Taiwan President Lai Ching-te has cancelled a presidential trip to the African nation of Eswatini, accusing Beijing of putting pressure on its neighbours to bar his aircraft from flying over their territories. Seychelles, Mauritius and Madagascar revoked Lai's overflight permits after intense pressure and economic coercion from China, said a Taiwan official. China denied coercion, while praising the three African countries saying it had high appreciation for them. This is the first publicly known instance where a Taiwanese leader has had to cancel a foreign trip due to revoked flight permits. Eswatini, formerly known as Swaziland, is Taiwan's only diplomatic ally in Africa.

Online health communities (OHCs) are vital for fostering peer support and improving health outcomes. Support groups within these platforms can provide more personalized and cohesive peer support, yet traditional support group formation methods face challenges related to scalability, static categorization, and insufficient personalization. To overcome these limitations, we propose two novel machine learning models for automated support group formation: the Group specific Dirichlet Multinomial Regression (gDMR) and the Group specific Structured Topic Model (gSTM). These models integrate user generated textual content, demographic profiles, and interaction data represented through node embeddings derived from user networks to systematically automate personalized, semantically coherent support group formation. We evaluate the models on a large scale dataset from MedHelp, comprising over 2 million user posts. Both models substantially outperform baseline methods including LDA, DMR, and STM in predictive accuracy (held out log likelihood), semantic coherence (UMass metric), and internal group consistency. The gDMR model yields group covariates that facilitate practical implementation by leveraging relational patterns from network structures and demographic data. In contrast, gSTM emphasizes sparsity constraints to generate more distinct and thematically specific groups. Qualitative analysis further validates the alignment between model generated groups and manually coded themes, showing the practical relevance of the models in informing groups that address diverse health concerns such as chronic illness management, diagnostic uncertainty, and mental health. By reducing reliance on manual curation, these frameworks provide scalable solutions that enhance peer interactions within OHCs, with implications for patient engagement, community resilience, and health outcomes.

Trump says UK's Starmer making'a big mistake' with Chagos Islands deal Donald Trump has criticised the United Kingdom's plan to hand over the Chagos Islands to Mauritius, a day after the United States Department of State gave its official approval of the deal. The US president said on Wednesday that Prime Minister Keir Starmer was "making a big mistake" in the agreement to return sovereignty of the archipelago to Mauritius, and lease back the island of Diego Garcia, which is home to a UK-US military base. The Indian Ocean archipelago became part of British territory in 1814, with the UK detaching it from Mauritius before it gained independence in the 1960s. It then worked with the US to force the islands' residents to leave, in order to build a military base on Diego Garcia, which it had leased to the US. Mauritius won its legal battle for sovereignty over the islands in 2019, and the International Court of Justice (ICJ) urged the UK to cede control.

Campaigners fear Narendra Modi could use AI to increase state surveillance and sway elections. Campaigners fear Narendra Modi could use AI to increase state surveillance and sway elections. Silicon Valley tech billionaires will land in Delhi this week for an AI summit hosted by India's prime minister, Narendra Modi, where leaders of the global south will wrestle for control over the fast-developing technology. During the week-long AI Impact Summit, attended by thousands of tech executives, government officials and AI safety experts, tech companies valued at trillions of dollars will rub along with leaders of countries such as Kenya and Indonesia, where average wages dip well below $1,000 a month. Amid a push to speed up AI adoption across the globe, Sundar Pichai, Sam Altman and Dario Amodei, the heads of Google, OpenAI and Anthropic, will all be there.

Recent language models have shown impressive multilingual performance, even when not explicitly trained for it. Despite this, there are concerns about the quality of their outputs across different languages. In this paper, we show how disparity in the treatment of different languages arises at the tokenization stage, well before a model is even invoked. The same text translated into different languages can have drastically different tok-enization lengths, with differences up to 15 times in some cases. These disparities persist even for tokenizers that are intentionally trained for multilingual support.

Inside the former US embassy that's now one of the world's top luxury hotels - with 8 bars and restaurants and suites to book for £26,100 The world's most expensive cities for days out revealed, with London in the top 15 Going beyond the guidebook: Here are 10 must-try cultural and wildlife experiences in Australia's'Garden State' Fairy-tale villages, castle tours and dinner at Austria's oldest winery: These enchanting river cruises will take you to the heart of each picturesque port of call you visit Revealed: The world's best new luxury hotel is in the UK - and it has a huge pool and rooftop bar Travel expert reveals the'science-backed tool' to help overcome fear of flying Eurostar's'snow train' set to return this week for winter Could YOU pass France's new'civic examination' needed to live in the country? Try these sample questions and find out... Airline finds'lost' Boeing 737 a decade after it vanished'If you don't enjoy Benidorm, you've only got yourself to blame': Meet the British couple who have been to the Spanish hotspot more than 100 TIMES The'dangerous' destinations that are actually not scary - and why you should holiday there next Brit who moved to the world's most desirable place to live reveals the soaring unexpected costs of relocating A major UK city is set to get driverless trains next year as part of its rail modernisation project. In 2023, new trains were launched in Glasgow as part of the full-scale upgrade to improve the city's subway after more than 30 years. The renovations have continued and now, the Strathclyde Partnership for Transport (SPT) has announced Unattended Train Operation will be introduced to Glasgow. The modernisation project is in its'final stages,' Time Out reports, and the driverless subway trains are expected to be brought in next year.

While continuous diffusion has shown remarkable success in continuous domains such as image generation, its direct application to discrete data has underperformed compared to purely discrete formulations. This gap is counterintuitive, given that continuous diffusion learns score functions that enable joint evolution across multiple positions. To understand this gap, we introduce token identifiability as an analytical framework for understanding how Gaussian noise corrupts discrete data through two mechanisms: discrete identity corruption and continuous rank degradation. We reveal that these mechanisms scale differently with vocabulary size, creating a temporal dissonance: at noise levels where discrete corruption preserves enough structure for conditional learning, continuous denoising is trivial; at noise levels where continuous denoising is meaningful, discrete corruption destroys nearly all conditional structure. To solve this, we propose CANDI (Continuous ANd DIscrete diffusion), a hybrid framework that decouples discrete and continuous corruption, enabling simultaneous learning of both conditional structure and continuous geometry. We empirically validate the temporal dissonance phenomenon and demonstrate that CANDI successfully avoids it. This unlocks the benefits of continuous diffusion for discrete spaces: on controlled generation, CANDI enables classifier-based guidance with off-the-shelf classifiers through simple gradient addition; on text generation, CANDI outperforms masked diffusion at low NFE, demonstrating the value of learning continuous gradients for discrete spaces. We include the code on the project page available here: https://patrickpynadath1.github.io/candi-lander

For example, in the Pandemic Response Challenge experiment, the context consisted of data about the geographic region for which the predictions were made, e.g., historical data of COVID-19 cases and intervention policies; actions were future schedules of intervention policies for the region; and outcomes were predicted future cases of COVID-19 along with the stringency