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How time travel could work: Scientists have uncovered a way to send messages into the PAST

Daily Mail - Science & tech

TPUSA issues blistering response to Hollywood nepo baby who called Erika Kirk a'sociopath' and urged Trump to'kill' organization Who's The Boss? star Judith Light, 77, has fans concerned with strange poses on red carpet Shock as Home Depot rival closes all 15 of its stores and declares bankruptcy thanks to consumers' reluctance to spend ROBERT HARDMAN: What Trump told me about the King and William. Men everywhere secretly have the same complaint about their sex lives. It's NOT about looks or frequency... Spirit Airlines prepares to shut down as Trump's rescue deal falls apart I'm the REAL Emily from Devil Wears Prada: Anna Wintour's assistant played by Emily Blunt reveals herself... and cutthroat behind-scenes details that the movie did NOT include The Devil Wears Prada 2 review: Searingly silly, ridiculous sequel is a complete disgrace to fashion... and guilty of the biggest sin of all: JANE TIPPETT The ultimate Ozempic survival kit: Experts reveal cheap drugstore remedies and one miracle food every GLP-1 user needs to ease side effects... meaning you can take a HIGHER dose and lose MORE weight Mom stunned to discover she is pregnant with twins just WEEKS after giving birth: 'I was in denial' Alleged JPMorgan sex slave unmasked as crisis sparks drama at America's biggest bank: 'Everyone's wondering what Jamie thinks' Time machines may seem better suited to science fiction than the physics lab, but experts say this futuristic technology could become a reality. Researchers have revealed how time travel could really work by using the laws of quantum physics. While their method won't let you hop back to the time of the dinosaurs, scientists say it could be possible to send messages into the past.


You Found Satoshi? Let's See the Receipts

WIRED

Two new projects, including one from a Pulitzer-winning reporter, claim they've solved the mystery of Bitcoin's creator. So why does the hunt continue? In December 2024, at the suggestion of a mutual friend, I met with a professional investigator named Tyler Maroney. He told me he was on a quest to discover the identity of Satoshi Nakamoto, the inventor of Bitcoin, and he felt that he had cracked the case. My first thought was, join the club. Literally dozens of journalists and investigators have spent months or even years trying to uncover the mysterious creator of the most popular cryptocurrency, who ended his (or her or their) online presence in 2011 and amassed around $83 billion in Bitcoin.


Fox News AI Newsletter: The AI model that's too dangerous to go public

FOX News

This material may not be published, broadcast, rewritten, or redistributed. Quotes displayed in real-time or delayed by at least 15 minutes. Market data provided by Factset . Powered and implemented by FactSet Digital Solutions . Mutual Fund and ETF data provided by LSEG .


Spotify adds 'Verified' badges to distinguish human artists from AI

BBC News

Spotify adds'Verified' badges to distinguish human artists from AI Spotify is introducing a'Verified' badge to help users identify when artists on its platform are human, not AI-generated. The world's most-used music streaming service said the'Verified by Spotify' text and green checkmark icon would appear next to artist names when they meet defined standards demonstrating authenticity. This could include having linked social accounts on their artist profile, consistent listener activity or other signals of a real artist behind the profile, the company said, such as merchandise or concert dates. In its blog post, Spotify said more than 99% of the artists listeners actively search for will be verified, representing hundreds of thousands of artists. It said the process would prioritise acts with important contributions to music culture and history, rather than content farms, with the platform rolling out verification and badges over the coming weeks.


Unitree G1 humanoid robot ice skates and rollerblades

FOX News

Unitree Robotics' G1 humanoid robot glides on ice skates and rollerblades, performing spins and flips while maintaining balance through wheel and leg control.


These candidates for mayor are long shots. But they hope to lead the city of L.A.

Los Angeles Times

Things to Do in L.A. Tap to enable a layout that focuses on the article. These candidates for mayor are long shots. But they hope to lead the city of L.A. Hyman is a hip-hop artist and Grammy-nominated songwriter. This is read by an automated voice. Please report any issues or inconsistencies here .


Russia hammers targets across Ukraine overnight

Al Jazeera

What are Russia's gains from the Iran war? 'We are not losers; we are winners' Russia has continued heavy attacks on Ukraine for the past 24 hours, with several coming overnight on Thursday and in the early hours of Friday. At least one person has been killed and several have been injured. A Russian drone attack overnight damaged port infrastructure in Ukraine's southern Odesa region and wounded two people in the Black Sea port city of Odesa, regional Governor Oleh Kiper said on Friday morning. Two high-rise residential buildings were damaged in the attack, which destroyed apartments and caused fires, Kiper wrote on the Telegram messaging app. "This night, Russia again massively attacked the civilian infrastructure of the Odesa region: two people were injured," he said.




Improving Diffusion-Based Image Synthesis with Context Prediction

Neural Information Processing Systems

Diffusion models are a new class of generative models, and have dramatically promoted image generation with unprecedented quality and diversity. Existing diffusion models mainly try to reconstruct input image from a corrupted one with a pixel-wise or feature-wise constraint along spatial axes. However, such point-based reconstruction may fail to make each predicted pixel/feature fully preserve its neighborhood context, impairing diffusion-based image synthesis. As a powerful source of automatic supervisory signal, context has been well studied for learning representations. Inspired by this, we for the first time propose CONPREDIFF to improve diffusion-based image synthesis with context prediction.