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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' Two people have been killed and dozens injured in overnight Russian drone attacks across Ukraine, where strikes on energy infrastructure have caused power outages in freezing temperatures, according to President Volodymyr Zelenskyy. In a social media post on Sunday, Zelenskyy said the Sumy, Kharkiv, Dnipro, Zaporizhia, Khmelnytskyi and Odesa regions were targeted in an attack that included more than 200 drones.

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 began a "massive attack" on Ukraine on Monday night, killing three people and targeting 13 regions with 650 drones and 30 missiles, Ukrainian President Volodymyr Zelenskyy said in a post on X. Those killed in the overnight attack included a four-year-old girl in the central Zhytomyr region, Governor Vitalii Bunechko said on Telegram.

Can Ukraine restore its pre-war borders? Why are Tomahawk missiles for Ukraine a'red line' for Russia? Is Russia testing NATO with aerial incursions in Europe? Russian forces killed four people, including a 12-year-old girl, and injured 13 in an attack on Ukraine's capital, Kyiv, on Sunday night, Tymur Tkachenko, the head of Kyiv's military administration, wrote in a post on Telegram. Those killed also included staff and patients at a cardiology centre, Tkachenko added.

Russian forces launched 408 attacks on Ukraine's Zaporizhia region, killing a 62-year-old man in the Polohy district, Regional Governor Ivan Fedorov said. A man was killed in a Russian attack on the Khmelnytskyi region in western Ukraine, the region's governor, Serhii Tiurin, said. Russian attacks injured at least 35 people across Ukraine on Wednesday, including 14 people in the Donetsk area and 14 people in the Kherson region, local officials said, according to the Kyiv Independent news outlet. Russia's Ministry of Defence said that its forces shot down 170 Ukrainian drones, five guided aerial bombs and two rockets in a 24-hour period, according to Russia's state-run TASS news agency. Ukraine's air force said it shot down 430 Russian drones and 21 missiles, the Kyiv Independent reported.

Medical imaging plays a vital role in early disease diagnosis and monitoring. Specifically, blood microscopy offers valuable insights into blood cell morphology and the detection of hematological disorders. In recent years, deep learning-based automated classification systems have demonstrated high potential in enhancing the accuracy and efficiency of blood image analysis. However, a detailed performance analysis of specific deep learning frameworks appears to be lacking. This paper compares the performance of three popular deep learning frameworks, TensorFlow with Keras, PyTorch, and JAX, in classifying blood cell images from the publicly available BloodMNIST dataset. The study primarily focuses on inference time differences, but also classification performance for different image sizes. The results reveal variations in performance across frameworks, influenced by factors such as image resolution and framework-specific optimizations. Classification accuracy for JAX and PyTorch was comparable to current benchmarks, showcasing the efficiency of these frameworks for medical image classification.

President Donald Trump says the U.S. will have to send more weapons to Ukraine, just days after Pentagon paused critical weapons deliveries to Kyiv. NATO jets were scrambled overnight as Russia carried out its largest drone attack yet on Ukraine, launching more than 700 drones, officials said. Ukrainian President Volodymyr Zelenskyy said the "new massive Russian attack on our cities" involved "728 drones of various types, including over 300 Shaheds, and 13 missiles – Kinzhals and Iskanders. "Most of the targets were shot down. Our interceptor drones were used -- dozens of enemy targets were downed, and we are scaling up this technology.

Understanding the impact of small quantum gate perturbations, which are common in quantum digital devices but absent in classical computers, is crucial for identifying potential advantages in quantum machine learning. While these perturbations are typically seen as detrimental to quantum computation, they can actually enhance performance by serving as a natural source of data augmentation. Additionally, they can often be efficiently simulated on classical hardware, enabling quantum-inspired approaches to improve classical machine learning methods. In this paper, we investigate random Bloch sphere rotations, which are fundamental SU(2) transformations, as a simple yet effective quantum-inspired data augmentation technique. Unlike conventional augmentations such as flipping, rotating, or cropping, quantum transformations lack intuitive spatial interpretations, making their application to tasks like image classification less straightforward. While common quantum augmentation methods rely on applying quantum models or trainable quanvolutional layers to classical datasets, we focus on the direct application of small-angle Bloch rotations and their effect on classical data. Using the large-scale ImageNet dataset, we demonstrate that our quantum-inspired augmentation method improves image classification performance, increasing Top-1 accuracy by 3%, Top-5 accuracy by 2.5%, and the F$_1$ score from 8% to 12% compared to standard classical augmentation methods. Finally, we examine the use of stronger unitary augmentations. Although these transformations preserve information in principle, they result in visually unrecognizable images with potential applications for privacy computations. However, we show that our augmentation approach and simple SU(2) transformations do not enhance differential privacy and discuss the implications of this limitation.

At least four people were killed and 20 were wounded in multiple Russian missile and drone attacks overnight on the Ukrainian capital, Kyiv, local officials have said. Kyiv mayor Vitali Klitschko said on Friday morning search and rescue operations were continuing in several locations. Among the wounded, 16 were admitted to hospital. Ukrainian authorities said Russian forces launched 407 drones and 45 missiles, including cruise and ballistic missiles, of which they succeeded in destroying, respectively, around 200 and 30. "It was a very frightening night. We heard some of the drones go over this area in central Kyiv, giant explosions ringing out across the city, some so loud that they were shaking the glass here of our hotel, we've seen pictures of people who took shelter in the metro stations underground and underground car parks," said Al Jazeera's Charles Stratford, reporting from the Ukrainian capital.

A Russian drone attack has killed at least four people and wounded 21 in the eastern Ukrainian city of Dnipro, damaging high-rise buildings and triggering fires in a hotel and homes, the regional governor said, as Moscow claims to have made gains on the ground elsewhere. Late Friday, Russia sent "more than two dozen drones" to Dnipro, the governor of the surrounding Dnipropetrovsk region, Sergiy Lysak, wrote on his official Telegram account on Saturday. "The massive attack caused large-scale destruction and fires. A hotel and restaurant complex, 11 private houses, garages, and a service station were on fire," he said, adding that high-rises and cars were also damaged. Pictures and videos posted online showed flames and large plumes of smoke wafting skyward.