Low-light, long-exposure defocus deblurring remains a challenging problem due to the simultaneous presence of severe blur and complex biased noise. Existing methods typically rely on simplified noise assumptions, which limits their effectiveness under realistic imaging conditions. In this work, we propose Physen-Noise2Noise, a self-supervised deblurring framework guided by the physical model of defocus imaging, which leverages noisy multi-frame observations without requiring clean reference images. Unlike conventional Noise2Noise-based approaches that assume zero-mean noise, we derive a frequency-domain constraint inherent to the defocus imaging process and incorporate it into the learning framework via a learnable noise bias parameter. In addition, a multi-frame noisy initialization strategy is introduced to suppress complex biased noise prior to deblurring, providing a more stable starting point for reconstruction. This formulation explicitly models biased noise and enables joint bias correction and high-frequency detail recovery during training. Furthermore, we develop a pretrain-finetune variant to enhance robustness and generalization under challenging noise conditions. Extensive experiments on both simulation and real-world datasets demonstrate that the proposed method consistently outperforms state-of-the-art self-supervised approaches for defocus deblurring in the presence of complex biased noise.

This material may not be published, broadcast, rewritten, or redistributed.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 . You have a credit freeze; it still isn't enough Turning 65? Month-by-month plan to protect yourself China's AI growth is about'economic and political leverage,' Rep Hinson says Expert warns'red-green-green alliance' helping China gain AI edge AI's impact on jobs, economy debated as youth express growing fears Jury dismisses Elon Musk's lawsuit against OpenAI and Sam Altman China does not'innovate,' they'replicate': Former DHS spokeswoman Trump to press Xi to'open up' China as tech CEOs join key summit CIA calls COVID whistleblower hearing'political theater' in new statement How scammers use military records, VA data and benefit details to target veterans. Kurt'The CyberGuy' Knutsson breaks down the'perfect storm' for scammers to prey on Americans and how to protect yourself.

LaGuardia Airport's Terminal B now features an AI hologram concierge that answers traveler questions and provides step-by-step directions using real-time maps.

The Pope unveiled the Vatican's new encyclical, "Magnifica Humanitas," warning that AI risks becoming a tool of "domination, exclusion and death" without moral limits from governments.

A Ukrainian flying ace is leveraging his aerobatics skills to protect his countrymen from nightly attacks. The most challenging part of an international aerobatics contest is the Free Unknown. Pilots arrive at a competition after having polished sequences of loops, stall turns, and barrel rolls. But for the Free Unknown section they learn which assortment of tricks they must perform only a day in advance. Contestants plan out how they will string together the stipulated moves in the most pleasing fashion, but they cannot rehearse the routine, except in their minds. It's a test of imagination and airmanship that often decides the competition. In 2019, the World Intermediate Aerobatics Championship, which was held on an airfield in the Czech town of Břeclav, contained three Free Unknowns. The winner of the first was a twenty-five-year-old Ukrainian pilot named Timur Fatkullin. At the controls of his red-and-silver Extra 330LX--a nimble German sports plane--he made the unusual move of starting his sequence upside down. He then executed a complicated routine as if he'd practiced it for months. The Ukrainian team, boosted by Fatkullin's performance, won gold. Trevor Dugan, who served as a navigator with the R.A.F. in Afghanistan and Iraq, was on the British team, which took bronze. Fatkullin, he said, was "absolutely phenomenal." Not long after that championship, Fatkullin stopped entering aerobatics competitions: first came the pandemic, then the war with Russia. He moves through life impatiently. Now thirty-two, he has five children. He is tall, with a tight beard, pale-green eyes, and a square jaw. Even in casual situations, he stands ramrod straight, as though about to give or receive an order. He often wears a shirt with three buttons undone, a beige leather flying jacket with the collar turned up, combat pants, and Nike high-tops. He plays the guitar, a little piano. He often carries a thick fold of high-value bills. He speaks several languages, including English (almost perfectly) and Spanish (conversationally). He once spent thirty days in jail after breaking the ribs of a man who'd threatened his wife. He can dance the tango. When Fatkullin was in his mid-twenties, he started doing stunts with a group of other extreme athletes: parachutists, motorcyclists, a free diver.

The individual pieces create a kind of illusion. When a horse trots, is there a moment when its four feet are in the air simultaneously? In the 1870s, Leland Stanford, the railroad magnate and benefactor of the university that bears his name, funded an effort to find out. The answer shocked many equestrian experts and artists: The horse's feet leave the ground together, but not when outstretched as commonly depicted in paintings and carousels; the feet do so when they reach inward, toward the horse's belly. Surprisingly, this discovery about a horse's gait sheds light on a much more modern debate--whether A.I. is on a path to consciousness.

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Figure AI says three humanoid robots named Bob, Frank and Gary ran autonomously for over 24 hours, sorting packages without human control in a warehouse test.

Fake CAPTCHA checks are tricking people into installing malware by asking them to press keyboard shortcuts that execute hidden malicious scripts on their PCs.

'AI washing': firms are scrambling to rebrand themselves as tech-focused UK companies are performing "yoga-level" stretches to describe themselves as AI specialists in an attempt to capitalise on the buzz around the technology, public relations firms have said. Weary communications executives tasked with securing media coverage for brands have complained that bosses in low-tech industries or running businesses that use automation but not generative AI, are increasingly demanding they are pitched to journalists as artificial intelligence companies. "You can almost hear the eyes roll when you mention the word AI to a reporter," said a publicist in south London who represents a portfolio of tech and design firms. "I've watched a steady stream of companies try to bolt the label AI on to whatever they do, no matter how tenuous the link." Imran Ariff, a media strategist for Fight or Flight, a London-based communications agency, said: "It can be easy for brands to'drink their own Kool-Aid' when they're so proud of what they're doing and consequently, go too far in their efforts to promote their AI capabilities."