You're viewing the US edition You can switch to the UK, AU or IE homepage at any time using this menu. Dr. Oz storms into NYC senior care centers to uncover suspected'Chinese mafia' fraud ring: 'A clubhouse for crime' Prince Harry's interview calling for'reconciliation' with his family which aired during a State Visit is greeted by a chorus of royal eye-rolling Bryan Kohberger's only friend hints at killer's bombshell real motive for Idaho murders... as he reveals event before slaughter that left him'unable to stop shaking' The uncomfortable truth about Christina Applegate's MS misdiagnosis that Hollywood can't ignore: MAUREEN CALLAHAN Ilhan Omar vows not to be intimidated as she surfaces to ask for donations during'challenging time' Leaked Noah Presgrove filing makes explosive claims about alleged lover's plot to kill Oklahoma teen hours before his naked body was found on remote road next to his teeth Battle for the soul of Texas: Paxton vs Talarico gets more frantic by the day ...

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At the International Conference on Machine Learning (ICML 2026),, and presented their work Vision Language Models Cannot Reason About Physical Transformation . In this interview, William Yijiang Li tells us more about the research, the method the team used, and the controlled experiments they carried out. What is the topic of the research in your paper and why is it an interesting area for study? Our research asks a fairly fundamental question: do vision-language models actually understand how the physical world changes over time? Modern vision-language models are increasingly being used in areas such as robotics, embodied agents, and video understanding.

You're viewing the US edition You can switch to the UK, AU or IE homepage at any time using this menu. Terrifying moment California college student narrowly escapes stalker who chases her home and vaults over gate in race to her front door... but police let him walk for infuriating reason Devastating untold story of Presley Gerber's final days: Extremely thin, jittering'like he was on meth' and so out his mind that his voice changed... mom Cindy Crawford tried one last panicked intervention - as reality slipped away Many missed the subtle signs in Prince William and Kate's'united front' that show us what's going on behind the scenes for the royal couple. But I've been studying them for years. Seemingly innocuous rental home in red hot California hotspot hits the market for $6,300... but it's hiding a dark secret that's left a family furious Pet rescue showcased its'incredible' work in adorable photos of cute cats... but owners were hiding a terrifying dark secret Dark new details of infertile influencer Clavicular's alleged Cape Cod rape: Read the damning claims about booze-fueled night at GRANDMA's coastal mansion with underage girl... and his mom's shock reaction Florida teacher under fire as she's accused of trying to'cancel' an 8th grader over anti-woke views Creator of AOC's infamous Tax the Rich dress owes more than $1million for A-list gala featuring Meghan Markle Trump visibly WINCES at roaring military flyover during stone-faced Xi's red carpet welcome - the same treatment he once mocked Obama for Dolly Parton's sister speaks out on family'feud' amid shock clash over late star's estate Wendy's manager, 19, accused of tying neurodivergent worker to GRILL'after saying she was too busy to babysit him' I spent my life being ashamed of my elderly father and the alarming age gap between him and my mother. Presley Gerber was discovered dead'in a bedroom' at luxurious rehab facility after going into cardiac arrest Inside soccer legend Thierry Henry's astonishing $25M NYC penthouse... including the grill to end all grills Top lawyer moved on from wife with glamorous younger bad girl who LOVES to gush over him on Instagram... until rock throwing and strangulation incident erupted during walk with baby near $2.2m mansion Meta launches an'evil Tamagotchi': Muse Charm gadget lets you use AI without your phone or computer Meta has launched a new gadget - and fans are comparing it to an'evil Tamagotchi'.

You're viewing the US edition You can switch to the UK or AU homepage at any time using this menu. Terrifying moment California college student narrowly escapes stalker who chases her home and vaults over gate in race to her front door... but police let him walk for infuriating reason Devastating untold story of Presley Gerber's final days: Extremely thin, jittering'like he was on meth' and so out his mind that his voice changed... mom Cindy Crawford tried one last panicked intervention - as reality slipped away Many missed the subtle signs in Prince William and Kate's'united front' that show us what's going on behind the scenes for the royal couple. But I've been studying them for years. Seemingly innocuous rental home in red hot California hotspot hits the market for $6,300... but it's hiding a dark secret that's left a family furious Pet rescue showcased its'incredible' work in adorable photos of cute cats... but owners were hiding a terrifying dark secret Dark new details of infertile influencer Clavicular's alleged Cape Cod rape: Read the damning claims about booze-fueled night at GRANDMA's coastal mansion with underage girl... and his mom's shock reaction Florida teacher under fire as she's accused of trying to'cancel' an 8th grader over anti-woke views Creator of AOC's infamous Tax the Rich dress owes more than $1million for A-list gala featuring Meghan Markle Trump visibly WINCES at roaring military flyover during stone-faced Xi's red carpet welcome - the same treatment he once mocked Obama for Dolly Parton's sister speaks out on family'feud' amid shock clash over late star's estate Wendy's manager, 19, accused of tying neurodivergent worker to GRILL'after saying she was too busy to babysit him' I spent my life being ashamed of my elderly father and the alarming age gap between him and my mother. Presley Gerber was discovered dead'in a bedroom' at luxurious rehab facility after going into cardiac arrest Inside soccer legend Thierry Henry's astonishing $25M NYC penthouse... including the grill to end all grills Top lawyer moved on from wife with glamorous younger bad girl who LOVES to gush over him on Instagram... until rock throwing and strangulation incident erupted during walk with baby near $2.2m mansion Electric car charging just got even faster: Chinese carmaker's EV battery charges in under five minutes - smashing the previous record by 30 seconds Electric car charging just got even faster - as a Chinese carmaker has unveiled a battery that charges in under five minutes.

