Cranes remove wrecked carriages of a train crash between a Renfe AVE train and an Iryo train, one day after the deadly accident in Urda, in the province of Toledo, on Thursday. TOLEDO, SPAIN - Spain began demanding answers on Thursday after its second high-speed train collision this year killed 69 people and injured scores, with distraught relatives desperately seeking news about their loved ones. One of Europe's deadliest rail disasters this century struck south of Madrid on Wednesday morning when a service by state operator Renfe ploughed into the back of a stationary train belonging to private Spanish company Iryo. Manuel San Emeterio, whose 54-year-old brother Pepe is missing, came to the central city of Toledo to provide DNA samples to the Civil Guard. In a time of both misinformation and too much information, quality journalism is more crucial than ever.

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Playful bear cubs and a swirling superpod of dolphins compete for People's Choice honors. Josef has wanted to photograph lynxes for a long time. He was delighted when the opportunity arose to spend two weeks observing them from a hide at Torre de Juan Abad, Ciudad Real, Spain. It's common for young lynxes to play with their prey before killing it. This one repeatedly threw the rodent high in the air and caught it again.

We present a hybrid neural network model for inferring the position of mobile robots using Channel State Information (CSI) data from a Massive MIMO system. By leveraging an existing CSI dataset, our approach integrates a Convolutional Neural Network (CNN) with a Multilayer Perceptron (MLP) to form a Hybrid Neural Network (HyNN) that estimates 2D robot positions. CSI readings are converted into synthetic images using the TINTO tool. The localisation solution is integrated with a robotics simulator, and the Robot Operating System (ROS), which facilitates its evaluation through heterogeneous test cases, and the adoption of state estimators like Kalman filters. Our contributions illustrate the potential of our HyNN model in achieving precise indoor localisation and navigation for mobile robots in complex environments. The study follows, and proposes, a generalisable procedure applicable beyond the specific use case studied, making it adaptable to different scenarios and datasets.

We used a single RTX 2080 Ti GPU. While T5-small underperforms its larger version, T5-11B, the latter has 11 billion parameters. Gabon and South Africa, are ranked 119th and 121st, respectively . ANSWER: 119th HUMAN: What is Gabon ' s ranking? ColdGAN: What is Gabon ' s rank on the HDI?

NATO Secretary General Mark Rutte gives insight on the talks between President Donald Trump, Volodymyr Zelenskyy and European leaders, security guarantees for Ukraine and more on'The Ingraham Angle.' Two German warplanes were scrambled overnight from Romania after Russia launched a large-scale missile and drone attack in Ukraine less than a mile from the NATO borderline. Romania's Ministry of Defense said on Wednesday that two German Eurofighter Typhoon aircraft, stationed at Romania's Mihail Kogălniceanu Air Base as part of NATO's Enhanced Air Policing mission, were deployed "to monitor the air situation," but noted that this time no Russian aircraft or projectiles crossed the NATO border. Despite last week's talks between Russian President Vladimir Putin and President Donald Trump, Moscow has continued its aerial bombardment of Ukraine, including in an overnight attack that targeted oil and port facilities in the Odesa region on and near the Danube River, which separates the Ukrainian border with the allied NATO nation of Romania. The Eurofighter EF-2000 Typhoon of the German Air Force takes off from Los Llanos military air base during the Tactical Leadership Program in Albacete, Spain, on Nov. 21, 2024. The deployment of NATO jets comes after numerous incidents in recent weeks have increasingly threatened, and even crossed, NATO borders as the U.S. and Europe continue to push for Russia to end its war.

In this paper, we tackle the Bayesian estimation of point process intensity as a function of covariates. We propose a novel augmentation of permanental process called augmented permanental process, a doubly-stochastic point process that uses a Gaussian process on covariate space to describe the Bayesian a pri-ori uncertainty present in the square root of intensity, and derive a fast Bayesian estimation algorithm that scales linearly with data size without relying on either domain discretization or Markov Chain Monte Carlo computation. The proposed algorithm is based on a non-trivial finding that the representer theorem, one of the most desirable mathematical property for machine learning problems, holds for the augmented permanental process, which provides us with many significant computational advantages. We evaluate our algorithm on synthetic and real-world data, and show that it outperforms state-of-the-art methods in terms of predictive accuracy while being substantially faster than a conventional Bayesian method.

This work presents a user-centric recommendation framework, designed as a pipeline with four distinct, connected, and customizable phases. These phases are intended to improve explainability and boost user engagement. We have collected the historical Last.fm track playback records of a single user over approximately 15 years. The collected dataset includes more than 90,000 playbacks and approximately 14,000 unique tracks. From track playback records, we have created a dataset of user temporal contexts (each row is a specific moment when the user listened to certain music descriptors). As music descriptors, we have used community-contributed Last.fm tags and Spotify audio features. They represent the music that, throughout years, the user has been listening to. Next, given the most relevant Last.fm tags of a moment (e.g. the hour of the day), we predict the Spotify audio features that best fit the user preferences in that particular moment. Finally, we use the predicted audio features to find tracks similar to these features. The final aim is to recommend (and discover) tracks that the user may feel like listening to at a particular moment. For our initial study case, we have chosen to predict only a single audio feature target: danceability. The framework, however, allows to include more target variables. The ability to learn the musical habits from a single user can be quite powerful, and this framework could be extended to other users.