Trending Now Good Connection: Uplifting stories for a digital age Creator Playbook 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 All Series What one tiny signal can and can't tell us about dark matter An unknown material fills the universe. Elisha Sauers writes about space for Mashable, taking deep dives into NASA's moon and Mars missions, chatting up astronauts and history-making discoverers, and jetting above the clouds . Through 17 years of reporting, she's covered a variety of topics, including health, business, and government, with a penchant for public records requests. She previously worked for in Norfolk, Virginia, and in Annapolis, Maryland. Her work has earned numerous state awards, including the Virginia Press Association's top honor, Best in Show, and national recognition for narrative storytelling.

Is It Even Possible to Understand Quantum Mechanics? Common sense is of no help in studying reality at the atomic scale. A big problem with physics is that it's invented by humans. We see stuff around us and use our observations to build a mental model of the world. Children do this, and of course physicists keep right on doing it.

You're viewing the US edition You can switch to the UK or AU homepage at any time using this menu. Erika Kirk issues heartbreaking statement after judge orders Tyler Robinson to stand trial over late husband Charlie's murder Moment New Yorker is struck by lightning as he holds umbrella during thunderstorm... but is able to stagger to fetch help Terrifying USA map reveals Parkinson's explosion. State-by-state investigation uncovers disturbing pattern... and leaves experts all pointing to same culprit: Doctors warn against common lifestyle habits Husband loved to brag about his $5m mansion and private jet... but his success was as fake as his blinding white veneers. Full story behind Justin and Hailey Bieber's intense wedding exchange: He is'immature and fragile' and she'knows how to push his buttons,' say insiders who reveal'lingering childhood issues' and how she wears the pants Killer model's mask slips: Read her outrageous prison demands for hair, make-up and skimpy clothes as she languishes behind bars Americans deliver stunning verdict on Trump's renaming of Lake Ontario - as Canada trade war piles on misery ahead of the midterms Why Patrick Clancy can't face Lindsay: With jury in verdict deadlock, those closest to grieving dad reveal distressing crisis hundreds of miles away from court as he retreats to'bunker' Parents of Saylor Hayes, 5, arrested after nonverbal daughter found dead in waters near family's rental home I miraculously escaped a serial killer at 15. This is the shocking tactic I used to get away... but I'm haunted by the chilling secret he took to his grave My GOP star husband ordered me to be his'Proverbs 31' wife and made sex demands so demeaning I had to smoke weed before sleeping with him, woman tells court Is this the iPhone 18 Ultra?

You're viewing the US edition You can switch to the UK or AU homepage at any time using this menu. Erika Kirk issues heartbreaking statement after judge orders Tyler Robinson to stand trial over late husband Charlie's murder Parents of Saylor Hayes, 5, arrested after nonverbal daughter found dead in waters near family's rental home Terrifying USA map reveals Parkinson's explosion. State-by-state investigation uncovers disturbing pattern... and leaves experts all pointing to same culprit: Doctors warn against common lifestyle habits Husband loved to brag about his $5m mansion and private jet... but his success was as fake as his blinding white veneers. Full story behind Justin and Hailey Bieber's intense wedding exchange: He is'immature and fragile' and she'knows how to push his buttons,' say insiders who reveal'lingering childhood issues' and how she wears the pants Americans deliver stunning verdict on Trump's renaming of Lake Ontario - as Canada trade war piles on misery ahead of the midterms Killer model's mask slips: Read her outrageous prison demands for hair, make-up and skimpy clothes as she languishes behind bars Trump'couldn't care less' if Iran returns to peace negotiations as he seeks to decimate economy and issues challenge to nation's people Why Patrick Clancy can't face Lindsay: With jury in verdict deadlock, those closest to grieving dad reveal distressing crisis hundreds of miles away from court as he retreats to'bunker' I miraculously escaped a serial killer at 15. This is the shocking tactic I used to get away... but I'm haunted by the chilling secret he took to his grave Gas station chain is stealing Domino's customers with cheap pizza - and it's now the fifth-largest pizza chain in the US Lindsay Clancy verdict'disaster': Legal experts predict nightmare ending no one saw coming Tiger Woods to change'not guilty' plea in DUI case months after Florida rollover crash Charles Darwin famously claimed that fire was the greatest of all human inventions, with the exception of spoken language.

Scientists Create the Littlest Big Bang to Study the Universe's Origins The discovery redefines how large atoms need to be to produce the extreme state of matter found in the early universe. In the very first moments of the universe, matter didn't exist as we know today. A millionth of a second or so after the big bang, the universe was a dense, hot soup scientists call quark-gluon plasma (QGP). For several years, particle colliders --which smash molecules together at nearly the speed of light--have been able to replicate this state, but often using heavy elements like lead. Now, a recent experiment by the European Organization for Nuclear Research (also known as CERN from its French acronym) has demonstrated this plasma can be produced by much smaller collisions. Since there's no longer an accessible natural source of this primordial sludge, these micro big bangs can help reveal what happened in the first few minutes of our universe.

