Ubisoft, one of the world's largest games developers, says it's working to fix an apparent hack on popular online shooter Rainbow Six Siege. Servers for the tactical multiplayer game were taken offline on Saturday and Sunday after in-game currency thought to be worth millions of pounds was distributed to players. The company has since restored service, but suspended the game's marketplace until further notice and warned players they may face queues when trying to log on. In a statement on X, Ubisoft said it would continue to make investigations and corrections over the next two weeks. Rainbow Six Siege, commonly referred to as R6, has been a success story for Ubisoft, which is also behind the Assassin's Creed and Far Cry series.

Ukraine's health supplies hit in series of Russian strikes on medical warehouses Warehouses supplying the vast majority of Ukraine's pharmacies have been destroyed in a series of Russian attacks over recent months. Medical supplies worth about $200m (£145m) were destroyed in just two strikes in December and October. A large warehouse storing medicines in the city of Dnipro was destroyed in a Russian air strike on 6 December. As a result, about $110m worth of medicines were destroyed - estimated at up to 30% of Ukraine's monthly supply. It was a missile and drone strike against our facility.

Exploring the socio - technical challenges confronting the adoption of AI in organisational settings is something that has so far been largely absent from the related literature . In particular, r esearch into requirements for trustworthy AI typically overlooks how people deal with the problems of trust in the tools that they use as part of their everyday work practices . This article presents some findings from an ongoing ethnographic study of how current tools are used in air traffic control work and what it r eveals about requirements for trustworthy AI in air traffic control and other safety - critical application domains.

Air traffic can be significantly disrupted by weather. Pathfinder operations involve assigning a designated aircraft to assess whether airspace that was previously impacted by weather can be safely traversed through. Despite relatively routine use in air traffic control, there is little research on the underlying multi-agent decision-making problem. We seek to address this gap herein by formulating decision models to capture the operational dynamics and implications of pathfinders. Specifically, we construct a Markov chain to represent the stochastic transitions between key operational states (e.g., pathfinder selection). We then analyze its steady-state behavior to understand long-term system dynamics. We also propose models to characterize flight-specific acceptance behaviors (based on utility trade-offs) and pathfinder selection strategies (based on sequential offer allocations). We then conduct a worst-case scenario analysis that highlights risks from collective rejection and explores how selfless behavior and uncertainty affect system resilience. Empirical analysis of data from the US Federal Aviation Administration demonstrates the real-world significance of pathfinder operations and informs future model calibration.

Siri and Alexa were only the beginning. As voice recognition and speech synthesis technologies continue to mature, the days of typing on keyboards to interact with the digital world around us could be coming to an end -- and sooner than many of us anticipated. Where today's virtual assistants exist on our mobile devices and desktops to provide scripted answers to specific questions, the LLM-powered generative AI copilots of tomorrow will be there, and everywhere else too. This is the "voice-first" future Tobias Dengel envisions in his new book, The Sound of the Future: The Coming Age of Voice Technology. Using a wide-ranging set of examples, and applications in everything from marketing, sales and customer service to manufacturing and logistics, Dengel walks the reader through how voice technologies can revolutionize the ways in which we interact with the digital world.

The increasing prevalence of Artificial Intelligence (AI) in safety-critical contexts such as air-traffic control leads to systems that are practical and efficient, and to some extent explainable to humans to be trusted and accepted. The present structured literature analysis examines n = 236 articles on the requirements for the explainability and acceptance of AI. Results include a comprehensive review of n = 48 articles on information people need to perceive an AI as explainable, the information needed to accept an AI, and representation and interaction methods promoting trust in an AI. Results indicate that the two main groups of users are developers who require information about the internal operations of the model and end users who require information about AI results or behavior. Users' information needs vary in specificity, complexity, and urgency and must consider context, domain knowledge, and the user's cognitive resources. The acceptance of AI systems depends on information about the system's functions and performance, privacy and ethical considerations, as well as goal-supporting information tailored to individual preferences and information to establish trust in the system. Information about the system's limitations and potential failures can increase acceptance and trust. Trusted interaction methods are human-like, including natural language, speech, text, and visual representations such as graphs, charts, and animations. Our results have significant implications for future human-centric AI systems being developed. Thus, they are suitable as input for further application-specific investigations of user needs.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Cyprus authorities say they're taking extra efforts to ensure flight safety isn't compromised from Turkish warplanes and military drones flying inside Cypriot-monitored airspace without filing either flight plans or communicating with air traffic control. The issue over unregulated Turkish military flights again came to the fore earlier this month when Cypriot authorities said a Turkish warplane "illegally" flew low over a United Nations-controlled buffer zone that cuts across the ethnically-divided island nation on what was believed to be a surveillance mission. "Despite these illegal acts by Turkey, and the illegal operation of the self-styled air traffic control by the secessionist entity, the Department of Civil Aviation of Cyprus is doing its utmost to ensure the safe provision of air traffic services within the Nicosia FIR in its entirety," the Cyprus government told The Associated Press late Wednesday.

Originally published on Towards AI. In recent years, air traffic has become a serious issue in the world. Delays in air traffic are caused by factors such as air system delays, security delays, airline delays, late aircraft delays, and weather delays. Air Traffic Control (ATC) will become more complex in the future decades as aviation grows and becomes more complex, and it must be improved to ensure aviation safety. Nowadays, Artificial Intelligence (AI) plays an important role in data management and ATC decision-making.

Autonomous transportation assistance isn't limited to cars. Airbus has started testing a pilot assistance feature, DragonFly, that could save an aircraft in an emergency. The system can automatically divert a flight in an emergency. It can not only pick a flight path to the best airport (using factors like airspace rules and weather), but communicate with air traffic control and an airline's operations center. If the pilots are incapacitated, the aircraft can still land safely.

On July 13, Boston's Merlin Labs announced that it would be working with the US Air Force to add autonomy to the C-130J Super Hercules cargo transport plane. Merlin's technology is a kind of advanced auto-copilot, designed to take over the responsibilities of one crew member in flight while being supervised by a human pilot. If the technology delivers as promised, it will allow planes that normally fly with two human pilots to operate with just one, and could even allow single-seater planes to fly fully autonomously. The same day that Merlin announced its partnership with the Air Force, it also announced a second round of $105 million in funding, which combined with a first round means the company has $130 million of runway to develop its technologies. This funding, says Merlin Labs CEO Matthew George, will help the company continue to develop "the world's most capable, safest and flexible pilot, that will eventually enable very large aircraft to fly with reduced crew and small aircraft to fly totally uncrewed."