Authorities estimate that at least 10,000 people remain in the enclave of Ceuta after a record surge of 72,000 migrants crossed from Morocco to Ceuta over the course of two days in late July, overwhelming local resources and creating a humanitarian crisis. UN Chief Guterres calls for ban on'killer robots' 'Licence to kill:' French protests decry police use-of-force bill Airplane makes'miracle' landing as Typhoon Dujuan hits Japan

Ryan Day hints at day of reckoning, vows to make'hard decisions' after Ohio State's late-game Texas breakdown Josh Jacobs' ex-girlfriend files motion to permanently seal evidence in domestic violence case Ex-WWE star touts NXT roster, names tag team he'd like The Headbangers to go up against one day CC Sabathia says Yankees could do a better job helping young players handle the pinstripes: 'Different beast' Florida State fans pining for Jimbo Fisher's return are living in the past, not in reality Roman Reigns survives Penta's World Heavyweight Championship challenge, LA Knight makes a statement of his own Clancy holdout juror's identity sparks controversial responses Jesse Watters: We're being fed fantasies from a bunch of'sci-fi freaks' Jesse Watters: We're being fed fantasies from a bunch of'sci-fi freaks' Jesse Watters: AI is a huge threat to Democrats' credibility PBS, NPR and the Smithsonian have been taken over by this'left-wing project': Victor Davis Hanson Thomas Crooks FBI documents reveal details about Trump's would-be assassin Thomas Crooks FBI documents reveal details about Trump's would-be assassin DHS chief Mullin says there is'no compassion' over breaking the law Harris was the'weakest possible candidate': Former DNC fundraiser OutKick Sophie Cunningham says she's talked with NBA Commissioner Adam Silver amid search for WNBA's next commissioner On this explosive episode of Don't At Me, Dan breaks down why he believes Engelbert will go down as one of the worst commissioners in sports history. Despite Engelbert claiming gratitude and optimism, Dan argues her tenure was a total trainwreck. Engelbert had a golden opportunity to grow the WNBA around the most hyped player in history, Caitlin Clark, but she failed to capture the moment. As the WNBA searches for its next commissioner, Sophie Cunningham said she has spoken several times with current NBA commissioner Adam Silver, who is in charge of the search for the league's next leader. I have talked to Adam Silver a couple times, and I think he's a great guy who's very knowledgeable and full of wisdom, Cunningham told reporters this week.

Ryan Day hints at day of reckoning, vows to make'hard decisions' after Ohio State's late-game Texas breakdown Josh Jacobs' ex-girlfriend files motion to permanently seal evidence in domestic violence case Ex-WWE star touts NXT roster, names tag team he'd like The Headbangers to go up against one day CC Sabathia says Yankees could do a better job helping young players handle the pinstripes: 'Different beast' Florida State fans pining for Jimbo Fisher's return are living in the past, not in reality Roman Reigns survives Penta's World Heavyweight Championship challenge, LA Knight makes a statement of his own Introducing OutKick's first original animated series, 'Sports Talk with Cal McCallister' Jesse Watters: We're being fed fantasies from a bunch of'sci-fi freaks' Jesse Watters: We're being fed fantasies from a bunch of'sci-fi freaks' Jesse Watters: AI is a huge threat to Democrats' credibility PBS, NPR and the Smithsonian have been taken over by this'left-wing project': Victor Davis Hanson Thomas Crooks FBI documents reveal details about Trump's would-be assassin Thomas Crooks FBI documents reveal details about Trump's would-be assassin DHS chief Mullin says there is'no compassion' over breaking the law Harris was the'weakest possible candidate': Former DNC fundraiser Kylian Mbappé, Vini Jr. and Ibrahima Konaté covered the'We are all Caballas' T-shirts as Spain grapples with migrant crisis Morocco migrants storm Spain's border as Europe faces immigration crisis Moroccan migrants celebrate after storming the Spanish border enclave of Ceuta on Thursday, triggering an immediate military response from Spain. Over 60,000 migrants attempt to cross, highlighting Europe's escalating border security crisis. Experts analyze the geopolitical fallout and the strain on local infrastructure as military forces try to restore order. Three very prominent soccer stars at Real Madrid sparked controversy on Tuesday night after refusing to wear T-shirts showing support for the autonomous city of Ceuta, which has dealt with a migrant crisis since late July. France stars Kylian Mbappé and Ibrahima Konaté, as well as Brazil's Vinícius Júnior, stepped onto the pitch at the Martinez Valero on Tuesday night for their match against Elche covering the shirts which bore the slogan, We are all Caballas, in Spanish.

Legal texts, characterized by complex and specialized terminology, present a significant challenge for Language Models. Adding an underrepresented language, such as Spanish, to the mix makes it even more challenging. While pre-trained models like XLM-RoBERTa have shown capabilities in handling multilingual corpora, their performance on domain specific documents remains underexplored. This paper presents the development and evaluation of MEL, a legal language model based on XLM-RoBERTa-large, fine-tuned on legal documents such as BOE (Bolet\'in Oficial del Estado, the Spanish oficial report of laws) and congress texts. We detail the data collection, processing, training, and evaluation processes. Evaluation benchmarks show a significant improvement over baseline models in understanding the legal Spanish language. We also present case studies demonstrating the model's application to new legal texts, highlighting its potential to perform top results over different NLP tasks.

