Warner Music Group (WMG) will begin an artificial intelligence (AI) music venture with technology start-up Suno - a year after it sued the firm in a landmark case. As part of the settlement agreement struck between the two firms, Warner will let users create AI-generated music on Suno using the voices, names and likeness of artists who opt-in to the programme. The record label, which represents artists like Dua Lipa, Coldplay and Ed Sheeran, was among several music giants like Sony Music that sued Suno and a similar platform called Udio. AI-generated content has been controversial, with many artists voicing concerns that it could undermine human songwriters. Starting next year, Suno will roll out new advanced and licensed models to its generative-AI music platform, which allows users to create music based on simple descriptions, said Warner in a statement .

What is in the 28-point US plan for Ukraine? Why is Europe opposing Trump's peace plan? Is the fall of Pokrovsk inevitable? 'A corruption scandal may well end the Ukraine war' At least 18 Ukrainians have been wounded in Russian drone attacks on the Zaporizhzhia area as tens of thousands of invading troops continue their advance on the southeastern region. Ukraine says it supports the "essence" of a United States plan to end its war with Russia, as US President Donald Trump says "progress" is being made and dispatches special envoy Steve Witkoff to Russia for talks with President Vladimir Putin.

Google is one of the few companies that produces what the industry calls the full stack in computing, and it has a data goldmine for constructing AI models from its search index, Android phones and YouTube. Since the launch of ChatGPT three years ago, analysts and technologists -- even a Google engineer and the company's former chief executive -- have declared Google behind in the high-stakes race to develop artificial intelligence. The internet giant has released new AI software and struck deals, such as a chip tie-up with Anthropic PBC, that have reassured investors the company won't easily lose to ChatGPT creator OpenAI and other rivals. Google's newest multipurpose model, Gemini 3, won immediate praise for its capabilities in reasoning and coding, as well as niche tasks that have tripped up AI chatbots. Google's cloud business, once an also-ran, is growing steadily, thanks in part to the global rush to develop AI services and demand for compute.

The Heckman selection model is one of the most well-renounced econometric models in the analysis of data with sample selection. This model is designed to rectify sample selection biases based on the assumption of bivariate normal error terms. However, real data diverge from this assumption in the presence of heavy tails and/or atypical observations. Recently, this assumption has been relaxed via a more flexible Student's t-distribution, which has appealing statistical properties. This paper introduces a novel Heckman selection model using a bivariate contaminated normal distribution for the error terms. We present an efficient ECM algorithm for parameter estimation with closed-form expressions at the E-step based on truncated multinormal distribution formulas. The identifiability of the proposed model is also discussed, and its properties have been examined. Through simulation studies, we compare our proposed model with the normal and Student's t counterparts and investigate the finite-sample properties and the variation in missing rate. Results obtained from two real data analyses showcase the usefulness and effectiveness of our model. The proposed algorithms are implemented in the R package HeckmanEM.

The ever-increasing number of Android devices and the accelerated evolution of malware, reaching over 35 million samples by 2024, highlight the critical importance of effective detection methods. Attackers are now using Artificial Intelligence to create sophisticated malware variations that can easily evade traditional detection techniques. Although machine learning has shown promise in malware classification, its success relies heavily on the availability of up-to-date, high-quality datasets. The scarcity and high cost of obtaining and labeling real malware samples presents significant challenges in developing robust detection models. In this paper, we propose MalSynGen, a Malware Synthetic Data Generation methodology that uses a conditional Generative Adversarial Network (cGAN) to generate synthetic tabular data. This data preserves the statistical properties of real-world data and improves the performance of Android malware classifiers. We evaluated the effectiveness of this approach using various datasets and metrics that assess the fidelity of the generated data, its utility in classification, and the computational efficiency of the process. Our experiments demonstrate that MalSynGen can generalize across different datasets, providing a viable solution to address the issues of obsolescence and low quality data in malware detection. With approximately 3 billion Android devices in operation worldwide [1], the mobile cybersecurity landscape faces formidable challenges. In 2024 alone, Kaspersky reported over 33.3 million cyberattacks targeting smartphone users globally, encompassing diverse forms of malware and unwanted software [2]. Adding to this problem, attackers are using Artificial Intelligence (AI) to rapidly generate new malware variants by exploiting patterns learned from existing malware [3].

LLM-powered coding agents, which operate in iterative loops (turns) to solve software engineering tasks, are becoming increasingly powerful. However, their practical deployment is hindered by significant and unpredictable costs. This challenge arises from a combination of factors: quadratically growing token counts with each turn, the high price of models, the large number of turns required for real-world tasks, and the tendency of agents to take inefficient or unnecessary actions. While existing research focuses on optimizing individual turns, the strategic control of the total number of turns remains an underexplored area for managing agent performance and cost. To address this gap, we conduct a comprehensive empirical study on SWE-bench using three state-of-the-art models and evaluate the impact of three distinct turn-control strategies: an unrestricted baseline, a fixed-turn limit with reminders, and a novel dynamic-turn strategy that grants extensions on-demand. Our findings first reveal a fundamental trade-off in the unrestricted setting, where no single model excels across performance, cost, and turn efficiency. We then show that a fixed-turn limit, specifically at the 75th percentile of the baseline, serves as a "sweet spot", substantially reducing costs (by 24%-68%) with minimal impact on solve rates. Most significantly, the dynamic-turn strategy consistently outperforms fixed-limit approaches, achieving comparable or better solve rates while further reducing costs by an additional 12%-24% by intelligently allocating resources only to tasks that need them. This work provides the first systematic analysis of turn-control strategies, offering simple yet effective guidelines for developers to balance cost and efficacy. We demonstrate that dynamic resource allocation is a superior, easy-to-implement approach for deploying powerful yet economically viable coding agents.

