artwork
'Biggest ever' Roman wall mosaic is revealed after 2,000 years: Stunning artwork near the Colosseum features a bearded philosopher, a centaur and a young poet
You're viewing the US edition You can switch to the UK or AU homepage at any time using this menu. Now FOURTH Lindsay Clancy juror makes extraordinary admission after deliberations swayed her vote: 'I thought she was guilty... maybe I still do' Solemn Prince William joins the world's royals in mourning at King Harald of Norway's funeral - as the new Queen's disgraced son is released from house arrest to attend The King has slapped down Harry and Meghan... but this is the biggest revelation from his public letter. Anthropic researcher quits'out of control' AI race with chilling warning it could'kill all humans' by 2030 Trump lashes out after being accused of touting'fake' 9/11 rescue story Explicit tour-bus security cam footage that sparked Nashville's latest A-list divorce: Country star'in deep s***' after humiliated wife'saw it all' Richard Branson's wife Joan died from'massive' blood clot after doctor'failed to prescribe her medication', inquest hears My boyfriend's sex ...
Baggu's new MoMA collab puts Van Gogh, Monet, and Mondrian on its bags -- your tote just got cultured
Creator Playbook Trending Now Say More Look Up Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Switch Off Mashable Voices Mashable Selects Safety Net Versus Gift Ideas For Everyone On Your List In My Bag All Series Baggu's new MoMA collab puts Van Gogh, Monet, and Mondrian on its bags -- your tote just got cultured Your next Baggu might be the most cultured thing you own. Soumya is a deals writer who covers consumer tech, shopping deals, and the products people use every day. With experience writing about everything from AI tools and software to smartphones and home gadgets, she enjoys breaking down product research into clear, useful recommendations. When she's not tracking deals, she's usually comparing products, digging through reviews, and figuring out what actually makes a purchase worth it. All products featured here are independently selected by our editors and writers.
Combining cultures, from code to canvas: an interview with Ken Goldberg
Bringing back in the specialists and generalists idea - could you have several specialists on each node, and then a generalist agent overseeing all the nodes? Yes, you can think of it that way. We use the term "orchestrator" - an orchestrator is trying to manage everything, but the complexity gets balanced with a hierarchical structure. You tested this policy on some leading LLMs, and they performed differently to each other. Why do you think Gemini did better than, say, Claude or ChatGPT?
The Best Art TVs
After you're done bingeing your favorite movies, these art televisions are designed to liven up your wall. I have watched so many times I've lost count. For years, the Andrew Wyeth painting took a prominent place in my living room. Art televisions--the category of TV pioneered by Samsung's Frame and now rapidly expanding with models from many of the major TV producers --combine my passion for movies and shows with an even greater interest in art and photography. When it comes to their performance as televisions, even the best art TVs don't have quite the same punchy colors and speedy refresh rates found on similarly priced standard televisions. However, when the movie is finished, art TVs look a lot better in a room, displaying art and photos on a matte screen with a pristine clarity in a space otherwise wasted by a black box. Art televisions are typically just a little more expensive than a normal 4K TV.
Samsung The Frame Pro 2026 Review: Pricey But Worth It
Samsung's 2026 update to The Frame Pro brings meaningful upgrades to the company's already excellent art television line. Paywalled art work requires monthly subscription. The market for art televisions is hot right now. Hisense and TCL also make low-cost models. But if you want the best, Samsung's The Frame Pro is still king.
Artistic Style Transfer with Internal-external Learning and Contrastive Learning
Although existing artistic style transfer methods have achieved significant improvement with deep neural networks, they still suffer from artifacts such as disharmonious colors and repetitive patterns. Motivated by this, we propose an internal-external style transfer method with two contrastive losses.
This is now the most valuable piece of Star Wars memorabilia
Artist Tom Jung's 1977 painting introduced the world to the look and feel of George Lucas' blockbuster adventure. Breakthroughs, discoveries, and DIY tips sent every weekday. Darth Vader's reign has ended. For a brief time, he owned the mantle of "Most Expensive Piece of Star Wars Memorabilia," but before you could say "more wealth than you can imagine" he fell once again, with a new challenger rising to take his place. It was only this past September that a verified screen-used lightsaber hilt wielded by the Dark Lord of the Sith in and set a sales record by fetching $3.65 million.
Artwork Interpretation with Vision Language Models: A Case Study on Emotions and Emotion Symbols
Padó, Sebastian, Thomas, Kerstin
Emotions are a fundamental aspect of artistic expression. Due to their abstract nature, there is a broad spectrum of emotion realization in artworks. These are subject to historical change and their analysis requires expertise in art history. In this article, we investigate which aspects of emotional expression can be detected by current (2025) vision language models (VLMs). We present a case study of three VLMs (Llava-Llama and two Qwen models) in which we ask these models four sets of questions of increasing complexity about artworks (general content, emotional content, expression of emotions, and emotion symbols) and carry out a qualitative expert evaluation. We find that the VLMs recognize the content of the images surprisingly well and often also which emotions they depict and how they are expressed. The models perform best for concrete images but fail for highly abstract or highly symbolic images. Reliable recognition of symbols remains fundamentally difficult. Furthermore, the models continue to exhibit the well-known LLM weakness of providing inconsistent answers to related questions.