Reduced-order modeling of high-dimensional dynamical systems is often hindered by the non-Markovian closure term that represents the effect of unresolved variables on the resolved dynamics. Inspired by the Mori--Zwanzig formalism, in which the closure takes the form of a memory functional of the resolved trajectory, we recast closure modeling as a sequence modeling problem and propose the Mamba-Assisted Closure (MAC) framework: a Mamba-based sequence model, trained to predict the closure from the resolved trajectory, is coupled with the reduced-order governing equations through a numerical integrator to advance the resolved variables in time. A key feature of the framework is its exploitation of the dual representation of state-space models -- the model is trained in a sequence-to-sequence fashion via the convolutional form, and deployed for step-by-step autoregressive rollout via the recurrent form, yielding both efficient long-trajectory training and constant per-step inference cost. On the viscous Burgers' equation and the chaotic two-scale Lorenz '96 system, the MAC model substantially outperforms the Markovian reduced-order model, the GRU-based sequence model, and the Wilks method in predictive accuracy and long-time rollout stability.

Plus: The EU has proposed new legislation to end its Big Tech dependence. Most days in her chambers, Judge Maritza Braswell, a federal magistrate judge in Colorado, sifts through stacks of documents written by people without a lawyer. The number of these filings has more than doubled compared to before 2023. She puts that jump down to AI. But while AI appears to be expanding access to justice, it doesn't seem to be improving people's chances of winning. Judges are starting to question what rights and duties chatbots should have as they stand in for lawyers.

ChatGPT now processes around 2.5 billion queries every day UN researchers are urging people to be less polite to artificial intelligences after a report found that cutting words from prompts could reduce ChatGPT's energy consumption by up to 25 per cent. Removing "please", "thank you" and other unnecessary words from AI prompts could save 87 to 98 gigawatt-hours of electricity per year, the report from the UN University Institute for Water, Environment and Health (UNU-INWEH) found. That is the equivalent of the annual residential electricity use of up to 760,000 people in sub-Saharan Africa. 'Flashes of brilliance and frustration': I let an AI agent run my day To reduce their energy consumption and carbon footprint, people should write concise prompts, avoid getting sucked into conversation loops and refrain from starting relationships with AI, the researchers said. "We are not saying be rude to your AI. But don't fall into the interaction trap and don't go falling in love with it either," says Kaveh Madani at UNU-INWEH.

Rescuers work at the site of an apartment building hit by a Russian drone strike in Zaporizhzhia, Ukraine, on Saturday. Ukraine and Russia traded aerial attacks on Saturday as President Volodymyr Zelenskyy held what he called a special meeting on next steps with top aides. A Ukrainian drone struck the machine room building of one of power units at the Russian-occupied Zaporizhzhia nuclear power plant in southeastern Ukraine on Saturday afternoon, causing unspecified damage, Interfax reported, citing Rosatom Chief Executive Officer Alexey Likhachev. Core equipment wasn't damaged, he said. Ukraine's southern military command denied any strikes, saying its military personnel "act exclusively within the framework of international humanitarian law and are aware of the consequences of any actions against nuclear facilities." In a post on Facebook late Saturday, it added, "It is the Russian Federation that has illegally kept the Zaporizhzhia Nuclear Power Plant under military control since March 2022, turning a civilian nuclear facility into an element of military infrastructure."

There is plenty of intriguing sci-fi on offer this month, whether it's solar-powered cities from Adrian Tchaikovsky or a strange future from M. John Harrison A father mysteriously slips through time in Joseph Eckert's Writing this as the UK swelters under an unprecedented May heatwave, perhaps it's small wonder that so many science-fiction authors are currently imagining miserable versions of an overheated future in which their characters are struggling to survive. I'm intrigued by the sound of sci-fi legend M. John Harrison's upcoming take on a dystopian future, but if post-apocalyptic hellscapes aren't your thing, I'm also happy to report that there are other options for sci-fi fans this month. Next, I'm going to explore Isabel J. Kim's sci-fi spin on immigration,, as soon as I can get my hands on it. I am excited about this book: M. John Harrison is a really classy writer, winner of all sorts of awards, and his latest novel sounds right up my street. It's set in a future years after an obscure "crisis" changed everything, in a world where the seas are full of new creatures.

Ukraine has launched coordinated drone attacks on Russian energy infrastructure across multiple regions overnight. The most significant strike hit Taganrog, Rostov Oblast, where a major port fire broke out after drones hit a tanker, fuel tank and administrative building, Russia's RIA Novosti state media agency reported. "A tanker, a fuel tank, and an administrative building caught fire at the port of Taganrog as a result of a drone attack," Slyusar wrote. "According to preliminary information, there are no casualties. The information is being clarified."