'Guerilla' liberals form a'Fight Club' to oust Schumer after walking right into Trump's Oval Office trap Billionaire family posts VERY unusual obituary after heir, 40, met violent end at $2.8m hunting lodge following marriage scandal I know why Usha Vance ditched her wedding ring. Most women would do the same if they'd suffered her humiliation: KENNEDY'Canceled' comedian Louis CK devours Hollywood legend's widow on streets of NYC as steamy romance is revealed Troubled 350lbs son of Hollywood icon is forced to humiliating new low... as his movie star brother luxuriates in $7m Montecito mansion'Dementia gene' now linked to another devastating neurological disease, study shows Trump's losing control... MAGA's imploding... and White House insiders tell me why they're REALLY worried: ANDREW NEIL Tourists warned against visiting 8 popular destinations in 2026 - including European hotspot where locals don't want you Dawson's Creek star James Van Der Beek looks healthy in new social media video as his wife gushes'he's bouncing back' amid cancer battle Her moving videos about the handsome boyfriend who ghosted her went viral and catapulted her to overnight fame. Anna Kepner's grim cause of death aboard Carnival cruise ship confirmed, as homicide investigation continues Brigitte Bardot, 91, is rushed to hospital again as she battles a'serious illness' after undergoing surgery One of America's best-known billionaire's secret thoughts about Trump's state of mind revealed World's coolest streets revealed - as two UK high streets make the top 31 Disney brings Olaf to life! AI-powered snowman robot can walk and talk just like the Frozen character - as delighted fans say'it's like he jumped right off the screen' READ MORE: Inventor is forced to cut robot open to prove there's no-one inside Disney has brought one of its most legendary characters to life - and he's seriously worth melting for. Measuring just three feet (one metre) tall, Olaf the robot can walk and talk just like the delightful eternally optimistic snowman from the Frozen movies.

Kennedy granddaughter Tatiana Schlossberg's terminal cancer diagnosis sheds light on acute myeloid leukemia warning signs and symptoms to watch for, with hope on the horizon for treatment.

These thoughtful and beautifully designed gifts will delight everyone in your circle. Craighill, the maker of desk accessories, key rings, and other fine lifestyle items, has kept things simple and functional with its Chroma scissors. The stainless steel slicers are sturdy and easy to use, but also gorgeous, with primary accent colors that help the scissors stand out in a crowded pen cup. Craighill has been racing to keep these in stock, but they're proving incredibly popular, so don't wait. A hooded parka is a must for anyone who lives where the ground freezes. This is one of Patagonia's toastiest offerings, with a waterproof shell stuffed with 700-fill-power down, a fully insulated cinchable hood, and storm flaps on the inside and outside of the zipper.

'Guerilla' liberals form a'Fight Club' to oust Schumer after walking right into Trump's Oval Office trap Billionaire family posts VERY unusual obituary after heir, 40, met violent end at $2.8m hunting lodge following marriage scandal I know why Usha Vance ditched her wedding ring. Most women would do the same if they'd suffered her humiliation: KENNEDY'Canceled' comedian Louis C.K. devours Hollywood legend's widow on streets of NYC as steamy romance is revealed Troubled 350lbs son of Hollywood icon is forced to humiliating new low... as his movie star brother luxuriates in $7m Montecito mansion Brigitte Bardot, 91, is rushed to hospital again as she battles a'serious illness' after undergoing surgery'Dementia gene' now linked to another devastating neurological disease, study shows Trump's losing control... MAGA's imploding... and White House insiders tell me why they're REALLY worried: ANDREW NEIL Anna Kepner's grim cause of death aboard Carnival cruise ship confirmed, as homicide investigation continues Dawson's Creek star James Van Der Beek looks healthy in new social media video as his wife gushes'he's bouncing back' amid cancer battle Her moving videos about the handsome boyfriend who ghosted her went viral and catapulted her to overnight fame. Pam Bondi's furious response after beauty queen prosecutor who upstaged her has Comey and James indictments thrown out by judge Google Maps blunder turns tiny village into shortcut route, causing it to be'bombarded' by lorries that are damaging people's Grade II-listed homes READ MORE: Scientists issue warning over mind-altering'brain weapons' There are five key stages of the human brain, a new study has revealed. Researchers from the University of Cambridge compared brain scans of 3,802 people aged between 0 and 90. Their analysis revealed that the average human life is split up by four pivotal'turning points' between five key stages - childhood, adolescence, adulthood, early ageing, and late ageing.