The digital age sings a seductive song of progress, yet a deliberate erasure echoes within its circuits. We stand at a crossroads, where technology, particularly the promise of artificial intelligence, threatens both to illuminate and to obliterate. Whose perspectives will shape, and whose will be erased from, the future we build? AI, in particular, has become the latest battleground in a culture war that oscillates between unchecked techno-optimism and dystopian fear. We are told, on one hand, that AI will save us – from disease, inefficiency, ignorance – on the other, that it will replace us, dominate us, erase us.

Cisco has released a "2025 Data Privacy Benchmark Study" that looks at the privacy challenges companies face with the rise of artificial intelligence. It offers practical insights for businesses that want to integrate AI while keeping privacy front and center. The study gathered opinions from 2,600 privacy and security professionals across 12 countries. A key finding is that most companies (86%) support privacy laws, citing a "positive" impact on their business operations. Although compliance can be costly, 96% of organizations reported that the benefits significantly outweigh the investment.

Microsoft owner and founder Bill Gates poses outdoors with Microsoft's first laptop in 1986. Microsoft is celebrating its 50th birthday this week. I've been a keenly interested observer for most of that history. I started writing about Microsoft technologies as a full-time job more than three decades ago, and I was an enthusiastic early adopter of the company's products for a decade before that. Thinking back on that history brings back a flood of memories. When one talks about Microsoft, it's tempting (and easy!) to focus on the numbers and the milestones. You will be bombarded with timelines and charts this week, I guarantee. Also: Microsoft's free AI skills training'Fest' starts soon - how to sign up Those numbers are important, of course, but for me they're mostly markers, small flags thrown down to mark the ebb and flow of a company that has genuinely changed the world as we know it.

Generative AI, agentic AI, and other emerging technologies are morphing companies and driving businesses to rethink organizational structures and traditional roles. The research suggests current IT processes will not allow businesses to stay ahead of technology disruption, so even though IT continues to play a key role, advising the C-suite and guiding technology deployments across the organization, there is a need for IT to pivot away from traditional operating models towards specialized services focused on delivering value at the speed of need. A technology-first focus across the C-suite means answering the following questions: CEO -- how do I use technology to drive growth?; CIO -- how do I use technology to deliver value to the business?; CXO -- how do I use technology to make my function more productive and efficient? Also: ChatGPT's subscribers and revenue soar in 2025 - here's why Rethinking technology and the role of IT will drive a shift from the traditional model to a business technology-focused model.

Novelists Kate Mosse and Tracy Chevalier as well as poet and former Royal Society of Literature chair Daljit Nagra will be among those in attendance outside the company's King's Cross office. Protesters will meet at Granary Square at 1.30pm and a letter to Meta from the Society of Authors (SoA) will be hand-delivered at 1.45pm. It will also be sent to Meta headquarters in the US. Earlier this year, a US court filing alleged that Meta CEO Mark Zuckerberg approved the company's use of a notorious "shadow library", LibGen, which contains more than 7.5 million books. Last month, the Atlantic republished a searchable database of the titles contained in LibGen, through which many authors discovered their works may have been used to train Meta's AI models.

One person was killed and two others injured in a Russian overnight attack on southeast Ukraine's Zaporizhia region, Regional Governor Ivan Fedorov said. A Russian ballistic missile strike on Ukraine's Kryvyi Rih killed at least four people and injured 14 others, including two children, Ukrainian authorities said. An infant, a seven-year-old boy and six others were also injured in a drone attack on Ukraine's Kharkiv region, said Oleh Syniehubov, the region's governor. Kharkiv's Mayor Ihor Terekhov said 15 drone strikes were carried out in the region. At least 60 people were forced to evacuate from their homes in the Russian city of Kursk after falling debris from intercepted Ukrainian drones hit their apartment buildings, acting governor, Alexander Khinshtein, said.

The'Dimension 20' cast chooses their ultimate Intrepid Heroes squad Mashable Tech Science Life Social Good Entertainment Deals Shopping Games Search Cancel * * Search Result Tech Apps & Software Artificial Intelligence Cybersecurity Cryptocurrency Mobile Smart Home Social Media Tech Industry Transportation All Tech Science Space Climate Change Environment All Science Life Digital Culture Family & Parenting Health & Wellness Sex, Dating & Relationships Sleep Careers Mental Health All Life Social Good Activism Gender LGBTQ Racial Justice Sustainability Politics All Social Good Entertainment Games Movies Podcasts TV Shows Watch Guides All Entertainment SHOP THE BEST Laptops Budget Laptops Dating Apps Sexting Apps Hookup Apps VPNs Robot Vaccuums Robot Vaccum & Mop Headphones Speakers Kindles Gift Guides Mashable Choice Mashable Selects All Sex, Dating & Relationships All Laptops All Headphones All Robot Vacuums All VPN All Shopping Games Product Reviews Adult Friend Finder Bumble Premium Tinder Platinum Kindle Paperwhite PS5 vs PS5 Slim All Reviews All Shopping Deals Newsletters VIDEOS Mashable Shows All Videos Home Entertainment The'Dimension 20' cast chooses their ultimate Intrepid Heroes squad "I'm locked in in a way that I don't know how fun I'm going to be in this interview." By Mark Stetson and Belen Edwards Belen Edwards Entertainment Reporter Belen Edwards is an Entertainment Reporter at Mashable. She covers movies and TV with a focus on fantasy and science fiction, adaptations, animation, and more nerdy goodness. Read Full Bio on April 2, 2025 Share on Facebook Share on Twitter Share on Flipboard Watch Next The'Cobra Kai' cast chooses their ultimate'Karate Kid' squad 4:52 The'Dimension 20' cast reveal which campaign they would most like to revisit 8:48 'Dimension 20' heads to the wrestling ring in'Titan Takedown' trailer Amy Schumer and the'Kinda Pregnant' cast allow a Paper Magic 8 Ball to interview them 5:08 The Dimension 20 cast (Brennan Lee Mulligan, Ally Beardsley, Lou Wilson, Siobhan Thompson, and Zac Oyama) locked in to draft their ultimate teams of characters from Intrepid Heroes campaigns.Which PC will be the first pick? Which cast members betray each other in order to get the characters they want?