Umpire Dan Bellino's baffling foul tip call on Seiya Suzuki renews calls for robot review in MLB Dakich: sports media has created an'industry' out of complaining about white athletes like Caitlin Clark Greg Sankey insists SEC is'strongest league' despite Big Ten winning three straight national championships Phillies look to upset Dodgers behind Zack Wheeler as Philadelphia's turnaround continues in LA Joey McGuire calls Steve Sarkisian's bluff, dares Texas to play Texas Tech in Week 1 Rams troublemaker WR Puka Nacua says he's a changed man after biting incident and stint in rehab Chiefs have no plans to release Rashee Rice and see jail time as a'life lesson' opportunity Dr Oz: Is this a flaw or a feature? Father Mike Schmitz: Pope Leo XIV wants this world view in line with humanity's good Pompeo warns Iran will rebuild nuclear facilities'the moment' it gets the chance Purple Heart recipient speaks out after Graham Platner's controversial remarks'Chipotle Karen' caught hurling burrito bowl at worker's face Oklahoma City is -162 on the moneyline and -3.5 favorites with the total set at 212.5 as of Friday afternoon Despite getting to a Game 7, the 2026 Western Conference Finals between the San Antonio Spurs and Oklahoma City Thunder haven't lived up to the Game 1 double-overtime instant classic. While the winning team has alternated over the past four games, the margin has been at least 13 points. Plus, Oklahoma City's flopping has been the biggest storyline of the conference finals, which is a bummer for us die-hard NBA fans. However, that will be mostly forgotten if the Spurs-Thunder series finale is another thriller.

Umpire Dan Bellino's baffling foul tip call on Seiya Suzuki renews calls for robot review in MLB Dakich: sports media has created an'industry' out of complaining about white athletes like Caitlin Clark Greg Sankey insists SEC is'strongest league' despite Big Ten winning three straight national championships Phillies look to upset Dodgers behind Zack Wheeler as Philadelphia's turnaround continues in LA Joey McGuire calls Steve Sarkisian's bluff, dares Texas to play Texas Tech in Week 1 Rams troublemaker WR Puka Nacua says he's a changed man after biting incident and stint in rehab Chiefs have no plans to release Rashee Rice and see jail time as a'life lesson' opportunity Diamondbacks fans catch same player's home run on back-to-back nights after showing up on the wrong date Dr Oz: Is this a flaw or a feature? Father Mike Schmitz: Pope Leo XIV wants this world view in line with humanity's good Pompeo warns Iran will rebuild nuclear facilities'the moment' it gets the chance Purple Heart recipient speaks out after Graham Platner's controversial remarks'Chipotle Karen' caught hurling burrito bowl at worker's face The Carolina Hurricanes are in the Eastern Conference Final for the second straight season and the fourth of Rod Brind'Amour's tenure behind the bench, and they've got the chance to close things out in Game 5 against the Montreal Canadiens. Of course, teams coming into Game 5 with a 3-1 lead are historically almost guaranteed to move on to the Stanley Cup Final; the Canes are not going to get ahead of their skis. Hurricanes forward Jackson Blake, who scored the OT-winner to sweep the Philadelphia Flyers and send Carolina to the conference final, talked about the need to focus on the game tonight and not start thinking ahead to the Western Conference Champion Vegas Golden Knights. It's exciting for sure, Blake said.

Taiyo Yuden sees'scary' levels of AI parts demand risking supply chain Multilayer ceramic capacitors, which are tiny components that regulate and stabilize power flow in electronic devices, are becoming a growing bottleneck in the construction of artificial intelligence data centers. Taiyo Yuden is fielding "scary" levels of demand for its high-end artificial intelligence server components, stretching capacity and increasing the risk of supply chain hiccups. The Tokyo-based company, which makes multilayer ceramic capacitors, will likely need to accelerate spending to expand output capacity, Chief Executive Officer Katsuya Sase said in an interview. MLCCs, which are tiny components that regulate and stabilize power flow in electronic devices, are becoming a growing bottleneck in the construction of artificial intelligence data centers. Taiyo Yuden and Murata Manufacturing comprise the bulk of the world's supplies of high-end MLCCs. "The volumes we are seeing today -- it's scary," Sase said.

Conformal prediction (CP) and its extension, conformal risk control (CRC), are established frameworks for quantifying uncertainty in supervised machine learning through formal guarantees. However, recent breakthroughs in artificial intelligence (AI) have been driven by unsupervised generative models, such as large language models (LLMs) and image generators, which are not directly compatible with CP or CRC. In this work we introduce conformal generation (Conf-Gen), a general framework adapting CRC to generative tasks while relaxing its theoretical assumptions. Conf-Gen unifies and generalizes previous attempts to apply CP to LLMs, and extends conformal methodology to entirely new domains. We demonstrate the flexibility of Conf-Gen through some novel applications, including obtaining conformal guarantees on: image generators producing non-memorized images, conversational AI systems having asked enough clarifying questions, and the output of AI agents being correct.