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 Volga Federal District


Russia, Ukraine ramp up drone attacks overnight despite truce talks

Al Jazeera

Russian bombardments in eastern Ukraine ramped up overnight, killing two people, as Ukraine hit Russia's Engels military airfield in the country's southwest region of Saratov with drones. Both Russia and Ukraine stepped up aerial attacks in the early hours of Thursday as United States President Donald Trump pushes both sides to agree to a ceasefire after more than three years of fighting. Ukrainian officials in the northeastern Sumy and Kharkiv regions said two people were killed and several others injured after Russia dropped more than three dozen glide bombs on the towns in the border regions. Russian drone attacks on the town of Kropyvnytskyi, hundreds of kilometres from the front line, wounded 14 people and damaged rail infrastructure. "Kropyvnytskyi underwent the most massive enemy attack. Peaceful residential buildings were destroyed," regional governor Andriy Raikovych said.


Russia-Ukraine war: List of key events, day 1,109

Al Jazeera

A Ukrainian drone hit an industrial facility overnight in Russia's Volga River region of Chuvashia, some 1,300km (800 miles) from the border with Ukraine, the regional governor said on Sunday. There were no casualties in the strike, which was one of the deepest yet into Russia by a Ukrainian drone.


Russia-Ukraine war: List of key events – day 1,062

Al Jazeera

Ukraine's Air Force claimed it shot down 93 of 141 drones Russia launched in attacks overnight. The Air Force also said that 47 of the drones were "lost" while two returned to Russia. Russia said it destroyed 31 Ukrainian drones which had primarily targeted industrial sites in Russia's Tatarstan region, located about 1,000km (about 600 miles) from the Ukrainian border. No victims or damage have been reported. The governor of Russia's Bryansk region, Alexander Bogomaz, said 14 Ukrainian drones were neutralised in the region, which borders Ukraine.


Russia-Ukraine war: List of key events, day 1,053

Al Jazeera

Russia's Ministry of Defence said the army gained control of the settlement of Shevchenko, near the logistical centre of Pokrovsk, a key target in its advance through Ukraine's eastern Donetsk region. Ukraine has yet to acknowledge the loss of the town. Ukraine's General Staff of the Armed Forces said it repelled 46 of 56 Russian attacks around a dozen towns in the Pokrovsk sector and several clashes were ongoing. A Ukrainian drone hit one of Russia's largest oil refineries – in Taneko, Tatarstan – according to Russian Telegram channel ASTRA. Fuel oil that spilled from wrecked Russian tankers has spread into the Sea of Azov and reached the shores of Ukraine's partly Russian-occupied Zaporizhia region, a Moscow-installed official said.


Reconstruction of neuromorphic dynamics from a single scalar time series using variational autoencoder and neural network map

arXiv.org Artificial Intelligence

This paper examines the reconstruction of a family of dynamical systems with neuromorphic behavior using a single scalar time series. A model of a physiological neuron based on the Hodgkin-Huxley formalism is considered. Single time series of one of its variables is shown to be enough to train a neural network that can operate as a discrete time dynamical system with one control parameter. The neural network system is created in two steps. First, the delay-coordinate embedding vectors are constructed form the original time series and their dimension is reduced with by means of a variational autoencoder to obtain the recovered state-space vectors. It is shown that an appropriate reduced dimension can be determined by analyzing the autoencoder training process. Second, pairs of the recovered state-space vectors at consecutive time steps supplied with a constant value playing the role of a control parameter are used to train another neural network to make it operate as a recurrent map. The regimes of thus created neural network system observed when its control parameter is varied are in very good accordance with those of the original system, though they were not explicitly presented during training.


Russia, Ukraine trade drone attacks in renewed escalation

Al Jazeera

Russia has launched several strikes across Ukraine, killing at least five people and wounding several, in an attack that appeared to target energy infrastructure. Ukraine also launched a drone attack on Russia's central region of Saratov, injuring four. The exchange began around midnight on Sunday and continued beyond daybreak on Monday. Ukraine's air force reported multiple groups of Russian drones moving towards its eastern, northern, southern, and central regions, followed by numerous cruise and ballistic missiles. Authorities in at least six Ukrainian regions said blasts had been heard.


Neural Network Compression for Reinforcement Learning Tasks

arXiv.org Artificial Intelligence

In the last decade, neural networks (NNs) have driven significant progress across various fields, notably in deep reinforcement learning, highlighted by studies like [1, 2, 3]. This progress has the potential to make changes in many areas such as embedded devices, IoT and Robotics. Although modern Deep Learning models have demonstrated impressive gains in accuracy, their large sizes pose limits to their practical use in many real-world applications [4]. These applications may impose requirements in energy consumption, inference latency, inference throughput, memory footprint, real-time inference and hardware costs. Numerous studies have attempted to make neural networks more efficient.


Ukraine city hit with Russian missiles, killing at least 14 people and leaving many more civilians wounded

FOX News

Video captures the moment and aftermath of what appears to be a drone, allegedly of Ukrainian origin, striking Russian drone production facility. Russian officials claimed that only a worker's dormitory was hit. Three Russian missiles slammed into a downtown area of the northern Ukrainian city of Chernihiv on Wednesday, hitting an eight-floor apartment building and killing at least 14 people, authorities said. At least 61 people, including two children, were wounded in the morning attack, Ukrainian emergency services said. Chernihiv lies about 90 miles north of the capital, Kyiv, near the border with Russia and Belarus, and has a population of around 250,000 people.


WATCH: Ukrainian drone strike creates huge fireball as Kyiv continues attack on Russian energy, weapons plants

FOX News

Video captures the moment and aftermath of what appears to be a drone, allegedly of Ukrainian origin, striking Russian drone production facility. Russian officials claimed that only a worker's dormitory was hit. A Ukrainian "plane-type UAV" on Tuesday struck a Russian weapons plant that allegedly assembled drones, causing an incredible fireball after impact. "This morning, the republic's industrial enterprises in Yelabuga and Nizhnekamsk were attacked by drones," Rustam Minnikhanov, the leader of Russia's autonomous Republic of Tatarstan, said in a post on his Telegram channel. "There is no serious damage, the technological process of the enterprises was not disrupted," Minnikhanov added.


Drone strikes dormitory in Russia's Tatarstan

Al Jazeera

A suspected Ukrainian drone struck a dormitory in Russia's Tatarstan region – sending fireballs into the air and people scattering. At least 7 people were injured in the attack that struck an industrial part of town, where a factory making Iranian-designed drones is reportedly located.