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HUNTSVILLE, Ala.--(BUSINESS WIRE)--May 25, 2023--

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It's almost that time of year again, when we see how many hours we've shamelessly spent listening to mortifying music and just playing Taylor Swift on loop. Yes, Spotify Wrapped is here again and soon your social media feeds will be full of people either showing you how cool by how much Senegalese lounge Jazz they listen to or embarrassed that they still haven't moved on from The Libertines or The Strokes. Each and every year, even for the most dedicated of music lovers, Spotify Wrapped throws up countless surprises in your top artists and songs leading many to question just how it tallies what you listen to. The past few years Wrapped has arrived earlier and earlier, as reported by the Radio Times, so it's not surprise that its arrived on November 29th. Here are the dates it arrived on the previous years. 2017: 6th December 2018: 6th December 2019: 5th December 2020: 2nd December 2021: 1st December 2022: 30th November Finding your Wrapped couldn't be easier you just need to go to your Spotify app on the day it drops and it'll be there waiting for you at the top of the app alongside your saved songs and albums. Alternatively, if you just use Spotify on a laptop or desktop you can visit spotify.com/wrapped and use it from there. Spotify have never officially said how they compile their data for Wrapped but a Reddit user in 2021 revealed how they believed it works. In the post Hudsonlovestech pointed out six key takeaways that they discovered after downloading their data from the music platform. They were: This year the data was logged from January 1st 00:00 to November 15th 23:59. You have to listen to a song for more than 30 seconds for it to count in your song rankings. Your top songs are calculated by play count rather than total time listened. In your top 100 playlist only the first 10 songs are sorted by play count, the rest are close but sorted by artist. Your total time listening includes podcasts. Your top artists are calculated by total play counts rather than total time listening. If you apply this date to your own listening history then there is a chance you might discover what your Wrapped will look like this year although there is no guarantee. Meanwhile, many users on X/Twitter are posting memes, imagining what their Wrapped will look like this year. To be honest, we're just dreading seeing how much we listened to Ryan Gosling sing 'I'm Just Ken' from the Barbie soundtrack. Sign up to our free indy100 weekly newsletter 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 CEO Shou Chew vowed Tuesday that his company's legal battle against Montana will succeed, after the state passed a law that would ban the app from personal devices starting in January.

Scientists have revealed they had found a way to combine the technology of brain scans and artificial intelligence to transcribe “the gist” of people’s thoughts. Alex Huth, an assistant professor of neuroscience and computing science at the University of Texas at Austin, and a co-author on the new study published in Nature Neuroscience, said that ‘this is a real leap forward.’ The study was led by Huth and Jerry Tang, a doctoral student in computer science. The main development from this study is that it’s non-invasive. This means that subjects do not require surgical implants. Instead, brain activity is measured using a functional magnetic resonance imaging (fMRI) scanner. Sign up to our free Indy100 weekly newsletter In the study, individuals listened to hours of podcasts in the scanner. Then, given the participant’s consent to have their thoughts decoded, they listened to a new story and the machine-generated corresponding texts from brain activity. It’s not a word-for-word transcript. For example, when an individual heard the phrase ‘I don’t have my driver’s licence yet’, the model decoded the individual’s thoughts to read as ‘she has not even started to learn to drive yet.’ Even when participants thought up their own stories, the machine was able to decode their thoughts still. Tang acknowledged that the advancements made in the study had the potential for negative aftermath. Tang said, ‘we take very seriously the concerns that it could be used for bad purposes and have worked to avoid that.’ They ran tests that highlighted that unless the machine had been trained on an individual’s particular brain activity, it could not decode its thoughts. An individual had to allow for the machine to train their brain activity over a long period of time inside a fMRI scanner for it to work. Researchers also found that it was easy to ‘sabotage’ the machine. Three participants were told to tell a different story in their mind, or count by seven, while listening to one of the podcasts. The study highlights even more development with artificial intelligence, after the popularity of OpenAI’s Chat GPT has sparked debate around the potential of AI. 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.

PHOENIX--(BUSINESS WIRE)--Aug 22, 2023--

The Biden administration is planning to step up the US government’s policing of an opaque market in biofuel

America’s “most wanted” hacker reinvented himself as a cybersecurity consultant after time in prison.