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 ...

Modern intelligent transportation systems rely on accurate spatiotemporal traffic analysis to optimize urban mobility and infrastructure resilience. However, pervasive missing data caused by sensor failures and heterogeneous sensing gaps fundamentally hinders reliable traffic modeling. This paper proposes a Neural Canonical Polyadic Factorization (NCPF) model that synergizes low-rank tensor algebra with deep representation learning for robust traffic data imputation. The model innovatively embeds CP decomposition into neural architecture through learnable embedding projections, where sparse traffic tensors are encoded into dense latent factors across road segments, time intervals, and mobility metrics. A hierarchical feature fusion mechanism employs Hadamard products to explicitly model multilinear interactions, while stacked multilayer perceptron layers nonlinearly refine these representations to capture complex spatiotemporal couplings. Extensive evaluations on six urban traffic datasets demonstrate NCPF's superiority over six state-of-the-art baselines. By unifying CP decomposition's interpretable factor analysis with neural network's nonlinear expressive power, NCPF provides a principled yet flexible approaches for high-dimensional traffic data imputation, offering critical support for next-generation transportation digital twins and adaptive traffic control systems.

Large Language Model (LLM) agents face security vulnerabilities spanning AI-specific and traditional software domains, yet current research addresses these separately. This study bridges this gap through comparative evaluation of Function Calling architecture and Model Context Protocol (MCP) deployment paradigms using a unified threat classification framework. We tested 3,250 attack scenarios across seven language models, evaluating simple, composed, and chained attacks targeting both AI-specific threats (prompt injection) and software vulnerabilities (JSON injection, denial-of-service). Function Calling showed higher overall attack success rates (73.5% vs 62.59% for MCP), with greater system-centric vulnerability while MCP exhibited increased LLM-centric exposure. Attack complexity dramatically amplified effectiveness, with chained attacks achieving 91-96% success rates. Counterintuitively, advanced reasoning models demonstrated higher exploitability despite better threat detection. Results demonstrate that architectural choices fundamentally reshape threat landscapes. This work establishes methodological foundations for cross-domain LLM agent security assessment and provides evidence-based guidance for secure deployment. Code and experimental materials are available at https: // github. com/ theconsciouslab-ai/llm-agent-security.