Large language models (LLMs) with integrated search tools show strong promise in open-domain question answering (QA), yet they often struggle to produce complete answer set to complex questions such as Which actor from the film Heat won at least one Academy Award?, which requires (1) distinguishing between multiple films sharing the same title and (2) reasoning across a large set of actors to gather and integrate evidence. Existing QA benchmarks rarely evaluate both challenges jointly. To address this, we introduce DeepAmbigQAGen, an automatic data generation pipeline that constructs QA tasks grounded in text corpora and linked knowledge graph, generating natural and verifiable questions that systematically embed name ambiguity and multi-step reasoning. Based on this, we build DeepAmbigQA, a dataset of 3,600 questions requiring multi-hop reasoning and half of them explicit name ambiguity resolving. Experiments reveal that, even state-of-the-art GPT-5 show incomplete answers, achieving only 0.13 exact match on ambiguous questions and 0.21 on non-ambiguous questions. These findings highlight the need for more robust QA systems aimed at information gathering and answer completeness.

The idea of controlling your dreams might sound like the plot of the latest science fiction blockbuster. But this mysterious gift is a reality for around 20 per cent of people, who are able to go on exciting trips in impossible worlds. Depicted in films such as'Inception', lucid dreaming could provide a useful link between the real world and the dream world. Scientists are trying to tap into the potential of lucid dreaming, helping people complete tasks like turning on lights or even driving virtual cars while asleep. Here are three tricks that could allow you to try it for yourself.

By the time I sat down with Christopher Nolan in his posh hotel suite not far from the White House, I guessed that he was tired of Washington, D.C. The day before, he'd toured the Oval Office and had lunch on Capitol Hill. Later that night, I'd watched him receive an award from the Federation for American Scientists, an organization that counts Robert Oppenheimer, the subject of Nolan's most recent film, among its founders. He'd endured a joke, repeated too many times by Senate Majority Leader Chuck Schumer, about the subject of his next film--"It's another biopic: Schumer." The award was sitting on an end table next to Nolan, who was dressed in brown slacks, a gray vest, and a navy suit jacket--his Anglo-formality undimmed by decades spent living in Los Angeles. "It's heavy, and glass, and good for self-defense," he said of the award, while filling his teacup.

The Oppenheimer director, Christopher Nolan, has highlighted the difficulties of applying nuclear weapons-style regulation to artificial intelligence, as he warned that the United Nations had become a "very diminished" force. Nolan told the Guardian J Robert Oppenheimer's call for international control of nuclear weapons had "sort of come true", but there had nonetheless been extensive proliferation of the technology since the "father of the atomic bomb" led the Manhattan project in the second world war. "To look at the international control of nuclear weapons and feel that the same principles could be applied to something that doesn't require massive industrial processes – it's a bit tricky," he said. "International surveillance of nuclear weapons is possible because nuclear weapons are very difficult to build. Oppenheimer spent $2bn and used thousands of people across America to build those first bombs. It's reassuringly difficult to make nuclear weapons and so it's relatively easy to spot when a country is doing that. I don't believe any of that applies to AI."

"Oppenheimer" director Christopher Nolan spoke of the historical significance in artificial intelligence and compared it to the creation of the atomic bomb. Christopher Nolan examines the construction of the atomic bomb in his new film "Oppenheimer," opening in theaters later this moth. The famed British-American director acknowledged the impact artificial intelligence is currently having on the world - similar to the historical impact of the J. Robert Oppenheimer inception of the atomic bomb in the 1940s. "A lot of the AI researchers I talk to right now, they see this as their - they refer to it as the Oppenheimer moment," Nolan told Fox News Digital of AI infiltrating the entertainment industry. "It's really the looking back through Oppenheimer's story and saying, 'Okay, what could have been done differently? What are the responsibilities of people who create technology that can go out and have unintended impacts?'" "Oppenheimer" director Christopher Nolan shared his thoughts on artificial intelligence infiltrating the film industry.

If the world's most famous film directors designed a car, what would it look like? Thanks to artificial intelligence, we now have the answer. A car scrap collection firm based in the UK used DALL-E-2 - an AI platform that creates images based on text inputs - to imagine what cars designed by Wes Anderson, Christopher Nolan, Alfred Hitchcock and James Cameron, among others, would look like. The results show how powerful this particular artificial intelligence system, which was built by OpenAI, can be when given this type of assignment. British-born director Christopher Nolan is recognized for his work on the Batman trilogy as well as films like Interstellar, which explored many quantum physics themes, and the World War II film Dunkirk.

Recent studies on pre-trained language models have demonstrated their ability to capture factual knowledge and applications in knowledge-aware downstream tasks. In this work, we present a language model pre-training framework guided by factual knowledge completion and verification, and use the generative and discriminative approaches cooperatively to learn the model. Particularly, we investigate two learning schemes, named two-tower scheme and pipeline scheme, in training the generator and discriminator with shared parameter. Experimental results on LAMA, a set of zero-shot cloze-style question answering tasks, show that our model contains richer factual knowledge than the conventional pre-trained language models. Furthermore, when fine-tuned and evaluated on the MRQA shared tasks which consists of several machine reading comprehension datasets, our model achieves the state-of-the-art performance, and gains large improvements on NewsQA (+1.26 F1) and TriviaQA (+1.56 F1) over RoBERTa.

Later this Friday, Fortnite players will stow away their guns and kick back for a movie screening. Three of Christopher Nolan's biggest films - The Dark Knight, Inception, and The Prestige - will be shown in the game's Party Royale mode. What you'll see will depend on what country you're in. But why would anyone want to watch a film inside a video game? "The real world is unbeatable, in my opinion," says Darshan Shankar, the founder of Bigscreen VR - a company that lets users watch films together in cinemas created within virtual reality. "Things like Fortnite and Bigscreen don't necessarily replace the awesomeness of a real world cinema," he says, instead it's about being "able to watch things together with people".

We introduce a new operation which can be used to compositionally construct second-order multi-hop templates in a neural model, and evaluate a number of alternative implementations, with different time and memory trade offs. These techniques scale to KBs with millions of entities and tens of millions of triples, and lead to simple models with competitive performance on several learning tasks requiring multi-hop reasoning.