There have been several instances of unidentified drones flying over military bases recently. At least 10 such drones had been seen flying above Manching Air Base near the city of Ingolstadt on Sunday evening, German police said. Last month, there were sightings at Manching and nearby Neuburg an der Donau. Drones were also spotted at the US air base at Ramstein and at an industrial zone near it in the North Sea. In her statement, Interior Minister Faeser said "espionage or sabotage are regularly considered as a possible reason".

Russia appeared to ready itself for talks on the future of Ukraine with United States President-elect Donald Trump ahead of his swearing-in on Monday. "No special conditions are needed for this. What is required is the mutual intent and political will to have a dialogue," said Russian President Vladimir Putin's spokesman Dmitry Peskov on Saturday. But Russia expressed its parameters very quickly. Putin aide Nikolai Patrushev told Russian news outlet KP that a Ukraine settlement should be reached by the US and Russia, without Ukraine and without the European Union.

DJI has lifted its geofence that prevents users in the US from flying over restricted areas like nuclear power plants, airports and wildfires, the company wrote in a blog post on Monday. As of January 13th, areas previously called "restricted zones" or no-fly zones will be shown as "enhanced warning zones" that correspond to designated Federal Aviation Administration (FAA) areas. DJI's Fly app will display a warning about those areas but will no longer stop users from flying inside them, the company said. In the article, DJI wrote that the "in-app alerts will notify operators flying near FAA designated controlled airspace, placing control back in the hands of the drone operators, in line with regulatory principles of the operator bearing final responsibility." It added that technologies like Remote ID [introduced after DJI implemented geofencing] gives authorities "the tools needed to enforce existing rules," DJI's global policy chief Adam Welsh told The Verge.

At least six Palestinians were killed in an Israeli drone attack on the Jenin refugee camp in the occupied West Bank, where a child was reportedly among the victims.

A Palestinian teenager and three brothers were among at least six people killed in an Israeli air attack on the Jenin refugee camp in the occupied West Bank, according to reports. The Palestinian news agency Wafa said that an Israeli drone fired three missiles at a group of people near a traffic roundabout in the camp on Tuesday evening, killing six people, including a 15-year-old boy, and injuring several others. Five other victims of the attack were aged between 23 and 34, and included three brothers, Wafa reports. Earlier this month, an Israeli drone strike on the occupied West Bank's Tammun town killed two Palestinian children and a 23-year-old from the same family. Al Jazeera's Hamdah Salhut said the drone strike on the Jenin camp comes amid intense Israeli military raids on local communities and the killing by Israeli forces of almost 800 Palestinians in the occupied West Bank since October 7, 2023 – as well as the arrest of several thousand others.

Then, it proposes a hybrid AI system, integrating deep reinforcement learning in a multi-agent centralized swarm architecture. The proposed system is tailored to perform surveillance of a specific area, searching and tracking ground targets, for security and law enforcement applications. The swarm is governed by a central swarm controller responsible for distributing different search and tracking tasks among the cooperating UAVs. Each UAV agent is then controlled by a collection of cooperative sub-agents, whose behaviors have been trained using different deep reinforcement learning models, tailored for the different task types proposed by the swarm controller. More specifically, proximal policy optimization (PPO) algorithms were used to train the agents' behavior. In addition, several metrics to assess the performance of the swarm in this application were defined. The results obtained through simulation show that our system searches the operation area effectively, acquires the targets in a reasonable time, and is capable of tracking them continuously and consistently.

This paper introduces an Unmanned Aerial Vehicle - enabled content management architecture that is suitable for critical content access in communities of users that are communication-isolated during diverse types of disaster scenarios. The proposed architecture leverages a hybrid network of stationary anchor UAVs and mobile Micro-UAVs for ubiquitous content dissemination. The anchor UAVs are equipped with both vertical and lateral communication links, and they serve local users, while the mobile micro-ferrying UAVs extend coverage across communities with increased mobility. The focus is on developing a content dissemination system that dynamically learns optimal caching policies to maximize content availability. The core innovation is an adaptive content dissemination framework based on distributed Federated Multi-Armed Bandit learning. The goal is to optimize UAV content caching decisions based on geo-temporal content popularity and user demand variations. A Selective Caching Algorithm is also introduced to reduce redundant content replication by incorporating inter-UAV information sharing. This method strategically preserves the uniqueness in user preferences while amalgamating the intelligence across a distributed learning system. This approach improves the learning algorithm's ability to adapt to diverse user preferences. Functional verification and performance evaluation confirm the proposed architecture's utility across different network sizes, UAV swarms, and content popularity patterns.

Despite the recent developments in obstacle avoidance and other safety features, autonomous Unmanned Aerial Vehicles (UAVs) continue to face safety challenges. No previous work investigated the relationship between the behavioral uncertainty of a UAV and the unsafety of its flight. By quantifying uncertainty, it is possible to develop a predictor for unsafety, which acts as a flight supervisor. We conducted a large-scale empirical investigation of safety violations using PX4-Autopilot, an open-source UAV software platform. Our dataset of over 5,000 simulated flights, created to challenge obstacle avoidance, allowed us to explore the relation between uncertain UAV decisions and safety violations: up to 89% of unsafe UAV states exhibit significant decision uncertainty, and up to 74% of uncertain decisions lead to unsafe states. Based on these findings, we implemented Superialist (Supervising Autonomous Aerial Vehicles), a runtime uncertainty detector based on autoencoders, the state-of-the-art technology for anomaly detection. Superialist achieved high performance in detecting uncertain behaviors with up to 96% precision and 93% recall. Despite the observed performance degradation when using the same approach for predicting unsafety (up to 74% precision and 87% recall), Superialist enabled early prediction of unsafe states up to 50 seconds in advance.

DJI continues its streak of innovative (and highly leaked) drones with the launch of the Flip, a lightweight and people-safe model that folds in a new direction -- downward -- to accommodate the large, shrouded propellers. The new model should appeal to beginners and experienced users alike with features like a large sensor, 4K 100p video, safety features, a three-axis gimbal and an affordable price. The company says the Flip "combine[s] the simplicity of the DJI Neo with the stunning photo capabilities of the DJI Mini," but in many ways, it's better than both. It borrows a LiDAR system from the Air 3S for obstacle detection and the Flip's propellers are protected on all sides, making it all but impossible to hurt someone with them. DJI says the support structure for the guards is made of carbon fiber string that's 1/60th the weight of polycarbonate material and just as strong.

Drones have become a "threat to national security", the prisons watchdog has said, after a surge in the amount of weapons and drugs flown into high-security jails. Charlie Taylor, the chief inspector of prisons, called for urgent action from Whitehall and the police after inquiries found that terrorism suspects and criminal gangs could escape or attack guards because safety had been "seriously compromised". His demands follow inspections at two category A prisons holding some of England and Wales's most dangerous inmates. HMP Manchester and HMP Long Lartin in Worcestershire had thriving illicit economies selling drugs, mobile phones and weapons, and basic anti-drone security measures such as protective netting and CCTV had been allowed to fall into disrepair, inspectors found. In a report released on Tuesday, Taylor said the police and prison service had "in effect ceded the airspace above two high-security prisons to organised crime gangs" despite knowing they were holding "extremely dangerous prisoners".