How well do you know Iran? The United Arab Emirates has said its air defences intercepted ballistic and cruise missiles fired from Iran, while a fire was reported at an oil facility in Fujairah after a suspected drone attack. Tehran has not officially commented. Qatar, Jordan, Saudi Arabia and Kuwait, along with the Gulf Cooperation Council (GCC) and the European Union, have condemned the suspected Iranian strike on the UAE. The incident comes as tensions rise, with United States President Donald Trump warning Iran would be "blown off the face of the earth" if US Navy ships are targeted in the Strait of Hormuz.

The United Arab Emirates has said its air defences are engaging with missile attacks and incoming drones from Iran. The UAE Ministry of Defense said late on Monday afternoon that it was intercepting ballistic missiles, cruise missiles, and drones across the country. The emirate of Fujairah said that an Iranian drone sparked a fire at an oil facility. Civil defence teams were deployed immediately to contain the blaze, the Fujairah Media office said in a statement. There were no immediate reports of casualties.

Hundreds of passengers flying to Dubai spent 11 hours on a flight to nowhere after their plane was turned back over Egypt. The Emirates flight EK24 set off from Edinburgh at 21:26 on Sunday and was due to land in Dubai at 06:49 on Monday. However, as the plane flew over Egypt, flights at Dubai International Airport were suspended following a fire caused by an Iranian drone hitting a fuel tank. The plane was forced to return to Edinburgh. Travel journalist Simon Calder told the BBC's Radio Scotland Breakfast programme that although Dubai was on the UK Foreign Office's No go list, many people were still taking the risk of flying there. No injuries were reported following the drone strike but officials said they had taken all necessary measures to ensure public safety.

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.

This study presents acoustic-based methods for the control of multiple autonomous underwater vehicles (AUV). This study proposes two different models for implementing boundary and path control on low-cost AUVs using acoustic communication and a single central acoustic beacon. Two methods are presented: the Range Variation-Based (RVB) model completely relies on range data obtained by acoustic modems, whereas the Heading Estimation-Based (HEB) model uses ranges and range rates to estimate the position of the central boundary beacon and perform assigned behaviors. The models are tested on two boundary control behaviors: Fencing and Milling. Fencing behavior ensures AUVs return within predefined boundaries, while Milling enables the AUVs to move cyclically on a predefined path around the beacon. Models are validated by successfully performing the boundary control behaviors in simulations, pool tests, including artificial underwater currents, and field tests conducted in the ocean. All tests were performed with fully autonomous platforms, and no external input or sensor was provided to the AUVs during validation. Quantitative and qualitative analyses are presented in the study, focusing on the effect and application of a multi-robot system.

Text summarization tasks commonly employ Pre-trained Language Models (PLMs) to fit diverse standard datasets. While these PLMs excel in automatic evaluations, they frequently underperform in human evaluations, indicating a deviation between their generated summaries and human summarization preferences. This discrepancy is likely due to the low quality of fine-tuning datasets and the limited availability of high-quality human-annotated data that reflect true human preference. To address this challenge, we introduce a novel human summarization preference alignment framework AlignSum. This framework consists of three parts: Firstly, we construct a Data Pymarid with extractive, abstractive, and human-annotated summary data. Secondly, we conduct the Gaussian Resampling to remove summaries with extreme lengths. Finally, we implement the two-stage hierarchical fine-tuning with Data Pymarid after Gaussian Resampling. We apply AlignSum to PLMs on the human-annotated CNN/DailyMail and BBC XSum datasets. Experiments show that with AlignSum, PLMs like BART-Large surpass 175B GPT-3 in both automatic and human evaluations. This demonstrates that AlignSum significantly enhances the alignment of language models with human summarization preferences.

Fact-checking real-world claims often requires collecting multiple pieces of evidence and applying complex multi-step reasoning. In this paper, we present Program-Guided Fact-Checking (ProgramFC), a novel fact-checking model that decomposes complex claims into simpler sub-tasks that can be solved using a shared library of specialized functions. We first leverage the in-context learning ability of large language models to generate reasoning programs to guide the verification process. Afterward, we execute the program by delegating each sub-task to the corresponding sub-task handler. This process makes our model both explanatory and data-efficient, providing clear explanations of its reasoning process and requiring minimal training data. We evaluate ProgramFC on two challenging fact-checking datasets and show that it outperforms seven fact-checking baselines across different settings of evidence availability, with explicit output programs that benefit human debugging. Our codes and data are publicly available at https://github.com/mbzuai-nlp/ProgramFC.

The core expertise of InData Labs is in Artificial Intelligence and Data Science, and they are proficient in advanced analytics languages and tools such as Python, R, Tensorflow, Keras, Alteryx, and others. InData Labs offers AI consulting and development services, as well as AI-powered mobile app development, to help clients grow their businesses. Development of customized solutions based on artificial intelligence from scratch. Development of products based on artificial intelligence. Indium Softwares' Machine Learning (ML) service enables companies to gain a competitive edge with privileges such as customer lifetime value prediction, proactive maintenance, spam detection, and more. Indium's motto is "making technology work," and they provide best-in-class machine learning algorithms as well as machine learning consulting solutions.

The United States said Wednesday it suspected Iranian involvement in the alleged hijacking of a ship in the Gulf of Oman as it vowed to work with Britain to respond to an earlier deadly attack it blamed on Tehran. Oman said that the Asphalt Princess, an asphalt and bitumen tanker, was involved in "a hijacking incident in international waters" and that it deployed aircraft and naval ships. The United States and Britain said that the murky incident in the Gulf of Oman concluded after one day, with the alleged hijackers leaving the Panamanian-flagged vessel. "We believe that these personnel were Iranian, but we're not in a position to confirm this at this time," State Department spokesman Ned Price told reporters in Washington. "Iran has undertaken a pattern of belligerence in terms of proxy attacks in the region and of course, these maritime attacks," Price said, while adding that circumstances in the latest incident were "still emerging".

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. DUBAI, United Arab Emirates (AP) – The United States has joined the United Kingdom and Israel in accusing Iran of carrying out a deadly drone strike that killed two aboard a tanker off Oman. U.S. Secretary of State Antony Blinken made the announcement in a statement Sunday. Blinken said: "Upon review of the available information, we are confident that Iran conducted this attack, which killed two innocent people, using one-way explosive (drones), a lethal capability it is increasingly employing throughout the region." He added that there was "no justification for this attack, which follows a pattern of attacks and other belligerent behavior."