US President Donald Trump has signed an executive order aimed at blocking states from enforcing their own artificial intelligence (AI) regulations. We want to have one central source of approval, Trump told reporters in the Oval Office on Thursday. It will give the Trump administration tools to push back on the most onerous state rules, said White House AI adviser David Sacks. The government will not oppose AI regulations around children's safety, he added. The move marks a win for technology giants who have called for US-wide AI legislation as it could have a major impact on America's goal of leading the fast-developing industry.

Lara Croft in Tomb Raider Catalyst, which will be out in 2027. Lara Croft in Tomb Raider Catalyst, which will be out in 2027. An all-new Croft adventure, Tomb Raider Catalyst, will be released in 2027 - and a remake of the action heroine's first adventure arrives next year After a long break for Lara Croft, a couple of fresh Tomb Raider adventures are on their way. They will be the first new games in the series since 2018, and both will be published by Amazon. Announced at the Game Awards in LA, Tomb Raider Catalyst stars the "charismatic, self-assured, formidable Lara Croft" from the original 1990s games, says game director Will Kerslake.

Google has announced plans to team up with the UK to invite researchers to come up with uses for the tech giant's state-of-the-art quantum chip Willow. It is one of several firms competing to develop a powerful quantum computer - which is seen as an exciting new frontier in the future of computing. Researchers hope they will be able to crack problems in fields such as chemistry and medicine which are impossible for current computers to solve. Professor Paul Stevenson of the University of Surrey - who had no involvement with the agreement - told the BBC it was great news for UK researchers. The collaboration between Google and the UK's national lab for quantum computing means more researchers will get access to the technology.

This paper introduces a new probabilistic framework for supervised learning in neural systems. It is designed to model complex, uncertain systems whose random outputs are strongly non-Gaussian given deterministic inputs. The architecture itself is a random object stochastically generated by a latent anisotropic Gaussian random field defined on a compact, boundaryless, multiply-connected manifold. The goal is to establish a novel conceptual and mathematical framework in which neural architectures are realizations of a geometry-aware, field-driven generative process. Both the neural topology and synaptic weights emerge jointly from a latent random field. A reduced-order parameterization governs the spatial intensity of an inhomogeneous Poisson process on the manifold, from which neuron locations are sampled. Input and output neurons are identified via extremal evaluations of the latent field, while connectivity is established through geodesic proximity and local field affinity. Synaptic weights are conditionally sampled from the field realization, inducing stochastic output responses even for deterministic inputs. To ensure scalability, the architecture is sparsified via percentile-based diffusion masking, yielding geometry-aware sparse connectivity without ad hoc structural assumptions. Supervised learning is formulated as inference on the generative hyperparameters of the latent field, using a negative log-likelihood loss estimated through Monte Carlo sampling from single-observation-per-input datasets. The paper initiates a mathematical analysis of the model, establishing foundational properties such as well-posedness, measurability, and a preliminary analysis of the expressive variability of the induced stochastic mappings, which support its internal coherence and lay the groundwork for a broader theory of geometry-driven stochastic learning.

Abstract--The rapid growth of Web3.0 is transforming the Internet from a centralized structure to decentralized, which empowers users with unprecedented self-sovereignty over their own data. However, in the context of decentralized data access within Web3.0, it is imperative to cope with efficiency concerns caused by the replication of redundant data, as well as security vulnerabilities caused by data inconsistency. T o address these challenges, we develop a Trustworthy Decentralized Cooperative Caching (TDC-Cache) framework for Web3.0 to ensure efficient caching and enhance system resilience against adversarial threats. This framework features a two-layer architecture, wherein the Decentralized Oracle Network (DON) layer serves as a trusted intermediary platform for decentralized caching, bridging the contents from decentralized storage and the content requests from users. In light of the complexity of Web3.0 network topologies and data flows, we propose a Deep Reinforcement Learning-Based Decentralized Caching (DRL-DC) for TDC-Cache to dynamically optimize caching strategies of distributed oracles. Furthermore, we develop a Proof of Cooperative Learning (PoCL) consensus to maintain the consistency of decentralized caching decisions within DON. Experimental results show that, compared with existing approaches, the proposed framework reduces average access latency by 20%, increases the cache hit rate by at most 18%, and improves the average success consensus rate by 10%. Overall, this paper serves as a first foray into the investigation of decentralized caching framework and strategy for Web3.0. HE rapid evolution of Web3.0 is driving the transition from traditional centralized systems to decentralized architectures. Leveraging blockchain, decentralized storage, and smart contracts, Web3.0 empowers users with unprecedented self-sovereignty over their own data through Decentralized Applications (DApps) [1].

