sun emits a burst of electrically charged plasma in what is called a coronal mass ejection. These charged particles create so-called geomagnetic storms that may cause blackouts and technological malfunctions of instruments on Earth as they interfere with the protective magnetic field around the planet. While these storms range from mild to extreme, their effects could become increasingly disruptive in a technologically dependent world. For instance, a solar storm in 1989 caused blackouts across Quebec, Canada for 12 hours, plunging millions into the dark and closing schools and businesses. Another popular solar superstorm event known as the Carrington Event sparked fires at early telegraph stations in 1859 that prevented messages from being sent. Scientists warned that the risk of such a devastating solar storm is increasing as we approach the next “solar maximum” – a peak in the Sun’s 11-year activity cycle. To prevent such a devastation, Nasa scientists developed the new AI model to identify links between solar wind measurements from previous Sun missions and geomagnetic disturbances observed at ground stations across Earth. The computer model they developed, called DAGGER, can quickly and accurately predict geomagnetic disturbances worldwide, “30 minutes before they occur,” researchers said. When they tested the model against two geomagnetic storms that happened in August 2011 and March 2015, it was able to “quickly and accurately” forecast the storm’s impacts around the world. The new prediction system is the first to combine swift analysis of AI, with real measurements from space and across Earth to generate frequently updated predictions. Scientists believe the early warning provided by the system can help take action to protect infrastructure from an impending solar storm, such as temporarily taking sensitive systems offline or moving satellites to different orbits. Read More Stunning aurora lights up skies over Australia: ‘Brightest one I’ve ever seen’ How a severe solar storm could leave a lasting impact on our world The world is not yet ready to overcome a once-in-a-century solar superstorm, warn scientists Astronomers find ‘objects that no one has ever seen before’ Saturn’s rings are no more than 400 million years old – study Strange sounds recorded by balloons in stratosphere leave scientists puzzled

RADEBEUL, Germany--(BUSINESS WIRE)--Jun 19, 2023--

Credit card disputes at Visa Inc. continued rising past their pandemic boom despite the proliferation of prevention software,