Russian attacks on major Ukrainian cities have killed at least 12 people as President Volodymyr Zelenskyy visits Washington, DC, supported by European leaders, for high-stakes peace talks with United States President Donald Trump that could determine Ukraine's future and its fate in the war, now in its fourth year. An entire family, including a toddler and a 16-year-old, were among seven people killed in an overnight drone strike on a residential neighbourhood in the northeastern city of Kharkiv, authorities said on Monday. The attack also injured 20 people, including six children. Russian forces killed five people and injured four in attacks in eastern Ukraine's Donetsk region, where some of the fiercest fighting on the ground rages on and where Russian President Vladimir Putin, feeling Moscow has the upper hand, seeks Ukraine's withdrawal from the third of the region Kyiv still controls. In Zaporizhzhia, a city in the southeast, 17 people were injured in an attack, according to Governor Ivan Fedorov.

Russia has suffered multiple diplomatic and judicial blows during the past week over its war on Ukraine, despite President Vladimir Putin's high-profile visits to North Korea and Vietnam and Moscow's claims that it is founding a "Eurasian security architecture that will replace the discredited Euro-Atlantic security arrangements". Putin signed a "comprehensive strategic treaty" with North Korean leader Kim Jong Un on June 19, incorporating what he said was a defensive alliance. South Korea's government condemned the agreement. Its national security adviser, Chang Ho-jin, declared that Seoul would reconsider lifting a ban on arms supplies directly to Ukraine. Until now, South Korea has only sold weapons to Ukraine's allies.

A coordinate system is a foundation for every quantitative science, engineering, and medicine. Classical physics and statistics are based on the Cartesian coordinate system. The classical probability and hypothesis testing theory can only be applied to Euclidean data. However, modern data in the real world are from natural language processing, mathematical formulas, social networks, transportation and sensor networks, computer visions, automations, and biomedical measurements. The Euclidean assumption is not appropriate for non Euclidean data. This perspective addresses the urgent need to overcome those fundamental limitations and encourages extensions of classical probability theory and hypothesis testing , diffusion models and stochastic differential equations from Euclidean space to non Euclidean space. Artificial intelligence such as natural language processing, computer vision, graphical neural networks, manifold regression and inference theory, manifold learning, graph neural networks, compositional diffusion models for automatically compositional generations of concepts and demystifying machine learning systems, has been rapidly developed. Differential manifold theory is the mathematic foundations of deep learning and data science as well. We urgently need to shift the paradigm for data analysis from the classical Euclidean data analysis to both Euclidean and non Euclidean data analysis and develop more and more innovative methods for describing, estimating and inferring non Euclidean geometries of modern real datasets. A general framework for integrated analysis of both Euclidean and non Euclidean data, composite AI, decision intelligence and edge AI provide powerful innovative ideas and strategies for fundamentally advancing AI. We are expected to marry statistics with AI, develop a unified theory of modern statistics and drive next generation of AI and data science.

Russia: Cognitive Agro Pilot, an autonomous AI-based driving system for farming equipment which was designed by Sber and its ecosystem member Cognitive Pilot – has succeeded in industrial use across 35 regions of Russia when reaping the 2020 harvest. From June to October 2020, over 350 New Holland, John Deere and CLAAS autonomous combines equipped with Cognitive Agro Pilot system farmed over 160,000 hectares of field and harvested more than 720,000 tonnes of crops. With the help of Cognitive Agro Pilot as many as 590,000 metric tonnes of grain crops such as wheat, soybeans, barley, oats, sorghum, buckwheat, among others, were harvested over 130,000 hectares, and some 130,000 metric tonnes of row crops and roll crops (corn, sunflower, etc.) were harvested over 30,000 hectares in Kaliningrad, Kaluga, Kursk, Belgorod, Tambov, Penza, Rostov, Tomsk, Kurgan, Krasnodar, Krasnoyarsk and Stavropol regions. Thanks to the use of Cognitive Agro Pilot, this harvesting season stakeholders were able to save – on fuel and other related materials, shorter harvesting time (machine hours), equipment depreciation, extended active use of equipment before capital expenditures, fewer human errors, optimisation of business processes, and other parameters. According to the estimates of project members, in the next three years, every 10th harvester in Russia may become autonomous.