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German drone maker Helsing has enlisted Japanese e-commerce and finance firm Rakuten to help finalize a deal to sell its unmanned systems to Japan's army, a spokesperson for Rakuten said on Monday. Japan's Ground Self-Defense Force is currently testing Helsing's HX-2 strike drone, as Tokyo looks to modernize its military and counter an increasingly assertive China. The field tests will run until the end of September, the spokesperson said. Helsing struck an "initial agreement" for the Japanese government to use its systems earlier this year, a spokesperson for the Munich-based company said, adding that the move was made possible by an unnamed "local brokerage partner." Japan's Ground Self-Defense Force did not immediately respond to a request for comment.

From branding irons to iris scans, the ancient business of proving who you are has never been stranger--or more lucrative. There are now more bots online than people. The challenge used to be telling who was a person from who was a bot; today, the challenge is telling good bots and bad bots apart--with humanity in the lurch. Three summers ago, Sam Altman, the C.E.O. of OpenAI, posted on X a fifteen-second video of dozens of people--mostly young, veiled in face masks, and wearing super-hip, white-soled sneakers--waiting in a long, snaky line in the traffic-light-lit but otherwise dusky dark of an unnamed city that appears to have been Nagoya, Japan. "Crazy lines around the world," Altman wrote. "One person getting verified every 8 seconds now." In the video, the camera pans to the front of the line, where a woman is kneeling on the sidewalk as if in prayer, staring into a gleaming silver orb about the size of a volleyball that has been propped up on a stand about the height of an end table. It looks like the eyeball of a giant robot Cyclops. She is bowing before an artificially intelligent machine, seeking a certification that she is human. That eyeball, which is known as the Orb, was developed by Tools for Humanity, a San Francisco-and Munich-based tech company that Altman founded in 2019 with a twenty-five-year-old German physicist named Alex Blania, who is now its C.E.O.

The ruling holds that a company that designs, trains, operates, and manages an AI system must assume legal liability for any damages caused by the responses it generates. A local court in Germany has issued a ruling that could reshape the operation of search engines and artificial-intelligence-based chatbots worldwide. The Munich Regional Court preliminarily ruled that Google is liable for a series of false statements generated by its AI Overviews feature, requiring the company to prevent the dissemination of erroneous or inaccurate claims through its search engine. The ruling stems from a case first reported by the Decoder, in which two publishers discovered that Google's AI-generated summaries linked them, in certain searches, to questionable business practices, scams, and subscription-related frauds, without any basis for doing so. Earlier this year, the affected companies sent the tech giant a cease-and-desist letter, according to the report.

Inverse optimization (IO) seeks to infer the parameters of a decision-maker's objective from observed context--action data. We study noiseless IO, where demonstrations are generated by a ground-truth objective. We provide a high-probability ${O}(\frac{d}{T})$ generalization bound for the induced action set, where $d$ is the number of unknown parameters and $T$ is the size of the training dataset. We strengthen these guarantees under additional conditions that ensure uniqueness of the chosen action, bringing our IO guarantees in line with best-arm identification results in the bandit literature. We further show that the ${O}(\frac{d}{T})$ rate is tight over all consistent estimators considered here, and extend the result to both instantaneous and cumulative regret. Notably, the resulting regret lower bound matches the corresponding upper bounds in the adversarial setting, indicating that the stochastic IO setting is effectively adversarial for the class of estimators studied here. Finally, we propose a parameter-free algorithm with lower per-iteration complexity than generic solvers. Experiments validate the predicted rates and illustrate the tightness of our bounds.

Drone incursions over U.S. military bases reveal critical vulnerabilities in civilian infrastructure, from airports to energy grids, that experts say remain dangerously exposed.

'She had big googly eyes and was wearing a red hat knitted by one of the careworkers' Emma the Social Robot by Paula Hornickel. 'She had big googly eyes and was wearing a red hat knitted by one of the careworkers' Emma the Social Robot by Paula Hornickel. 'The first resident that Emma - a social robot - was introduced to was called Peter. After that, Emma assumed they were all called Peter, which everyone found hilarious. O ne morning in July 2025, I arrived in the small, quiet town of Albershausen in south-west Germany.