Activewear brand Sweaty Betty has become involved in a new dispute over advertising slogans, which a period underwear company claims were copied. Kelly Newton said Sweaty Betty's use of two taglines that were very similar to her firm Nixi Body's seemed a little off, and while she could not get them trademarked she felt Sweaty Betty was taking from other female founders. Sweaty Betty said the No ifs. Ms Newton said she was speaking out after seeing personal trainer Georgina Cox reveal Sweaty Betty had offered her a settlement over a disputed slogan . Ms Newton, who co-founded Nixi Body in 2019, said the company has advertised its leak-proof period underwear with the lines Keeping you moving through menstruation, motherhood and menopause and No leaks.

New images of two novae are'like going from a grainy black-and-white photo to high-definition video.' Breakthroughs, discoveries, and DIY tips sent every weekday. The recent deaths of two white dwarf stars are challenging our understanding of both novae and the powerful physics underlying star death. According to astronomer John Monnier, the initial analysis of these often dramatic novae offers an "extraordinary leap forward" for the field. "The fact that we can now watch stars explode and immediately see the structure of the material being blasted into space is remarkable," said the University of Michigan astronomer and a co-author of a study published on December 5 in the journal .

Two armed men have stolen eight engravings by French artist Matisse and at least another five by Brazilian painter Cândido Portinari from a library in São Paulo. Brazilian officials say the thieves held up a security guard and an elderly couple who were visiting the library before making off with the artworks on foot. They reportedly entered the library by the main entrance at 10:00 (13:00 GMT) on Sunday, and left by the same route, heading towards the nearest metro station. The heist comes less than two months after the art world was rocked by a brazen break-in at the Louvre museum in Paris, where thieves made off with priceless jewels. The engravings stolen from Biblioteca Mário de Andrade on Sunday formed part of a joint exhibition with the São Paulo Museum of Modern Art.

Study shows leading U.S. universities collaborated with Chinese state-backed AI labs linked to surveillance technology targeting Uyghur Muslims in Xinjiang.

Cybercriminals using malware and AI tools have stolen over $318 million in cargo shipments nationwide, targeting freight during transit with sophisticated online fraud schemes.

We'll keep following these developments, but this just wasn't their year. If you're a longtime reader, you probably know that our newsroom selects 10 breakthroughs every year that we think will define the future . This group exercise is mostly fun and always engrossing, but at times it can also be quite difficult. We collectively pitch dozens of ideas, and the editors meticulously review and debate the merits of each. We agonize over which ones might make the broadest impact, whether one is too similar to something we've featured in the past, and how confident we are that a recent advance will actually translate into long-term success. There is plenty of lively discussion along the way.

China conducts systematic intellectual property theft campaign against America using cyber-espionage and commercial access, threatening U.S. technological leadership.

Number's up: Calculators hold out against AI The Casio Mini, the world's first personal calculator, is seen at the Toshio Kashio Memorial Museum of Invention in Tokyo on Nov. 25. Tokyo/Bangkok - The humble pocket calculator may not be able to keep up with the mathematical capabilities of new technology, but it will never hallucinate. The device's enduring reliability equates to millions of sales each year for Japan's Casio, which is even eyeing expansion in certain regions. Despite lightning-speed advances in artificial intelligence, chatbots still sometimes stumble on basic addition. In a time of both misinformation and too much information, quality journalism is more crucial than ever.

Sequential identity consistency under precise transient attribute control remains a long-standing challenge in controllable visual storytelling. Existing datasets lack sufficient fidelity and fail to disentangle stable identities from transient attributes, limiting structured control over pose, expression, and scene composition and thus constraining reliable sequential synthesis. To address this gap, we introduce \textbf{2K-Characters-10K-Stories}, a multi-modal stylized narrative dataset of \textbf{2{,}000} uniquely stylized characters appearing across \textbf{10{,}000} illustration stories. It is the first dataset that pairs large-scale unique identities with explicit, decoupled control signals for sequential identity consistency. We introduce a \textbf{Human-in-the-Loop pipeline (HiL)} that leverages expert-verified character templates and LLM-guided narrative planning to generate highly-aligned structured data. A \textbf{decoupled control} scheme separates persistent identity from transient attributes -- pose and expression -- while a \textbf{Quality-Gated loop} integrating MMLM evaluation, Auto-Prompt Tuning, and Local Image Editing enforces pixel-level consistency. Extensive experiments demonstrate that models fine-tuned on our dataset achieves performance comparable to closed-source models in generating visual narratives.

Art has long played a profound role in shaping human emotion, cognition, and behavior. While visual arts such as painting and architecture have been studied through eye tracking, revealing distinct gaze patterns between experts and novices, analogous methods for auditory art forms remain underdeveloped. Music, despite being a pervasive component of modern life and culture, still lacks objective tools to quantify listeners' attention and perceptual focus during natural listening experiences. To our knowledge, this is the first attempt to decode selective attention to musical elements using naturalistic, studio-produced songs and a lightweight consumer-grade EEG device with only four electrodes. By analyzing neural responses during real world like music listening, we test whether decoding is feasible under conditions that minimize participant burden and preserve the authenticity of the musical experience. Our contributions are fourfold: (i) decoding music attention in real studio-produced songs, (ii) demonstrating feasibility with a four-channel consumer EEG, (iii) providing insights for music attention decoding, and (iv) demonstrating improved model ability over prior work. Our findings suggest that musical attention can be decoded not only for novel songs but also across new subjects, showing performance improvements compared to existing approaches under our tested conditions. These findings show that consumer-grade devices can reliably capture signals, and that neural decoding in music could be feasible in real-world settings. This paves the way for applications in education, personalized music technologies, and therapeutic interventions.