You're viewing the US edition You can switch to the UK or AU homepage at any time using this menu. 'Uncle George' Clooney rushes to Kaia Gerber's house as his heartbreaking notes to Presley are revealed: Actor in utter agony over death of'second son'... after desperate attempts to save him ended in disaster Nightmare for Kash Patel as hackers'steal data on EVERY FBI agent' and issue chilling Trump threat There's a hidden message in Diana's brother's vengeful new book. No wonder William has kept silent... Harry's role in this is so suspect: MAUREEN CALLAHAN What REALLY goes on in some Equinox steam rooms: Gym insiders reveal eye-popping indecency... secret towel signals used by experimental married men... and clubs with most'aggressive' locker rooms Married father, 56, named as man who jumped off Carnival cruise ship during 15th wedding anniversary trip with wife... as grieving sister shares heartbreaking theory on why he did it A fleeting look in Patrick Clancy's eyes during his 60 Minutes interview sent shockwaves through me... this is the truth about him and his pregnant new wife that must be said: KENNEDY SARAH VINE: My message to the four-times married colossal cad Earl Spencer: People in glass houses shouldn't throw stones Taylor Swift reveals bombshell return to music with new single Patient Zero... after sending fans into MELTDOWN over mysterious countdown NASCAR star admits he got his'a** kicked' in brutal post-race punch-up with rival... after wild video emerged of pit row brawl Why it really DOES matter what time of day you take your blood pressure pills. Truth about Adriana Lima's dramatic face transformation... and why surgeons say it could easily happen to you Trump's six-word little white lie to Zohran Mamdani reveals surprising affection for his old foe Presley Gerber's'inevitable' death: Family insiders reveal life-long secret struggle that sparked'self-destruct' spiral... and mother Cindy Crawford's desperate bid to save him before shock death at 27 Staff at leading AI companies and safety institutions are being signed off from work with stress, according to a new report. According to reporting by the Financial Times, top researchers at OpenAI, Anthropic, Google DeepMind, and the UK's AI Security Institute (AISI), have reported burnout and stress due to developing powerful AIs.

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Only 15% of US-based organizations have reached scaled, orchestrated, multi-agent adoption, according to the latest Deloitte research. J. David Ake/Getty Images Add us as a preferred source Only 15% of organizations have reached scaled multi-agentic orchestration. Most business leaders are reevaluating their business models in light of advances in agentic AI. Scaling agentic AI must begin with sufficient resources to transform the workforce. Most US-based companies are under pressure and working hard to shift from experimenting with AI agents to deploying them in production, according to the latest research from Deloitte .

Hundreds of experts warn the world must prepare now for AI's impact Hundreds of experts have signed an open letter demanding that policymakers and technology leaders "must act now" to prepare for the economic impact of artificial intelligence. The brief letter, released on Monday and organised by Stanford University's digital economy lab, carries the signature of more than 200 economists and AI researchers, including 16 Nobel laureates. "It could bring risks, including large-scale job displacement, as well as opportunities such as major gains in living standards," the statement added. To address this impending disruption, the letter calls for governments and industry to create "incentives, guardrails, and institutions" that ensure AI is complementary to humans and beneficial to society. Anton Korinek, a University of Virginia professor who organised the initiative, stressed that the window for action is narrowing.

Visual prompting (VP) has emerged as a promising parameter-efficient fine-tuning approach for adapting pre-trained vision models to downstream tasks without modifying model parameters. Despite offering advantages like negligible computational overhead and compatibility with black-box models, conventional VP methods typically achieve lower accuracy than other adaptation approaches. Our analysis reveals two critical limitations: the restricted expressivity of simple additive transformation and a tendency toward overfitting when the parameter count increases. To address these challenges, we propose ACAVP (Affine, Color, and Additive Visual Prompting), which enhances VP's expressive power by introducing complementary transformation operations: affine transformation for creating task-specific prompt regions while preserving original image information, and color transformation for emphasizing task-relevant visual features. Additionally, we identify that overfitting is a critical issue in VP training and introduce TrivialAugment as an effective data augmentation, which not only benefits our approach but also significantly improves existing VP methods, with performance gains of up to 12 percentage points on certain datasets. This demonstrates that appropriate data augmentation is universally beneficial for VP training. Extensive experiments across twelve diverse image classification datasets with two different model architectures demonstrate that ACAVP achieves state-of-the-art accuracy among VP methods, surpasses linear probing in average accuracy, and exhibits superior robustness to distribution shifts, all while maintaining minimal computational overhead during inference. Our code is available at https://github.com/s-enmt/ACAVP.

Normalizing Flows excel at modeling a single fixed density, yet many problems across the sciences, such as high energy physics, instead require modeling how that density deforms as a function of continuous parameters: the strength of a physical effect, a calibration constant, or a source of systematic uncertainty. Learning a separate flow for every parameter configuration quickly becomes intractable, since the number of joint settings grows exponentially with the number of parameters. We introduce Factorizable Normalizing Flows (FNFs), which represent the parameter-dependent density as a fixed, high-fidelity flow for a reference configuration composed with a learnable transformation that is polynomial in the parameters and factorized over them. This structure has a practical consequence: each parameter's effect is learned in isolation, from samples in which that parameter alone is varied. The combined response of many parameters is then recovered by summation at inference, without ever sampling their combinatorially large joint space. On a controlled problem with two interpretable deformations applied jointly to the data, the learned transformation reproduces the true deformations and matches the optimal likelihood, while optional interaction terms capture residual correlations when several parameters vary strongly at once. The resulting model is interpretable, scales linearly with the number of parameters, and keeps the likelihood tractable. This provides a general tool for any inference workflow requiring continuous density morphing, and directly enables the next generation of unbinned likelihood fits in high energy physics.