Zelensky says US intelligence sharing'works now' after talks with Trump envoy in Oslo To play this video you need to enable JavaScript in your browser. Ukraine's President Volodymyr Zelensky has said US intelligence sharing on deadly Russian missile attacks works now after talks with President Donald Trump's special envoy Steve Witkoff. The meeting in Oslo came after accusations by Kyiv that Washington was withholding key intelligence - a claim rejected as scandalous by US Secretary of State Marco Rubio. Finnish President Alexander Stubb, who also took part in the talks, said genuine progress was made on proposals to achieve peace but gave no details and warned that patience would be needed. Zelensky and his European allies said it was now up to Russia to respond to the proposals agreed in Oslo when Witkoff arrives in St Petersburg on Wednesday.

Is the war entering a new phase? Ukrainian President Volodymyr Zelenskyy is set to hold talks with United States special envoy Steve Witkoff and European leaders in Norway, aimed at ending the war with Russia. The prime ministers of Norway and Finland will attend the talks in Oslo on Tuesday, while President Donald Trump's son-in-law Jared Kushner is expected to attend remotely because of illness. Norwegian Prime Minister Jonas Gahr Store said Zelenskyy requested that Witkoff and Kushner participate in Tuesday's discussions. In a post on X before the talks, Zelenskyy said he had engaged in a "substantive conversation" with US Secretary of State Marco Rubio about missile interceptors, intelligence sharing and Starlink, a satellite internet service owned by Elon Musk's SpaceX.

To play this video you need to enable JavaScript in your browser. People across Norway paid tribute to the nation's late King Harald who died in the early hours of Friday morning at the age of 89 after 35 years on the throne. Mourners gathered outside of the Royal Palace to lay flowers and remember him while his son, King Haakon VIII, officially succeeded him and met with his government. Harald had been treated at the national hospital in Oslo for a rare blood condition. On Friday evening, hospital staff and crowds gathered on the streets as the late king's coffin was moved from the hospital to the Royal Palace.

Norwegian crown princess's son found guilty of two counts of rape Marius Borg Høiby, the 29-year-old son of Norway's Crown Princess Mette-Marit, has been found guilty of two counts of rape and given four years in prison. The three judges in courtroom 250 at Oslo District Court cleared him of two other counts of rape, but found him guilty of many of the other offences of which he had been accused. Høiby was not in court for the verdict, but joined the session via video link. Prosecutors had called for Høiby to be given seven years and seven months in prison. His defence lawyers had called for a lesser term of 18 months and can appeal against the verdict.

This post contains a list of the AI-related seminars that are scheduled to take place between 2 April and 31 May 2026. All events detailed here are free and open for anyone to attend virtually. What Do Our Benchmarks Actually Measure? Vukosi Marivate (University of Pretoria) University of Michigan Zoom link is here . Optimization Over Trained Neural Networks: What, Why, and How? Thiago Serra Azevedo Silva (University of Iowa) Association of European Operational Research Societies To receive the seminar link, sign up to the mailing list .

We propose stepwise variational inference (VI) with vine copulas: a universal VI procedure that combines vine copulas with a novel stepwise estimation procedure of the variational parameters. Vine copulas consist of a nested sequence of trees built from copulas, where more complex latent dependence can be modeled with increasing number of trees. We propose to estimate the vine copula approximate posterior in a stepwise fashion, tree by tree along the vine structure. Further, we show that the usual backward Kullback-Leibler divergence cannot recover the correct parameters in the vine copula model, thus the evidence lower bound is defined based on the Rényi divergence. Finally, an intuitive stopping criterion for adding further trees to the vine eliminates the need to pre-define a complexity parameter of the variational distribution, as required for most other approaches. Thus, our method interpolates between mean-field VI (MFVI) and full latent dependence. In many applications, in particular sparse Gaussian processes, our method is parsimonious with parameters, while outperforming MFVI.

In a place denied access to basic forensic technology--and where people disappear into Israeli detention--the fate of thousands remains unknown. One of them is an autistic teenager. In the early morning dark, Abeer Skaik turned to her husband, Ali Al-Qatta, and said that today would be the day they would find their son. Ali nodded in silence, and she handed him the stack of flyers. Each bore a photograph of 16-year-old Hassan smiling widely, his shoulders loose, wearing a plain red T-shirt. He is looking directly at the camera, unguarded. On top of the page, in large letters, Abeer had written a single word in bold red ink: --an appeal. Abeer watched as Ali stepped into a car with a few close friends and drove away. They started the 30-kilometer trip south, from al-Tuffah, east of Gaza City, to the European Hospital in Khan Younis. They had heard that a group of people detained by Israel, including children, would be released there. The gate was already crowded. Families stood shoulder to shoulder, wrapped in blankets against the cold, clutching photographs and ID cards. Ali distributed the flyers among his friends. When the buses of released detainees arrived, he and the others moved slowly through the narrow gaps between clusters of people. Some of those who had just been released were being pulled into embraces. Ali waited at the edge of each reunion. "Have you seen my son?" he asked. One after another, people shook their heads.

We introduce One-Shot Label-Only (OSLO) membership inference attacks (MIAs), which accurately infer a given sample's membership in a target model's training set with high precision using just a single query, where the target model only returns the predicted hard label. This is in contrast to state-of-the-art label-only attacks which require $\sim6000$ queries, yet get attack precisions lower than OSLO's.

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Niantic's AI spinout is training a new world model using 30 billion images of urban landmarks crowdsourced from players. Pokémon Go was the world's first augmented-reality megahit. Released in 2016 by the Google spinout Niantic, the AR twist on the juggernaut Pokémon franchise fast became a global phenomenon. From Chicago to Oslo to Enoshima, players hit the streets in the urgent hope of catching a Jigglypuff or a Squirtle or (with a huge amount of luck) an ultra-rare Galarian Zapdos hovering just out of reach, superimposed on the everyday world. "Five hundred million people installed that app in 60 days," says Brian McClendon, CTO at Niantic Spatial, an AI company that Niantic spun out in May last year. According to the video-game firm Scopely, which bought Pokémon Go from Niantic at the same time, the game still drew more than 100 million players in 2024, eight years after it launched.