Sumitomo Mitsui Banking is tapping Fujitsu's artificial intelligence models to bolster its advisory services for customers grappling with rising wages and materials costs. The banking arm of Sumitomo Mitsui Financial Group is in talks to provide corporate client data to Fujitsu to run through the IT company's multimodal machine learning tools to make business forecasts, according to people familiar with the matter. The AI-inferred demand predictions would help some of the bank's biggest customers make key decisions from staffing to procurement to capital spending and financing, the people said, asking not to be named discussing nonpublic information. The two companies will soon sign a basic agreement, they said. The move would be a rare instance of a Japanese bank allowing another company access to sensitive customer data, such as store-by-store visitor and sales numbers.

The behavior of the random feature model in the high-dimensional regression framework has become a popular issue of interest in the machine learning literature}. This model is generally considered for feature vectors $x_i = \Sigma^{1/2} x_i'$, where $x_i'$ is a random vector made of independent and identically distributed (iid) entries, and $\Sigma$ is a positive definite matrix representing the covariance of the features. In this paper, we move beyond {\CB this standard assumption by studying the performances of the random features model in the setting of non-iid feature vectors}. Our approach is related to the analysis of the spectrum of large random matrices through random matrix theory (RMT) {\CB and free probability} results. We turn to the analysis of non-iid data by using the notion of variance profile {\CB which} is {\CB well studied in RMT.} Our main contribution is then the study of the limits of the training and {\CB prediction} risks associated to the ridge estimator in the random features model when its dimensions grow. We provide asymptotic equivalents of these risks that capture the behavior of ridge regression with random features in a {\CB high-dimensional} framework. These asymptotic equivalents, {\CB which prove to be sharp in numerical experiments}, are retrieved by adapting, to our setting, established results from operator-valued free probability theory. Moreover, {\CB for various classes of random feature vectors that have not been considered so far in the literature}, our approach allows to show the appearance of the double descent phenomenon when the ridge regularization parameter is small enough.

Knowledge Graph Completion with Mixed Geometry Tensor Factorization Viacheslav Yusupov Maxim Rakhuba Evgeny Frolov HSE University HSE University AIRI HSE University Abstract In this paper, we propose a new geometric approach for knowledge graph completion via low rank tensor approximation. We augment a pretrained and well-established Euclidean model based on a Tucker tensor decomposition with a novel hyperbolic interaction term. This correction enables more nuanced capturing of distributional properties in data better aligned with real-world knowledge graphs. By combining two geometries together, our approach improves expressivity of the resulting model achieving new state-of-the-art link prediction accuracy with a significantly lower number of parameters compared to the previous Euclidean and hyperbolic models. 1 INTRODUCTION Most of the information in the world can be expressed in terms of entities and the relationships between them. This information is effectively represented in the form of a knowledge graph (d'Amato, 2021; Peng et al., 2023), which serves as a repository for storing various forms of relational data with their interconnections. Particular examples include storing user profiles on social networking platforms (Xu et al., 2018), organizing Internet resources and the links between them, constructing knowledge bases that capture user preferences to enhance the functionality of recommender systems (Wang et al., 2019a; Guo et al., 2020). With the recent emergence of large language models (LLM), knowledge graphs have become an essential tool for improving the consistency and trustworthiness of linguis-Proceedings of the 28 th International Conference on Artificial Intelligence and Statistics (AISTATS) 2025, Mai Khao, Thailand. Among notable examples of their application are fact checking (Pan et al., 2024), hallucinations mitigation (Agrawal et al., 2023), retrieval-augmented generation (Lewis et al., 2020), and generation of corpus for LLM pretraining (Agarwal et al., 2021). This utilization underscores the versatility and utility of knowledge graphs in managing complex datasets and facilitating the manipulation of interconnected information in various domains and downstream tasks. On the other hand, knowledge graphs may present an incomplete view of the world. Relations can evolve and change over time, be subject to errors, processing limitations, and gaps in available information.