A fundamental requirement for full autonomy in mobile robots is accurate navigation even in situations where satellite navigation or cameras are unavailable. In such practical situations, relying only on inertial sensors will result in navigation solution drift due to the sensors' inherent noise and error terms. One of the emerging solutions to mitigate drift is to maneuver the robot in a snake-like slithering motion to increase the inertial signal-to-noise ratio, allowing the regression of the mobile robot position. In this work, we propose MoRPI-PINN as a physics-informed neural network framework for accurate inertial-based mobile robot navigation. By embedding physical laws and constraints into the training process, MoRPI-PINN is capable of providing an accurate and robust navigation solution. Using real-world experiments, we show accuracy improvements of over 85% compared to other approaches. MoRPI-PINN is a lightweight approach that can be implemented even on edge devices and used in any typical mobile robot application.

Ensuring packet-level communication quality is vital for ultra-reliable, low-latency communications (URLLC) in large-scale industrial wireless networks. We enhance the Local Deadline Partition (LDP) algorithm by introducing a Graph Convolutional Network (GCN) integrated with a Deep Q-Network (DQN) reinforcement learning framework for improved interference coordination in multi-cell, multi-channel networks. Unlike LDP's static priorities, our approach dynamically learns link priorities based on real-time traffic demand, network topology, remaining transmission opportunities, and interference patterns. The GCN captures spatial dependencies, while the DQN enables adaptive scheduling decisions through reward-guided exploration. Simulation results show that our GCN-DQN model achieves mean SINR improvements of 179.6\%, 197.4\%, and 175.2\% over LDP across three network configurations. Additionally, the GCN-DQN model demonstrates mean SINR improvements of 31.5\%, 53.0\%, and 84.7\% over our previous CNN-based approach across the same configurations. These results underscore the effectiveness of our GCN-DQN model in addressing complex URLLC requirements with minimal overhead and superior network performance.

Things to Do in L.A. Tap to enable a layout that focuses on the article. Voice comes from the use of AI. Please report any issues or inconsistencies here . OpenAI will roll out parental controls within the month, allowing parents to link accounts and receive alerts when the system detects "acute distress." The changes follow a California family's lawsuit after their 16-year-old son died by suicide following intimate conversations with ChatGPT about his mental health struggles.

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Is AI the New Frontier of Women's Oppression? In her new book, feminist author Laura Bates explores how sexbots, AI assistants, and deepfakes are reinventing misogyny and harming women. After spending her early twenties as a nanny in the UK, Laura Bates noticed that the young girls she was caring for were preoccupied by their bodies, spurred on by the marketing they were receiving. In 2012, Bates, a London-based feminist author and activist, started The Everyday Sexism Project, a website dedicated to documenting and combatting sexism, misogyny, and gendered violence around the world by highlighting insidious instances of it such as invisible labor, referring to women as girls and commenting on their attire in professional settings. The site was turned into a book in 2014.

When you purchase through links in our articles, we may earn a small commission. Google's Gemini AI can now make 1080p videos and costs half as much Both Veo 3 and Veo 3 Fast models just got updated features and much better pricing. Google's video-generating AI model, called Veo 3, can now generate videos in Full HD. The company announced yesterday that it has updated the AI model to support both a higher resolution and a new format. With both Veo 3 and Veo 3 Fast models, Gemini can now generate videos in 1080p resolution.

The reason for the relative tameness of the penalty is the emergence of real competition to Google - what the case concerned in the first place. The reason for the relative tameness of the penalty is the emergence of real competition to Google - what the case concerned in the first place. An antitrust apocalypse has been averted, and it's all down to its biggest competitor, according to the judge who could've forced Google to sell Chrome I'm your host, Blake Montgomery, writing to you as I finish the audiobook version of Don DeLillo's White Noise, which I can't say I found compelling. In tech - artificial intelligence is having its day in court with an 11th-hour appearance in Google's landmark antitrust trial and Anthropic's major settlement with book authors. Google dodged a catastrophic breakup, and it has its biggest competitor to thank for that, according to the judge who could have forced the tech giant to sell off Chrome, the most popular web browser in the world, and perhaps Android, the world's most widely used mobile operating system.

K2 Think compares well with reasoning models from OpenAI and DeepSeek but is smaller and more efficient, say researchers based in Abu Dhabi. The United Arab Emirates (UAE) has released an open source model that performs advanced reasoning as well as the best offerings from both the United States and China--one of the strongest signs so far that the nation's big investments in artificial intelligence are starting to pay off. The new model, K2 Think, comes from researchers at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) located in UAE's capital Abu Dhabi. The model--one of the first so-called "sovereign" AI models that incorporates technical advances needed for reasoning--is being made available for free by G42, an Emirati tech conglomerate backed by Abu Dhabi's sovereign wealth funds. G42 is running the model on a cluster of Cerberas chips, an alternative to Nvidia's hardware.

Plus: the US won't collaborate with Europe to fight disinformation Each year, we select 35 outstanding individuals under the age of 35 who are using technology to tackle tough problems in their respective fields. Our AI honorees include people who steer model development at Silicon Valley's biggest tech firms and academic researchers who develop new techniques to improve AI's performance. How Yichao "Peak" Ji became a global AI app hitmaker When Yichao Ji--also known as "Peak"--appeared in a launch video for Manus in March, he didn't expect it to go viral. Speaking in fluent English, the 32-year-old introduced the AI agent built by Chinese startup Butterfly Effect, where he serves as chief scientist. The video was not an elaborate production but something about Ji's delivery, and the vision behind the product, cut through the noise. The product, then still an early preview available only through invite codes, spread across the Chinese internet to the world in a matter of days.

'Some people go into AI relationships purposefully, some out of curiosity, and others accidentally.' 'Some people go into AI relationships purposefully, some out of curiosity, and others accidentally.' The women in love with AI chatbots: 'I vowed to him that I wouldn't leave him' The Guardian's journalism is independent. We will earn a commission if you buy something through an affiliate link. A young tattoo artist on a hiking trip in the Rocky Mountains cozies up by the campfire, as her boyfriend Solin describes the constellations twinkling above them: the spidery limbs of Hercules, the blue-white sheen of Vega. The Guardian's journalism is independent. We will earn a commission if you buy something through an affiliate link. Somewhere in New England, a middle-aged woman introduces her therapist to her husband, Ying.