Elon Musk attends the Saudi Investment Forum at the Kennedy Center, on 19 November, in Washington DC. Elon Musk attends the Saudi Investment Forum at the Kennedy Center, on 19 November, in Washington DC. President Nayib Bukele entrusting chatbot known for calling itself'MechaHitler' to create'AI-powered' curricula Elon Musk is partnering with the government of El Salvador to bring his artificial intelligence company's chatbot, Grok, to more than 1 million students across the country, according to a Thursday announcement by xAI. Over the next two years, the plan is to "deploy" the chatbot to more than 5,000 public schools in an "AI-powered education program". Over the past year, the chatbot has spewed various antisemitic content, decried "white genocide" and claimed Donald Trump won the 2020 election .

Users of OpenAI's video generation app will soon be able to see their own faces alongside characters from Marvel, Pixar, Star Wars and Disney's animated films, according to a joint announcement from the startup and Disney on Thursday. Perhaps you, Lightning McQueen and Iron Man are all dancing together in the Mos Eisley Cantina. Sora is an app made by OpenAI, the firm behind ChatGPT, which allows users to generate videos of up to 20 seconds through short text prompts. Disney announced that it would invest $1bn in OpenAI and, under a three-year deal perhaps worth even more than that large sum, that it would license about 200 of its iconic characters - from R2-D2 to Stitch - for users to play with in OpenAI's video generation app. Examples of content generated by OpenAI's Sora with Disney properties.

An interpreter broke down in tears at the European Parliament in Brussels while translating for an 11-year-old Ukrainian boy who was injured in a Russian missile strike on a hospital in central Ukraine in 2022. Roman Oleksiv's mother was killed in the attack and he has undergone multiple surgeries since. The aspiring ballroom dancer, who was also the subject of an award-winning film, has also received an award from the Ukraine's President Volodymyr Zelensky. A waterspout is a whirling column of air and mist that can form over oceans, seas or large lakes. 'I don't want to be part of this war machine': Young Germans protest against military service plans Germany is introducing voluntary military service to boost national defences after Russia's full-scale invasion of Ukraine.

Disney has agreed to invest $1bn (£740m) in OpenAI as part of a deal which will let people use many of its iconic characters in the chatbot ChatGPT and video-generation tool Sora. It is the first major studio to license parts of its catalogue to the tech giant, in a move which could have major implications for the studio's future plans. It means fans will be able to generate and share pictures and videos of more than 200 characters from Disney's franchises, including Pixar, Marvel and Star Wars. The move comes as OpenAI faces mounting questions about how its rapidly advancing tech is used - and as anxiety in Hollywood increases over the impact of AI on the creative industries. According to a blog post announcing the news, the list of eligible characters include those from Disney films Zootopia, Moana and Encanto - as well as characters like Star Wars' Luke Skywalker and Marvel's Deadpool.

Mickey Mouse and Minnie Mouse floats at the Magic Kingdom Park at Walt Disney World in Orlando, Florida, on 3 April 2025. Mickey Mouse and Minnie Mouse floats at the Magic Kingdom Park at Walt Disney World in Orlando, Florida, on 3 April 2025. Walt Disney has announced a $1bn equity investment in OpenAI, enabling the AI start-up's Sora video generation tool to use its characters. Users of Sora will be able to generate short, user-prompted social videos that draw on more than 200 Disney, Marvel, Pixar and Star Wars characters as part of a three-year licensing agreement between OpenAI and the entertainment giant. A selection of the videos made by users will also be available for streaming on the Disney+ platform. Bob Iger, Disney's CEO, hailed a deal which paired his firm's "iconic stories and characters" with OpenAI's AI technology.