Oscar-winner Matthew McConaughey has trademarked his image and voice to protect them from unauthorised use by artificial intelligence (AI) platforms. Clips including his famous catchphrase alright, alright, alright from the 1993 film, Dazed and Confused, have been registered to the United States Patent and Trademark Office database, the Wall Street Journal (WSJ) reports. It is the first time an actor has attempted to use trademark law to protect their likeness from AI misuse, his lawyers and an expert said. Stars across Hollywood and the music industry including Scarlett Johansson and Taylor Swift have endured a wave of fake video, audio and images online, created by AI tools. Lawyers for the Magic Mike star told the WSJ they had no current examples of McConaughey's likeness being manipulated by AI, but hoped the trademarks could be used broadly against any unauthorised copies of him.

Ghislaine Maxwell's ultimate humiliation: Epstein's sex trafficker girlfriend poses in outrageous outfits and exposes herself in dozens of photos released from the billionaire paedophile's files I was falsely accused of being the Brown University shooter... Silent Trump flees growing storm over Epstein'cover-up' as he jets off for holidays without ANY comment Truth about THIS photo of Karoline Leavitt's face... and why if she was non-binary and disabled, Vanity Fair would never have done this: KENNEDY Why Conan O'Brien'stopped party guests calling 911' on Nick Reiner: Insiders reveal disturbing new details of final hours before Rob and Michele murders After 27 years as a TV anchor I was suddenly pulled off screens. My boss's explanation was a brutal lesson in loyalty Emily in Paris cast left'aghast' and'walking on eggshells' as off-camera drama becomes overwhelming... and whispers swirl about a CURSE Doctors said my hip pain was just tendinitis from sitting all day at work.

'It was about degrading someone completely': the story of Mr DeepFakes - the world's most notorious AI porn site The hobbyists who helped build this site created technology that has been used to humiliate countless women. Why didn't governments step in and stop them? For Patrizia Schlosser, it started with an apologetic call from a colleague. "I'm sorry but I found this. Are you aware of it?"

RFK Jr taunts Donald Trump as he shares pointed'Thanksgiving dinner' photo with the president, Elon Musk and Don Jr Fans hail Cece Winans' 'best ever' rendition of the national anthem on Thanksgiving and beg the NFL to get her to the Super Bowl I've seen it too many times - I have to speak up: KENNEDY Trump plunged into security scandal over Afghan shooter's asylum - after president blamed Biden Bryan Kohberger becomes nightmare prison diva... as he throws huge tantrum over BANANAS behind bars My wife was blindsided when I asked for a divorce. There was no foul play or'other woman' but this is why I did it... and the six subtle signs your partner is planning on leaving you too: RICHARD WARNER My book on the Kennedys was used as a'mistress manual' by Olivia Nuzzi... then this wannabe Carolyn Bessette had the nerve to hound me with these outrageous texts: MAUREEN CALLAHAN Americans are finally realizing why we don't eat turkey eggs Plastic surgeon reveals secrets of Tom Brady's changing face, including'unnatural' procedure... and truth about Ozempic use Lilibet's locks steal the show! Meghan's daughter is every inch the little Princess with her fiery red locks in a neat plait at Thanksgiving outing Kimberly Guilfoyle leaves little to the imagination in a figure-hugging sheer lace gown for Thanksgiving dinner in Athens in her role as US Ambassador - after admitting she's'husband hunting' Hollywood stars who REFUSE to celebrate Thanksgiving over animal cruelty and its'blood-soaked' history Hitting the gym can boost your memory, promising research has suggested. US scientists say weight training for just over 40 minutes can enhance long-term memory in healthy adults. Although the study used weight exercises as a form of resistance training, researchers said that resistance activities such as squats or knee bends should produce the same results.

In this work, our goal is to retrain the model to only forget specific concepts, i.e., to induce

NBA stars, mobsters, and marks with fat wallets are all part of an alleged ring of rigged poker games. Here's how these games are assembled, who attends, and how the purported cheating happens. Former NBA player and Portland Trail Blazers head coach Chauncey Billups (center) exits the Mark O. Hatfield United States Courthouse after his arraignment on October 23, 2025, in Portland, Oregon. To the uninitiated, the arrests of Chauncey Billups and Damon Jones last week for allegations of involvement in rigged illegal poker games may have appeared like an unusual collision of worlds. How could prosecutors claim that former NBA players (one a current coach), professional gamblers, and even mafia members all ended up rubbing elbows as part of the same high-tech cheating scheme that allegedly began in 2019 and ran for several years?

Tokyo police believe the man made about 20,000 sexually explicit images of 262 women, such as actors and idols, and amassed sales of ¥1.2 million between October last year and September this year. Tokyo police have arrested a 31-year-old man for allegedly creating fake sexual images of female celebrities with generative artificial intelligence technology and displaying them online, it was learned Thursday. It is the first time that police in Japan have cracked down on sexual deepfake images of celebrities created with generative AI. The suspect, Hiroya Yokoi of the city of Akita, has admitted he began making deepfakes to earn a small amount of money, which he used to cover living expenses and repay a student loan. Authorities believe Yokoi made a total of about 20,000 sexually explicit images of 262 women, such as actors, television personalities and idols, and amassed sales of ¥1.2 million between October last year and September this year.

Social media has become an essential part of the digital age, serving as a platform for communication, interaction, and information sharing. Celebrities are among the most active users and often reveal aspects of their personal and professional lives through online posts. Platforms such as Twitter provide an opportunity to analyze language and behavior for understanding demographic and social patterns. Since followers frequently share linguistic traits and interests with the celebrities they follow, textual data from followers can be used to predict celebrity demographics. However, most existing research in this field has focused on English and other high-resource languages, leaving Urdu largely unexplored. This study applies modern machine learning and deep learning techniques to the problem of celebrity profiling in Urdu. A dataset of short Urdu tweets from followers of subcontinent celebrities was collected and preprocessed. Multiple algorithms were trained and compared, including Logistic Regression, Support Vector Machines, Random Forests, Convolutional Neural Networks, and Long Short-Term Memory networks. The models were evaluated using accuracy, precision, recall, F1-score, and cumulative rank (cRank). The best performance was achieved for gender prediction with a cRank of 0.65 and an accuracy of 0.65, followed by moderate results for age, profession, and fame prediction. These results demonstrate that follower-based linguistic features can be effectively leveraged using machine learning and neural approaches for demographic prediction in Urdu, a low-resource language.

In this work, our goal is to retrain the model to only forget specific concepts, i.e., to induce