Could Ukraine hold a presidential election right now? Will Europe use frozen Russian assets to fund war? How can Ukraine rebuild China ties? 'Ukraine is running out of men, money and time' Zelenskyy seeks 50,000 Russian'losses' a month to win the Ukraine war Ukrainian President Volodymyr Zelenskyy says he plans to increase his armed forces' lethality as part of a strategy to disarm Moscow and turn a deadlocked negotiating table. "The task of Ukrainian units is to ensure a level of destruction of the occupier at which Russian losses exceed the number of reinforcements they can send to their forces each month," he told military personnel on Monday.

Could Ukraine hold a presidential election right now? Will Europe use frozen Russian assets to fund war? How can Ukraine rebuild China ties? 'Ukraine is running out of men, money and time' At least two people were injured after Russian forces launched a drone and missile attack on Kharkiv, Ukraine's second-largest city, Mayor Ihor Terekhov said. The attack also damaged apartment buildings, a school, and a kindergarten, he added.

K2 Think compares well with reasoning models from OpenAI and DeepSeek but is smaller and more efficient, say researchers based in Abu Dhabi. The United Arab Emirates (UAE) has released an open source model that performs advanced reasoning as well as the best offerings from both the United States and China--one of the strongest signs so far that the nation's big investments in artificial intelligence are starting to pay off. The new model, K2 Think, comes from researchers at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) located in UAE's capital Abu Dhabi. The model--one of the first so-called "sovereign" AI models that incorporates technical advances needed for reasoning--is being made available for free by G42, an Emirati tech conglomerate backed by Abu Dhabi's sovereign wealth funds. G42 is running the model on a cluster of Cerberas chips, an alternative to Nvidia's hardware.

President Donald Trump's recent visit to the UAE marked a pivotal moment for UAE-U.S. bilateral relations, shining a spotlight on a shared vision for the future. As the UAE and the "New Gulf" pivot from oil to cutting-edge technologies, our partnership with the U.S., rooted in decades of trust, has become a beacon of what's possible when nations collaborate. This trust has paved the way for a bold new chapter: a strategic economic alliance poised to create tens of thousands of high-tech, energy and manufacturing jobs, driving prosperity in both of our countries. At the heart of this collaboration lies the new U.S.-UAE AI Acceleration Partnership. This initiative will advance cooperation in artificial intelligence and other transformative technologies while spurring investment flows between our nations.

Large Language Models (LLMs) are advancing into Multimodal LLMs (MLLMs), capable of processing image, audio, and video as well as text. Combining first-person video, MLLMs show promising potential for understanding human activities through video and audio, enabling many human-computer interaction and human-augmentation applications such as human activity support, real-world agents, and skill transfer to robots or other individuals. However, handling high-resolution, long-duration videos generates large latent representations, leading to substantial memory and processing demands, limiting the length and resolution MLLMs can manage. Reducing video resolution can lower memory usage but often compromises comprehension. This paper introduces a method that optimizes first-person video analysis by integrating eye-tracking data, and proposes a method that decomposes first-person vision video into sub areas for regions of gaze focus. By processing these selectively gazed-focused inputs, our approach achieves task comprehension equivalent to or even better than processing the entire image at full resolution, but with significantly reduced video data input (reduce the number of pixels to one-tenth), offering an efficient solution for using MLLMs to interpret and utilize human skills.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. The United Arab Emirates (UAE) has agreed to a 10-year, 1.4 trillion investment framework, the White House announced on Friday, saying it will "substantially increase the UAE's existing investments in the U.S. economy." The White House said the investments would be in AI infrastructure, semiconductors, energy, American manufacturing and more. The White House said in a press release that the UAE agreed to the framework after President Donald Trump hosted the UAE National Security Advisor, HH Sheikh Tahnoon bin Zayed Al Nahyan, for a meeting in the Oval Office.

We present the GenAI Content Detection Task~1 -- a shared task on binary machine generated text detection, conducted as a part of the GenAI workshop at COLING 2025. The task consists of two subtasks: Monolingual (English) and Multilingual. The shared task attracted many participants: 36 teams made official submissions to the Monolingual subtask during the test phase and 26 teams -- to the Multilingual. We provide a comprehensive overview of the data, a summary of the results -- including system rankings and performance scores -- detailed descriptions of the participating systems, and an in-depth analysis of submissions. https://github.com/mbzuai-nlp/COLING-2025-Workshop-on-MGT-Detection-Task1

For a while in the mid-2000s, a refrigerator-sized box in Abu Dhabi was considered the greatest chess player in the world. Its name was Hydra, and it was a small super-computer--a cabinet full of industrial-grade processors and specially designed chips, strung together with fiber-optic cables and jacked into the internet. At a time when chess was still the main gladiatorial arena for competition between humans and AI, Hydra and its exploits were briefly the stuff of legend. The New Yorker published a contemplative 5,000-word feature about its emergent creativity; WIRED declared Hydra "fearsome"; and chess publications covered its victories with the violence of wrestling commentary. Hydra, they wrote, was a "monster machine" that "slowly strangled" human grand masters.

The first Workshop on Language Models for Low-Resource Languages (LoResLM 2025) was held in conjunction with the 31st International Conference on Computational Linguistics (COLING 2025) in Abu Dhabi, United Arab Emirates. This workshop mainly aimed to provide a forum for researchers to share and discuss their ongoing work on language models (LMs) focusing on low-resource languages, following the recent advancements in neural language models and their linguistic biases towards high-resource languages. LoResLM 2025 attracted notable interest from the natural language processing (NLP) community, resulting in 35 accepted papers from 52 submissions. These contributions cover a broad range of low-resource languages from eight language families and 13 diverse research areas, paving the way for future possibilities and promoting linguistic inclusivity in NLP.

Mangroves play a crucial role in maintaining coastal ecosystem health and protecting biodiversity. Therefore, continuous mapping of mangroves is essential for understanding their dynamics. Earth observation imagery typically provides a cost-effective way to monitor mangrove dynamics. However, there is a lack of regional studies on mangrove areas in the UAE. This study utilizes the UNet++ deep learning model combined with Sentinel-2 multispectral data and manually annotated labels to monitor the spatiotemporal dynamics of densely distributed mangroves (coverage greater than 70%) in the UAE from 2017 to 2024, achieving an mIoU of 87.8% on the validation set. Results show that the total mangrove area in the UAE in 2024 was approximately 9,142.21 hectares, an increase of 2,061.33 hectares compared to 2017, with carbon sequestration increasing by approximately 194,383.42 tons, equivalent to fixing about 713,367.36 tons of carbon dioxide. Abu Dhabi has the largest mangrove area and plays a dominant role in the UAE's mangrove growth, increasing by 1,855.6 hectares between 2017-2024, while other emirates have also contributed to mangrove expansion through stable and sustainable growth in mangrove areas. This comprehensive growth pattern reflects the collective efforts of all emirates in mangrove restoration.