This research examines the role of Generative Artificial Intelligence (AI) in enhancing citizen engagement in participatory budgeting. In response to challenges like declining civic participation and increased societal polarization, the study explores how online political participation can strengthen democracy and promote social equity. By integrating Generative AI into public consultation platforms, the research aims to improve citizen proposal formulation and foster effective dialogue between citizens and government. It assesses the capacities governments need to implement AI-enhanced participatory tools, considering technological dependencies and vulnerabilities. Analyzing technological structures, actors, interests, and strategies, the study contributes to understanding how technological advancements can reshape participatory institutions to better facilitate citizen involvement. Ultimately, the research highlights how Generative AI can transform participatory institutions, promoting inclusive, democratic engagement and empowering citizens.

This study presents the development and optimization of a deep learning model based on Long Short-Term Memory (LSTM) networks to predict short-term hourly electricity demand in Córdoba, Argentina. Integrating historical consumption data with exogenous variables (climatic factors, temporal cycles, and demographic statistics), the model achieved high predictive precision, with a mean absolute percentage error of 3.20\% and a determination coefficient of 0.95. The inclusion of periodic temporal encodings and weather variables proved crucial to capture seasonal patterns and extreme consumption events, enhancing the robustness and generalizability of the model. In addition to the design and hyperparameter optimization of the LSTM architecture, two complementary analyses were carried out: (i) an interpretability study using Random Forest regression to quantify the relative importance of exogenous drivers, and (ii) an evaluation of model performance in predicting the timing of daily demand maxima and minima, achieving exact-hour accuracy in more than two-thirds of the test days and within abs(1) hour in over 90\% of cases. Together, these results highlight both the predictive accuracy and operational relevance of the proposed framework, providing valuable insights for grid operators seeking optimized planning and control strategies under diverse demand scenarios.

ISAC is regarded as a promising technology for next-generation communication systems, enabling simultaneous data transmission and target sensing. Among various tasks in ISAC, scatter sensing plays a crucial role in exploiting the full potential of ISAC and supporting applications such as autonomous driving and low-altitude economy. However, most existing methods rely on either waveform and hardware modifications or traditional signal processing schemes, leading to poor compatibility with current communication systems and limited sensing accuracy. To address these challenges, we propose CSIYOLO, a framework that performs scatter localization only using estimated CSI from a single base station-user equipment pair. This framework comprises two main components: anchor-based scatter parameter detection and CSI-based scatter localization. First, by formulating scatter parameter extraction as an image detection problem, we propose an anchor-based scatter parameter detection method inspired by You Only Look Once architectures. After that, a CSI-based localization algorithm is derived to determine scatter locations with extracted parameters. Moreover, to improve localization accuracy and implementation efficiency, we design an extendable network structure with task-oriented optimizations, enabling multi-scale anchor detection and better adaptation to CSI characteristics. A noise injection training strategy is further designed to enhance robustness against channel estimation errors. Since the proposed framework operates solely on estimated CSI without modifying waveforms or signal processing pipelines, it can be seamlessly integrated into existing communication systems as a plugin. Experiments show that our proposed method can significantly outperform existing methods in scatter localization accuracy with relatively low complexities under varying numbers of scatters and estimation errors.

Is recognising Palestine a way to'save face' for Western leaders? This is the moment a drone launched by Yemen's Houthis exploded in the Israeli city of Eilat. Footage shows it over the southern port city before bursting into flames in a residential neighbourhood, injuring at least 22 people, after Israeli military failed to intercept it. Finland's president hails rise of global south at UNGA Estonia calls Russian jets violating its airspace a'hostile act'

Is recognising Palestine a way to'save face' for Western leaders? A Spanish naval vessel will join the Global Sumud Flotilla for Gaza to provide assistance and, if necessary, conduct rescues, Spanish Prime Minister Pedro Sanchez has said. Italy earlier announced it was dispatching a frigate after a night of drone attacks on the humanitarian flotilla opposed by the Israeli government. Finland's president hails rise of global south at UNGA Estonia calls Russian jets violating its airspace a'hostile act'

Vladimir Putin will keep driving the war forward wider and deeper if he is not stopped, Ukraine's President Zelensky has warned. Speaking at the UN's General Assembly in New York, Zelensky said more countries would be met with Russian aggression unless allies displayed a united front and ramped up support. He said all nations were threatened by a global arms race, as military technology advances, adding that weapons decide who survives and called for global rules on AI. His comments come after US President Donald Trump shifted his position on the Russia-Ukraine war, saying for the first time that Ukraine could win back all of its land. Zelensky criticised international institutions, suggesting they are too weak to offer Ukraine safety guarantees, adding - in apparent reference to Nato - that being part of a long-standing military alliance doesn't automatically mean you are safe. We are now living through the most destructive arms race in human history, he said.

A single AI model trained to control numerous robotic bodies can operate unfamiliar hardware and adapt eerily well to serious injuries. A four-legged robot that keeps crawling even after all four of its legs have been hacked off with a chainsaw is the stuff of nightmares for most people. For Deepak Pathak, cofounder and CEO of the startup Skild AI, the dystopian feat of adaptation is an encouraging sign of a new, more general kind of robotic intelligence. "This is something we call an omni-bodied brain," Pathak tells me. His startup developed the generalist artificial intelligence algorithm to address a key challenge with advancing robotics: "Any robot, any task, one brain.

How is Russia replenishing its military? What is a'coalition of the willing'? How China forgot promises and'debts' to Ukraine How are Europe, the US pulling apart on Ukraine? 'Ukraine is only first': Zelenskyy warns against Putin's expansionist goals Ukrainian President Volodymyr Zelenskyy says the world is in "the most destructive arms race in history" as he calls on the international community to act against Russia now, asserting in his address to the United Nations General Assembly that President Vladimir Putin wants to expand his war in Europe . "Ukraine is only the first, and now Russian drones are already flying across Europe, and Russian operations are already spreading across countries, and Putin wants to continue this war by expanding it," Zelenskyy said on Wednesday at UN headquarters in New York. Moscow has denied the claims of incursions into NATO members' airspace, accusing European powers of levying baseless accusations.

The commander of Nasa's next mission to the Moon said that he and his crew would see things that no human has ever seen. Reid Wiseman told a news conference that it was likely that his spacecraft would fly over large areas of the Moon that previous Apollo missions had never mapped. Yesterday, Nasa announced it hoped it would be able to launch the first crewed Moon mission in 50 years as early as February 2026 . Mission specialist Christina Koch explained that the astronauts would be able to study the lunar surface in exquisite detail for a full three hours. Believe it or not, human eyes are one of the best scientific instruments that we have, she said.

Demand for AI chips is booming--and so is the need for software to run them. Chris Lattner's startup Modular just raised $250 million to build the best developer tools for AI hardware. At a certain point between building Apple's developer tools, leading a core part of Google's AI infrastructure team, and clashing with Elon Musk during a stint as Tesla's Autopilot chief, Chris Lattner's vision for his life's work started to come into focus. AI was taking over the world, and demand was growing for the chips that powered it. But the software stack for those chips was dominated by just a few big companies.