Large language models excel at creative generation but continue to struggle with the issues of hallucination and bias. While retrieval-augmented generation (RAG) provides a framework for grounding LLMs' responses in accurate and up-to-date information, it still raises the question of bias: which sources should be selected for inclusion in the context? And how should their importance be weighted? In this paper, we study the challenge of cross-lingual RAG and present a dataset to investigate the robustness of existing systems at answering queries about geopolitical disputes, which exist at the intersection of linguistic, cultural, and political boundaries. Our dataset is sourced from Wikipedia pages containing information relevant to the given queries and we investigate the impact of including additional context, as well as the composition of this context in terms of language and source, on an LLM's response. Our results show that existing RAG systems continue to be challenged by cross-lingual use cases and suffer from a lack of consistency when they are provided with competing information in multiple languages. We present case studies to illustrate these issues and outline steps for future research to address these challenges. We make our dataset and code publicly available at https://github.com/manestay/bordIRlines.

Artificial intelligence can spot stealthy cargo transfers between "dark ships", vessels that have switched off their identification transponders. This could make it much easier to track the shadow fleet secretly transferring crude oil in defiance of international sanctions. Such ship-to-ship transfers at sea have skyrocketed since Russia's full-scale invasion of Ukraine spurred the European Union to ban the import of Russian crude oil.

The Strait of Gibraltar is a region characterized by intricate oceanic sub-mesoscale features, influenced by topography, tidal forces, instabilities, and nonlinear hydraulic processes, all governed by the nonlinear equations of fluid motion. In this study, we aim to uncover the underlying physics of these phenomena within 3D MIT general circulation model simulations, including waves, eddies, and gyres. To achieve this, we employ Dynamic Mode Decomposition (DMD) to break down simulation snapshots into Koopman modes, with distinct exponential growth/decay rates and oscillation frequencies. Our objectives encompass evaluating DMD's efficacy in capturing known features, unveiling new elements, ranking modes, and exploring order reduction. We also introduce modifications to enhance DMD's robustness, numerical accuracy, and robustness of eigenvalues. DMD analysis yields a comprehensive understanding of flow patterns, internal wave formation, and the dynamics of the Strait of Gibraltar, its meandering behaviors, and the formation of a secondary gyre, notably the Western Alboran Gyre, as well as the propagation of Kelvin and coastal-trapped waves along the African coast. In doing so, it significantly advances our comprehension of intricate oceanographic phenomena and underscores the immense utility of DMD as an analytical tool for such complex datasets, suggesting that DMD could serve as a valuable addition to the toolkit of oceanographers.

Language Models (LMs) have proven to be useful in various downstream applications, such as summarisation, translation, question answering and text classification. LMs are becoming increasingly important tools in Artificial Intelligence, because of the vast quantity of information they can store. In this work, we present ProP (Prompting as Probing), which utilizes GPT-3, a large Language Model originally proposed by OpenAI in 2020, to perform the task of Knowledge Base Construction (KBC). ProP implements a multi-step approach that combines a variety of prompting techniques to achieve this. Our results show that manual prompt curation is essential, that the LM must be encouraged to give answer sets of variable lengths, in particular including empty answer sets, that true/false questions are a useful device to increase precision on suggestions generated by the LM, that the size of the LM is a crucial factor, and that a dictionary of entity aliases improves the LM score. Our evaluation study indicates that these proposed techniques can substantially enhance the quality of the final predictions: ProP won track 2 of the LM-KBC competition, outperforming the baseline by 36.4 percentage points.

In this work we evaluate the applicability of an ensemble of population models and machine learning models to predict the near future evolution of the COVID-19 pandemic, with a particular use case in Spain. We rely solely in open and public datasets, fusing incidence, vaccination, human mobility and weather data to feed our machine learning models (Random Forest, Gradient Boosting, k-Nearest Neighbours and Kernel Ridge Regression). We use the incidence data to adjust classic population models (Gompertz, Logistic, Richards, Bertalanffy) in order to be able to better capture the trend of the data. We then ensemble these two families of models in order to obtain a more robust and accurate prediction. Furthermore, we have observed an improvement in the predictions obtained with machine learning models as we add new features (vaccines, mobility, climatic conditions), analyzing the importance of each of them using Shapley Additive Explanation values. As in any other modelling work, data and predictions quality have several limitations and therefore they must be seen from a critical standpoint, as we discuss in the text. Our work concludes that the ensemble use of these models improves the individual predictions (using only machine learning models or only population models) and can be applied, with caution, in cases when compartmental models cannot be utilized due to the lack of relevant data.

As the world begins to travel again, Europe is sending migrants a loud message: Stay away! Greek border police are firing bursts of deafening noise from an armored truck over the frontier into Turkey. Mounted on the vehicle, the long-range acoustic device, or "sound cannon," is the size of a small TV set but can match the volume of a jet engine. It's part of a vast array of physical and experimental new digital barriers being installed and tested during the quiet months of the coronavirus pandemic at the 200-kilometer (125-mile) Greek border with Turkey to stop people entering the European Union illegally. Nearby observation towers are being fitted with long-range cameras, night vision, and multiple sensors.