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' Russian forces launched a drone attack on the Ukrainian city of Odesa overnight on Saturday, killing an elderly woman and damaging residential buildings, Ukraine's State Emergency Service said. A Russian civilian was killed in a Ukrainian drone attack on Russia's border region of Bryansk on Saturday, according to Governor Alexander Bogomaz.

Ukrainian President Volodymyr Zelensky says he has visited troops near the town of Pokrovsk, where the fiercest front line battle between Russia and Ukraine is currently taking place. Zelensky posted photos showing him meeting personnel at a command post in the Dobropillya sector, some 20km (12 miles) north of Pokrovsk in the Donetsk region. Kyiv's top military commander, Oleksandr Syrskiy, said on Monday that Ukraine was increasing pressure on the Dobropillya front to force the enemy to disperse its forces and make it impossible to concentrate their main efforts in the Pokrovsk area. Russia has been trying to seize Pokrovsk - a strategic frontline town and logistic hub - for over a year. Although it has taken them months to approach the town's borders, Russian soldiers have now infiltrated it and on Friday, Zelensky said Russia had amassed 170,000 troops on its outskirts.

Rough set theory is one of the most widely used and significant approaches for handling incomplete information. It divides the universe in the beginning and uses equivalency relations to produce blocks. Numerous generalized rough set models have been put out and investigated in an effort to increase flexibility and extend the range of possible uses. We introduce four new generalized rough set models that draw inspiration from "neighborhoods and primals" in order to make a contribution to this topic. By minimizing the uncertainty regions, these models are intended to assist decision makers in more effectively analyzing and evaluating the provided data. We verify this goal by demonstrating that the existing models outperform certain current method approaches in terms of improving the approximation operators (upper and lower) and accuracy measurements. We claim that the current models can preserve nearly all significant aspects associated with the rough set model. Preserving the monotonic property, which enables us to assess data uncertainty and boost confidence in outcomes, is one of the intriguing characterizations derived from the existing models. With the aid of specific instances, we also compare the areas of the current approach. Finally, we demonstrate that the new strategy we define for our everyday health-related problem yields more accurate findings.

The Ukrainian Air Force said it repelled a massive air attack by Russia across the country, shooting down 58 of 67 long-range drones that were launched overnight. Debris from a downed drone was also found next to Ukraine's parliament building in the capital, Kyiv, the Verkhovna Rada said in a statement on the Telegram messaging app on Saturday. Air defence units were scrambled into action in 11 regions across Ukraine, the air force said in a statement on Telegram. It also said the Shahed drones were launched from two border regions in Russia as well as from the Russian-occupied peninsula of Crimea. There were no immediate reports on casualties from the attacks.

Convolutional layers are a fundamental component of most image-related models. These layers often implement by default a static padding policy (\eg zero padding), to control the scale of the internal representations, and to allow kernel activations centered on the border regions. In this work we identify Padding Aware Neurons (PANs), a type of filter that is found in most (if not all) convolutional models trained with static padding. PANs focus on the characterization and recognition of input border location, introducing a spatial inductive bias into the model (e.g., how close to the input's border a pattern typically is). We propose a method to identify PANs through their activations, and explore their presence in several popular pre-trained models, finding PANs on all models explored, from dozens to hundreds. We discuss and illustrate different types of PANs, their kernels and behaviour. To understand their relevance, we test their impact on model performance, and find padding and PANs to induce strong and characteristic biases in the data. Finally, we discuss whether or not PANs are desirable, as well as the potential side effects of their presence in the context of model performance, generalisation, efficiency and safety.

An enormous robotic yak, strong enough to carry up to 352 pounds, and able to sprint along at up to 6 miles per hour, has been developed by Chinese scientists. The robot can deal with all sorts of road and weather conditions, according to the Chinese state run People's Daily, which shared a video of the yak on a road. When deployed, it will join soldiers from the Chinese army on logistics and reconnaissance missions across complex environments including snowfields, deserts and mountains. The missions will include working in remote border regions, as well as in high risk combat zones, according to reports by Chinese state media. The robot comes with multiple sensors, giving it a high degree of situational awareness that analysts say can be fed into commanders in a battlefield environment. The robot can deal with all sorts of road and weather conditions, according to the Chinese state run People's Daily, that shared a video of the yak on a road The full details of the Chinese robot yak haven't been revealed, but it can carry up to 352lb of goods.

China is deploying machinegun-carrying robots to its western desert regions amid a standoff with India because troops are struggling with the high-altitude conditions, it has been claimed. Dozens of unmanned vehicles capable of carrying both weapons and supplies are being sent to Tibet, Indian media reports, with the majority deployed in border regions where Chinese troops are locked into a standoff with Indian soldiers. Vehicles include the Sharp Claw, which is mounted with a light machinegun and can be operated wirelessly, and the Mule-200, which is designed as an unmanned supply vehicle but can also be fitted with weapons. Beijing has sent 88 Sharp Claws to Tibet, which borders India high in the Himalayas, of which 38 are deployed to the border region, Times News Now has claimed. Some 120 Mule-200s have also been sent to Tibet, News Now reports, with a majority of them deployed to the border area.

After an intense two-day search, local military forces Friday recovered the body of a U.S. Army commando who was inadvertently left behind after a daylight ambush by militants killed three other Green Berets in a rugged border region in Niger. Pentagon officials had not previously announced that a Green Beret was missing in action after the surprise attack on a joint patrol of U.S. commandos and Nigerien troops Wednesday. Six of the 12 Americans on the patrol were killed or wounded. Officials hoped the missing U.S. Army Special Forces operative might still be hiding in the dense brush, rather than taken captive, and launched a massive search-and-rescue mission with aerial drones and other aircraft, as well as Nigerien ground forces. The death of four Green Berets in remote West Africa marks the worst single loss of U.S. forces under fire since President Trump took office.