Russia launched eight missiles and 87 drones in an overnight attack on Ukraine on Saturday, causing damage in five regions across the country, the Ukrainian air force said. Air defence units shot down 33 Russian drones while another 36 were redirected by electronic warfare. Damage was recorded in five regions in the south, northeast and east. A Russian missile attack killed one person in Kharkiv, while a drone attack killed another in Sumy, with at least five children among dozens injured. Kharkiv Mayor Ihor Terekhov said 15 residential buildings, a business and an educational facility were damaged in the attack.

Accurate occupancy information helps to improve building energy efficiency and occupant comfort. Occupancy detection methods based on CO2 sensors have received attention due to their low cost and low intrusiveness. In naturally ventilated buildings, the accuracy of CO2-based occupancy detection is generally low in related studies due to the complex ventilation behavior and the difficulty in measuring the actual air exchange through windows. In this study, we present two novel features for occupancy detection based on the spatial distribution of the CO2 concentration. After a quantitative analysis with Support Vector Machine (SVM) as classifier, it was found that the accuracy of occupancy state detection in naturally ventilated rooms could be improved by up to 14.8 percentage points compared to the baseline, reaching 83.2 % (F1 score 0.84) without any ventilation information. With ventilation information, the accuracy reached 87.6 % (F1 score 0.89). The performance of occupancy quantity detection was significantly improved by up to 25.3 percentage points versus baseline, reaching 56 %, with root mean square error (RMSE) of 11.44 occupants, using only CO2-related features. Additional ventilation information further enhanced the performance to 61.8 % (RMSE 9.02 occupants). By incorporating spatial features, the model using only CO2-related features revealed similar performance as the model containing additional ventilation information, resulting in a better low-cost occupancy detection method for naturally ventilated buildings.

A United Nations forum on public policy issues regarding the internet began in Kyoto on Sunday with focus on artificial intelligence and measures against disinformation. The results of the discussions at the Internet Governance Forum scheduled through Thursday will be utilized for the Hiroshima AI Process, in which the Group of Seven industrialized nations will establish rules on AI-related topics. Digital Minister Taro Kono attended as a panelist for a discussion titled "Understanding'Data Free Flow with Trust (DFFT),'" where he emphasized the need for more nations to join the dialogue. About 6,000 people from government, business and educational facilities are expected to attend the over 300 scheduled talks about cybercrime and the information gap born from differences in internet availability, among other topics. One session will look at measures against fake AI-generated video and audio that may be disseminated on social media.

There are places people leave and places people go. Naples might be Italy's third-biggest city, but it is losing those some of those people all the time. The city was once one of the industrial engines of Italy -- a history still evident from the husks and dirt of factories in parts of its centre -- and its promenades still hold some of the splendid grandeur of a city known for its contribution to the arts, travel, literature, food, football and crime. But in recent years, like many cities built on industry and manufacturing, some of that glory has faded away. And its young people have left, too -- giving Naples that sense of being a place you start, not where you end.