When you purchase through links in our articles, we may earn a small commission. The Mammotion Spino E1 is a capable and easy-to-use pool robot that delivers thorough cleaning of floors, walls, and the waterline, though it lacks advanced smart features and fine filtration. Mammotion has made a name for itself with the LUBA and YUKA series of robotic lawnmowers. The Spino E1 is the manufacturer's first robot pool cleaner and it incorporates similar functions and features found in its robotic lawn mower lineup, including caterpillar tracks, 17 sensors, and support for the Mammotion app. We tested it in our pool to see how it performs.

FIFA launch investigation into Argentina's shocking World Cup final post-match behaviour... as new footage shows what really sparked final-whistle brawl Scandal engulfs'it girl' fashion empire Set Active: Explosive claims about influencer founder's desperate fixation... 'inappropriate' texts that went ignored... and why employees wanted to stay on her'good side' How to lose a stone in 16 days WITHOUT weight-loss jabs: I was mortified to put on 23lb in my 50s. Here's the exact diet I used to lose it - and it will help you too No one's shocked Harry wants to reverse Megxit. Actress Mia Farrow, 81, learns the hard way that you'll never be woke enough for the transgender community Car experts reveal the little-known stereotypes that are actually TRUE... What does your vehicle really say about you? MAGA-friendly Fox News star Maria Bartiromo hints she's losing patience with Trump by asking VERY pointed question to ex-White House aide Shakira fans marvel over her'ageless' appearance at World Cup final as her ex-husband watches on from the stands with their sons'People hate her': KENNEDY's Hollywood mole unleashes on Angelina Jolie... as two more of her kids publicly humiliate dad Brat Pitt Ever since I went on Vyvanse for ADHD, my marriage has felt different. A comment from my husband made me realise why women are calling it the'divorce drug': ASK JANA Mystery over what REALLY caused'explosive diarrhea' parasite as FDA admits lettuce that was first to blame was a'false positive' Nicola Peltz's unravelling: New feuds, her acting career in freefall and the snub that left Harper Beckham'devastated'... insiders tell KATIE HIND: 'She hasn't come out of this looking very good at all.

The company has drawn governments, a major chipmaker, and the Pentagon into an effort to control fragile photons and build a useful quantum machine. It aims to be the first. PsiQuantum aims to build a quantum computer that can solve some of science's hardest problems. Its chips, cut from wafers like the one shown here, will perform computations using photons, the particles of light. The machine that could change the world will be housed in a room that looks like a data center crossed with an ice cream factory. Inside will be some 100 stainless-steel cabinets, each about six feet tall and connected to a supply of liquid helium that keeps them only a few degrees above absolute zero. Inside those cabinets will be hundreds of chips, and on those, thousands of particles of light flying through a maze of optical switches and beam splitters.

Bayesian filtering of partially and noisily observed dynamical systems seeks to infer the evolving conditional distribution of the state of a dynamical system, given observations, in an online fashion. This Bayesian filtering distribution is the natural object for uncertainty quantification, but it is rarely available as a supervised learning target. However, one can often use the forecast model to generate synthetic system trajectories, along with synthetic observations. We introduce the proper scoring ensemble filter (PSEF), an ensemble data assimilation method based on training an analysis map to approximate the filtering distribution using only synthetic state--observation trajectories. The analysis step is represented as a permutation-invariant, transformer-based map that takes as input a forecast ensemble and observations, producing an analysis ensemble. Training is based on strictly proper scoring rules -- with the energy score used in our implementation -- so that probabilistic accuracy is rewarded over the whole probability distribution. We prove that, under a realizability assumption, the population objective is minimized by the true Bayesian filtering distribution. We also derive the finite-ensemble empirical objective used in training and relate its single state--observation trajectory form to the population objective, using a mean-field consistency argument. Numerical experiments show that the learned filter accurately approximates challenging filtering distributions, including nonlinear, non-Gaussian, and multi-modal posteriors, and achieves stronger performance in data assimilation tasks than classical methods or learning-based methods with mean-squared-error objectives. For close-to-Gaussian problems, learning a correction to the EnKF is the best approach, while for highly non-Gaussian problems an end-to-end approach that discards this inductive bias is superior.

Vision-Language Models (VLMs) are integral to tasks such as image captioning and visual question answering, but their high computational cost, driven by large memory footprints and processing time, limits their scalability and real-time applicability. In this work, we propose leveraging Singular-Value Decomposition (SVD) over the joint query (Q), key (K), and value (V) weight matrices to reduce KV cache size and computational overhead. We in addition introduce an efficient rank allocation strategy that dynamically adjusts the SVD rank based on its impact on VLM accuracy, achieving a significant reduction in both memory usage and computational cost. Finally, we extend this approach by applying quantization to both VLM weights and activations, resulting in a highly efficient VLM.