In its first week, the seventy-ninth edition of the festival unveiled standout new works by James Gray, Paweł Pawlikowski, and Ryûsuke Hamaguchi. Attend the Cannes Film Festival long enough, and you will grow wearily accustomed to the reality that some of the best films to première there are routinely overlooked for prizes. Lee Chang-dong magnificently unsettling psychological chiller, "Burning," failed to ignite the excitement of the 2018 jury. The tragicomic glories of Maren Ade's " Toni Erdmann," from 2016, were just as inexplicably unrewarded. Jurors shut out David Cronenberg's "A History of Violence," in 2005; Hou Hsiao-hsien's "Flowers of Shanghai," in 1998; Krzysztof Kieślowski's "Three Colors: Red," in 1994; Martin Scorsese's "Alice Doesn't Live Here Anymore," in 1975; and--the tradition goes way back--Vittorio De Sica's "Umberto D.," in 1952.

A United States jury has ruled against Elon Musk in his lawsuit against OpenAI, finding the artificial intelligence (AI) company not liable to the world's richest person for having allegedly strayed from its original mission to benefit humanity. In a unanimous verdict on Monday, the jury in Oakland, California US federal court said Musk had brought his case too late. Following the verdict, Musk's lawyer said he reserved the right to appeal, but the judge suggested he may have an uphill battle because whether the statute of limitations ran out before Musk sued was a factual issue. "There's a substantial amount of evidence to support the jury's finding, which is why I was prepared to dismiss on the spot," US District Judge Yvonne Gonzalez Rogers said. Musk was a co-founder of OpenAI, the company that launched in 2015 and went on to create ChatGPT.

After three weeks of testimony and not much deliberation, a jury has ruled against Elon Musk, finding that Sam Altman and Greg Brockman were not liable in the case. The jury found that the statute of limitations had already passed when Musk sued the two executives. Musk filed his lawsuit in 2024, accusing them of stealing a charity following his departure from the AI lab in 2018. Though the jury in the case served only an advisory role, Judge Yvonne Gonzalez Rogers agreed with the jury's ruling. Musk's claims of breach of charitable trust and unjust enrichment are dismissed as untimely, she said according to Though Musk could still appeal the ruling, Rogers told his lawyer she would dismiss an appeal on the spot.

The nine-member panel took only two hours to return a verdict in favor of OpenAI on Monday, which the judge quickly adopted as her own final decision. Elon Musk suffered the worst defeat possible in his legal battle against OpenAI as a federal jury and a judge ruled he waited too long to bring his claims against the AI startup and its top executives, Sam Altman and Greg Brockman. The jury's decision was a nonbinding recommendation sent to US district judge Yvonne Gonzalez Rogers, though she immediately accepted it on Monday as her own, making it final. The nine-member panel delivered the unanimous verdict in an Oakland, California courtroom after deliberating for under two hours. They found that statutes of limitations expired well before Musk filed his lawsuit in 2024.

Is there any way of fighting back? Anthony "Bingy" Arillotta waited years to become a made man in the Genovese crime family, and when at last the call came in August 2003, he followed directions to the letter. According to sworn testimony, Arillotta was summoned to a steak house in the Bronx, where he was made to hand over his cellphone, beeper, and jewelry before being driven to an apartment building. When he got there, he was taken to a small bathroom and strip-searched for electronic devices. For his big meeting with the boss, he was given a bathrobe to wear. Until recently, only spies and criminals had to worry this obsessively about their private statements being picked up by electronic equipment.

Musk v. Altman week 3: Musk and Altman traded blows over each other's credibility. Now the jury will pick a side. In the final week of the Musk v. Altman trial, lawyers attacked the credibility of the two tech leaders. Sam Altman was accused of lying and self-dealing, while Elon Musk was portrayed as a power-seeker trying to control artificial general intelligence. The case unearthed new details about the two arch-rivals and OpenAI's contested nonprofit status, as well as a golden trophy of a donkey's ass awarded to an employee who challenged Musk. Michelle Kim, who's also a lawyer, has been in court throughout the Musk v. Altman trial.

ANA President and CEO Koji Shibata speaks during a news conference in Tokyo on April 30. Many major Japanese companies, namely electronics makers, enjoyed rosy earnings in the year ended in March thanks to significant artificial intelligence-linked investment worldwide, but they are looking ahead with caution amid high costs for fuel and materials spurred by the war in Iran. Chipmaker Kioxia saw its group net profit double from the previous year to an all-time high of ¥554.4 billion ($3.48 billion). President and CEO Hiroo Ota described the financial performance as a "historic feat." Kioxia benefited from rising demand for memory chips amid a rush to build more data centers due to the growing use of AI.

Thailand risks losing ground to regional rivals such as Vietnam and Indonesia, which have moved more aggressively to streamline regulatory regimes and court foreign capital. Thai Prime Minister Anutin Charnvirakul's government plans a sweeping reform of more than 7,000 business regulations, aiming to cut bureaucratic hurdles and accelerate investment as it tries to compete for global capital. The planned rollback of ministerial rules and secondary regulations, many of which have accumulated into a significant burden on companies, marks a concerted push to reposition Thailand as a more competitive destination for multinational firms reconfiguring supply chains. The effort was detailed in a government statement Monday and comes as Thailand risks losing ground to regional rivals such as Vietnam and Indonesia, which have moved more aggressively to streamline regulatory regimes and court foreign capital. "Regulations intended to guide have, in practice, become costs," said government spokeswoman Rachada Dhnadirek.

Shares are up more than 300% this year for the Tokyo-based company. Kioxia Holdings' shares were untraded in a glut of buy orders Monday morning after the supplier of storage for artificial intelligence data centers reported soaring profit and gave an outlook that trounced expectations. The Tokyo-based company said it expects to earn an operating profit of ¥1.3 trillion ($8.2 billion) during the June quarter, above the record profit it earned for the full year ended March. Its quarterly profit also surged past expectations, surpassing that of Toyota's, making Kioxia one of Japan's most profitable businesses. Kioxia's shares are up more than 300% this year.

Survival analysis provides a powerful statistical framework for modeling time-to-event outcomes in the presence of censoring. However, selecting an appropriate estimator from the many specialized survival approaches often requires substantial methodological and domain expertise. We introduce SurvivalPFN, a prior-data fitted network that amortizes Bayesian inference for censored observations through in-context learning. SurvivalPFN is pretrained on a diverse family of synthetic, identifiable, and right-censored data-generating processes, enabling it to amortize survival analysis in a single forward pass during inference. As a result, the model adapts to the effective complexity of each dataset without task-specific training or hyperparameter tuning, avoids restrictive parametric assumptions, and produces calibrated survival distributions. In a large-scale benchmark spanning 61 datasets, 21 methods, and 5 evaluation metrics, SurvivalPFN achieves strong predictive performance and often improves upon established survival models. These results suggest that SurvivalPFN offers a principled and practical foundation model for survival analysis, with potential applications in high-impact domains such as healthcare, finance, and engineering (https://github.com/rgklab/SurvivalPFN).