How the US left Ukraine exposed to Russia's winter war Will Europe use frozen Russian assets to fund war? How can Ukraine rebuild China ties? Ukraine has carried out a successful underwater drone strike on a Russian submarine in the port of Novorossiysk, causing critical damage to the vessel, its domestic security service says. In a statement on Monday, the Security Service of Ukraine (SBU) said the Kilo-class submarine was knocked out of operation in the first such attack by Sea Baby drones. The SBU said the submarine "carried four Kalibr cruise missile launchers" used to strike Ukrainian territory.

UN Secretary General Antonio Guterres says six peacekeepers, all Bangladesh nationals, were killed when a drone strike hit a UN logistics base in Kadugli, in Sudan's central region of Kordofan. Sudan's army says the attack came from the paramilitary Rapid Support Forces.

What is in the 28-point US plan for Ukraine? 'Ukraine is running out of men, money and time' Can the US get all sides to end the war? Why is Europe opposing Trump's peace plan? Two people were killed in a Ukrainian drone strike on the Russian city of Saratov, regional Governor Roman Busargin said in a statement on Telegram. An unspecified number of people were also injured in the attack.

At least three people have been killed and nine others wounded, when the paramilitary Rapid Support Forces (RSF) launched a drone attack on a central Sudanese city, as fighting intensifies across the vast strategic region of Kordofan that could determine the war's outcome. The strike hit a square near a police station in the Tayba neighbourhood of el-Obeid on Saturday afternoon, military sources told Al Jazeera. Several of the wounded are in critical condition, they said. Military sources reported that the Sudanese Armed Forces (SAF) had earlier struck RSF positions in the town of Um Adara in South Kordofan, while RSF forces shelled the city of Um Rawaba in the north, causing civilian casualties. An RSF drone also targeted army positions in Kosti city in White Nile state, in southeastern Sudan, destroying a military vehicle and injuring its crew, the sources added.

Russian attacks have left thousands without power in Ukraine, while a drone attack killed two people in Russia, as United States-led peace talks on ending the war, deep in its fourth year, press on. Ukrainian President Volodymyr Zelenskyy said Saturday that Russian night-time attacks damaged more than a dozen civilian facilities, disrupting power in seven regions. "They still aim to destroy our state and inflict maximum pain on our people." Kyiv and its Western allies have repeatedly said Russia is trying to cripple the Ukrainian power grid and deny civilians access to heat, light and running water for a fourth consecutive winter, in what Ukrainian officials call "weaponising" the cold. Russian attacks left parts of the Kherson region, including the regional capital, Kherson, without power, according to regional head Oleksandr Prokudin.

A Russian drone strike hit a Turkish-owned commercial vessel at Ukraine's Chornomorsk port. Ukraine said Odessa port was also hit and a total of three Turkish ships were damaged. Kyiv said Russian attacks on Black Sea shipping showed it wasn't serious about ending the war. Were South Africans lured into fighting for Russia's Ukraine war?

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Flags flutter as soldiers participate in a military parade to mark the 80th anniversary of the end of World War II, in Beijing in September. The maiden flight of the unmanned Jiutian drone mothership has highlighted its advances in unmanned aerial vehicles capable of unleashing weaponized swarms. China conducted the maiden flight of what is considered to be the world's largest drone mothership, underscoring its advances in unmanned aerial vehicles capable of unleashing weaponized swarms. The unmanned Jiutian completed its first mission in the northwestern province of Shaanxi, the official Xinhua News Agency reported Thursday without elaborating. The aerial vehicle has been likened to an aircraft carrier for its ability to host multiple drones and missiles.

A woman and her relatives look at her home, which was damaged during a night of Russian missile and drone strikes, amid Russia's attack on Ukraine, in Novi Petrivtsi, outside Kyiv, on Saturday. Microchip manufacturers Intel, Advanced Micro Devices (AMD) and Texas Instruments were accused in a series of lawsuits of failing to keep their technology out of Russian-made weapons used to kill and wound civilians in Ukraine. Those companies -- along with a company owned by Warren Buffett's Berkshire Hathaway -- demonstrated willful ignorance" as third parties resold restricted chips to Russia to power drones and missiles in violation of U.S. sanctions, according to one of the five suits, filed Wednesday in state court in Texas. The lawsuits, filed on behalf of dozens of Ukrainian civilians by Mikal Watts and prominent law firm Baker & Hostetler, cite five attacks between 2023 and 2025 that killed dozens of people. One attack allegedly involved Iranian-made drones with components associated with Intel and AMD, while the others involved Russian-made KH-101 cruise missiles and Iskander ballistic missiles.

Abstract--The integration of Unmanned Aerial V ehicles (UA Vs) and Unmanned Ground V ehicles (UGVs) is increasingly central to the development of intelligent autonomous systems for applications such as search and rescue, environmental monitoring, and logistics. However, precise coordination between these platforms in real-time scenarios presents major challenges, particularly when external localization infrastructure such as GPS or GNSS is unavailable or degraded [1]. This paper proposes a vision-based, data-driven framework for real-time UA V-UGV integration, with a focus on robust UGV detection and heading angle prediction for navigation and coordination. The system employs a fine-tuned YOLOv5 model to detect UGVs and extract bounding box features, which are then used by a lightweight artificial neural network (ANN) to estimate the UA V's required heading angle. A VICON motion capture system was used to generate ground-truth data during training, resulting in a dataset of over 13,000 annotated images collected in a controlled lab environment. The trained ANN achieves a mean absolute error of 0.1506 and a root mean squared error of 0.1957, offering accurate heading angle predictions using only monocular camera inputs. Experimental evaluations achieve 95% accuracy in UGV detection. This work contributes a vision-based, infrastructure-independent solution that demonstrates strong potential for deployment in GPS/GNSS-denied environments, supporting reliable multi-agent coordination under realistic dynamic conditions. A demonstration video showcasing the system's real-time performance, including UGV detection, heading angle prediction, and UA V alignment under dynamic conditions, is available at: https://github.com/Kooroshraf/UA HE integration of Unmanned Aerial V ehicles (UA Vs) and Unmanned Ground V ehicles (UGVs) has emerged as a powerful paradigm in multi-agent systems, offering significant advantages for surveillance, search and rescue, precision agriculture, and autonomous logistics [2]. UA Vs provide agility and a wide field of view, while UGVs offer stable ground-level interaction and payload capacity.