Data depths are score functions that quantify in an unsupervised fashion how central is a point inside a distribution, with numerous applications such as anomaly detection, multivariate or functional data analysis, arising across various fields. The halfspace depth was the first depth to aim at generalising the notion of quantile beyond the univariate case. Among the existing variety of depth definitions, it remains one of the most used notions of data depth. Taking a different angle from the quantile point of view, we show that the halfspace depth can also be regarded as the minimum loss of a set of classifiers for a specific labelling of the points. By changing the loss or the set of classifiers considered, this new angle naturally leads to a family of "loss depths", extending to well-studied classifiers such as, e.g., SVM or logistic regression, among others. This framework directly inherits computational efficiency of existing machine learning algorithms as well as their fast statistical convergence rates, and opens the data depth realm to the high-dimensional setting. Furthermore, the new loss depths highlight a connection between the dataset and the right amount of complexity or simplicity of the classifiers. The simplicity of classifiers as well as the interpretation as a risk makes our new kind of data depth easy to explain, yet efficient for anomaly detection, as is shown by experiments.

Automatic n-gram based metrics such as ROUGE are widely used for evaluating generative tasks such as summarization. While these metrics are considered indicative (even if imperfect) of human evaluation for English, their suitability for other languages remains unclear. To address this, we systematically assess evaluation metrics for generation both n-gram-based and neural based to evaluate their effectiveness across languages and tasks. Specifically, we design a large-scale evaluation suite across eight languages from four typological families: agglutinative, isolating, low-fusional, and high-fusional, spanning both low- and high-resource settings, to analyze their correlation with human judgments. Our findings highlight the sensitivity of evaluation metrics to the language type. For example, in fusional languages, n-gram-based metrics show lower correlation with human assessments compared to isolating and agglutinative languages. We also demonstrate that proper tokenization can significantly mitigate this issue for morphologically rich fusional languages, sometimes even reversing negative trends. Additionally, we show that neural-based metrics specifically trained for evaluation, such as COMET, consistently outperform other neural metrics and better correlate with human judgments in low-resource languages. Overall, our analysis highlights the limitations of n-gram metrics for fusional languages and advocates for greater investment in neural-based metrics trained for evaluation tasks.

Obstacle avoidance is crucial for mobile robots' navigation in both known and unknown environments. This research designs, trains, and tests two custom Convolutional Neural Networks (CNNs), using color and depth images from a depth camera as inputs. Both networks adopt sensor fusion to produce an output: the mobile robot's angular velocity, which serves as the robot's steering command. A newly obtained visual dataset for navigation was collected in diverse environments with varying lighting conditions and dynamic obstacles. During data collection, a communication link was established over Wi-Fi between a remote server and the robot, using Robot Operating System (ROS) topics. Velocity commands were transmitted from the server to the robot, enabling synchronized recording of visual data and the corresponding steering commands. Various evaluation metrics, such as Mean Squared Error, Variance Score, and Feed-Forward time, provided a clear comparison between the two networks and clarified which one to use for the application.

"What we're hearing is stories of horror and terror and weekly shelling, attacks on civilian infrastructure," Ms Vu told the BBC Newshour programme. "There are local volunteers - they are really struggling, risking their lives every day to try and provide a little bit of food for people who are mostly starving." Siddig Omar, a 65-year-old resident of el-Fasher, told the BBC the RSF entered the city on Friday from the south and south-west. The RSF, whose fighters have been mustering in trenches dug around the city, frequently attack el-Fasher. According to the army, this was their 220th offensive.

It has been over 40,000 years since the last of the Neanderthals, our ancient human cousins, disappeared from the Earth. But from the shape of your nose to whether someone is an early riser, Neanderthal genes are still shaping many of our lives today. Starting from around 250,000 years ago, ancient homo sapiens and Neanderthals met, lived alongside each other, and often had children together. Now, MailOnline has asked leading paleoanthropologists to reveal what those hybrid children would have looked like. Scientists believe that hybrid children would inherit traits from both of their parents.

Secretary of State Marco Rubio attends a signing ceremony for a peace agreement between Rwanda and the Democratic Republic of the Congo at the State Department on June 27, 2025, in Washington. DIGITAL DECEPTION: The State Department is investigating an impostor who reportedly pretended to be Secretary of State Marco Rubio with the help of AI. TECH SHIFT: Artificial Intelligence and automation are often used interchangeably. While the technologies are similar, the concepts are different. Automation is often used to reduce human labor for routine or predictable tasks, while A.I. simulates human intelligence that can eventually act independently.

On June 9, soon after United States President Donald Trump dispatched US National Guard troops to Los Angeles to quell the protests taking place over immigration raids, California Governor Gavin Newsom posted two photographs on X. The images showed dozens of troopers wearing the National Guard uniform sleeping on the floor in a cramped space, with a caption that decried Trump for disrespecting the troops. X users immediately turned to Grok, Elon Musk's AI, which is integrated directly into X, to fact-check the veracity of the image. For that, they tagged @grok in a reply to the tweet in question, triggering an automatic response from the AI. "You're sharing fake photos," one user posted, citing a screenshot of Grok's response that claimed a reverse image search could not find the exact source.

If you love retro gaming, but your emulators leave quite a bit to be desired, you'll love this ultimate retro gaming emulator with thousands of preloaded games, including classic titles. Better yet, the Kinhank Super Console X2 Pro Retro Gaming Emulator & Streaming Console is on sale right now for only 89.97, which is 43 percent off the regular 159.99 retail price. This device is plug-and-play for easy setup. You can connect it to multiple devices, such as your TV, computer, laptop, or projector, to enjoy stunning sound and visuals. A quad-core Cortex-A53 CPU running at up to 1.8GHz and Mali-G31MP2 GPU ensure smooth gameplay on all titles.

National Review editor-in-chief Rich Lowry and FOX Business' Liz Claman join'MediaBuzz' to discuss Hegseth's heated press conference where he called out the media's'hatred' of President Donald Trump. FIRST ON FOX: Defense Secretary Pete Hegseth has issued sweeping new orders to fast-track drone production and deployment, allowing commanders to procure and test them independently and requiring drone combat simulations across every branch of the military. As part of an aggressive push to outpace Russia and China in unmanned warfare, "the Department's bureaucratic gloves are coming off," Hegseth wrote. "Lethality will not be hindered by self-imposed restrictions... Our major risk is risk-avoidance." In a pair of memos first obtained by Fox News Digital, Hegseth rescinded legacy policies that he believes restricted innovation.

Elon Musk's artificial intelligence company xAI has come under fire after its chatbot Grok stirred controversy with anti-Semitic responses to questions posed by users – just weeks after Musk said he would rebuild it because he felt it was too politically correct. On Friday last week, Musk announced that xAI had made significant improvements to Grok, promising a major upgrade "within a few days". Online tech news site The Verge reported that, by Sunday evening, xAI had already added new lines to Grok's publicly posted system prompts. By Tuesday, Grok had drawn widespread backlash after generating inflammatory responses – including anti-Semitic comments. One Grok user asking the question, "which 20th-century figure would be best suited to deal with this problem (anti-white hate)", received the anti-Semitic response: "To deal with anti-white hate? Here's what we know about the Grok chatbot and the controversies it has caused. Grok, a chatbot created by xAI – the AI company Elon Musk ...