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Russia has used the Oreshnik ballistic missile as part of a massive overnight strike on Ukraine. Four people were killed and 25 others injured in Kyiv on Thursday night, where loud booms could be heard for several hours, setting the sky alight with explosions. It only the second time that Moscow has used the Oreshnik, which was first deployed to hit the central city of Dnipro in November 2024. Russia's defence ministry said the strike was a response to a Ukrainian drone attack on Vladimir Putin's residence in late December, which Kyiv denies carrying out . While the ministry did not specify what had been the Oreshnik's target, shortly before midnight (22:00 GMT) videos began circulating on social media showing numerous explosions on the outskirts of the western city of Lviv.

For the eighth year in a row, the world’s oceans absorbed a record-breaking amount of heat in 2025. It was equivalent to the energy it would take to boil 2 billion Olympic swimming pools.

Fujitsu's physical AI system, which allows robots to move autonomously and in coordination with one another, is showcased at the CES tech show in Las Vegas on Wednesday. The robots are made by external manufacturers. LAS VEGAS - Fujitsu showed off a foundational technology that uses artificial intelligence to develop programs for software defined vehicles (SDV), at the CES tech show in Las Vegas on Wednesday. The Japanese company's technology helps automakers and other customers design software for SDVs, which can upgrade features by updating programs but require a lot of costs and labor to develop. Fujitsu also showcased its digital twin technology, reproducing the city of Las Vegas in virtual space and showing how traffic congestion there can be eased by analyzing data on the movements of people and vehicles.

Could Ukraine hold a presidential election right now? Will Europe use frozen Russian assets to fund war? How can Ukraine rebuild China ties? 'Ukraine is running out of men, money and time' Overnight into Friday, Russia launched a large attack on Ukraine with missiles and drones, killing at least three and injuring 16 people in the capital Kyiv, according to The Associated Press news agency. Kyiv City Military Administration head Tymur Tkachenko reported multiple districts in Kyiv were struck, including Desnyanskyi, where a drone crashed into a building and the first two floors of a residential building were damaged.

Ofcom urged to use'banning' powers over X AI deepfakes The government has urged the regulator Ofcom to use all its powers - up to and including an effective ban - against X over concerns about unlawful AI images created on the site. Ofcom's powers include the ability to obtain a court order to prevent third parties from helping the Elon Musk-owned platform from raising money or from being accessed in the UK. This follows an ongoing backlash against the use of X's AI Grok to digitally remove clothing from images of people. The possibility there could be sexualised images of children raised very specific concerns in government. Addressing concerns over sexualised images of adults and children produced by Grok, Prime Minister Sir Keir Starmer said: This is disgraceful.

Under the UK's Online Safety Act, social media platforms have to act on intimate image abuse, but the government has yet to introduce additional measures such as banning nudifying apps. Under the UK's Online Safety Act, social media platforms have to act on intimate image abuse, but the government has yet to introduce additional measures such as banning nudifying apps. Grok AI: is it legal to produce or post undressed images of people without their consent? Deluge of'nudified' images on social media platform X raises questions about regulation of use of AI technologies The deluge of images of partly clothed women - stripped by the Grok AI tool - on Elon Musk's X has raised further questions over regulation of the technology. Is it legal to produce these images without the subject's consent?

China's humanoids were everywhere at America's top tech show An attendee shakes hands with a PaXini humanoid robot during the annual CES technology show in Las Vegas, Nevada, on Wednesday. One of Tesla CEO Elon Musk's worries was on full display at technology show CES in Las Vegas this week. Chinese-made human-like robots were everywhere across the exhibition floor, playing table tennis, sweeping floors and practicing kung fu. China's latest robotics innovations were delivered to the heart of America's technology showcase, serving a constant reminder of the technological race between the world's two biggest economies. While Santa Clara, California-based Nvidia and Advanced Micro Devices hosted keynotes touting ever faster artificial intelligence chips, a legion of budding Chinese robot creators occupied much humbler booths with machines giving life to the notion of physical AI.

Jonathan Ross told a federal court in December about his professional background, including "hundreds" of encounters with drivers during enforcement actions, according to testimony obtained by WIRED. Jonathan Ross, the Immigration and Customs Enforcement officer identified by multiple news outlets as the federal agent who shot 37-year-old Renee Good in Minneapolis on Wednesday, is a veteran deportation officer in ICE's Enforcement and Removal Operations division, according to sworn testimony from the federal district court in Minnesota obtained by WIRED. A member of a Special Response Team, ICE's version of a SWAT team, he's had duties as a firearms trainer and led teams drawn from multiple federal agencies including the FBI, Ross testified. The testimony stems from a December 2025 trial related to a June incident with parallels to the interaction that led to Good's killing. In June according to Ross's testimony, he led a team seeking to apprehend a man named Roberto Carlos Muñoz-Guatemala, who was on an administrative warrant for being in the United States without authorization.

We prove tight lower bounds for online multicalibration, establishing an information-theoretic separation from marginal calibration. In the general setting where group functions can depend on both context and the learner's predictions, we prove an $Ω(T^{2/3})$ lower bound on expected multicalibration error using just three disjoint binary groups. This matches the upper bounds of Noarov et al. (2025) up to logarithmic factors and exceeds the $O(T^{2/3-\varepsilon})$ upper bound for marginal calibration (Dagan et al., 2025), thereby separating the two problems. We then turn to lower bounds for the more difficult case of group functions that may depend on context but not on the learner's predictions. In this case, we establish an $\widetildeΩ(T^{2/3})$ lower bound for online multicalibration via a $Θ(T)$-sized group family constructed using orthogonal function systems, again matching upper bounds up to logarithmic factors.