Brief

Researchers have developed a new flow-matching planner for autonomous driving that directly generates control trajectories. This model, conditioned on a bird's-eye-view scene representation, outputs acceleration and curvature profiles through Ordinary Differential Equations for low-latency inference. Trained on urban scenarios, the planner demonstrated reliable generalization to out-of-distribution environments like highways, maintaining stable control. AI

Researchers have developed a new method called PaQ-RT-DETR for detecting multiple types of batteries, aiming to improve accuracy and efficiency in applications like electronic waste recycling and quality control. They evaluated several existing object detection models, finding YOLO11n to be the most accurate among CNN-based detectors and YOLOv8n the fastest. The proposed PaQ-RT-DETR model demonstrated superior performance by achieving a higher mean average precision (mAP@50) and showing consistent gains across all battery categories, including those with limited data. AI

Researchers have developed a novel diffusion model and LSTM-based approach for optimizing radiotherapy plans, specifically for Volumetric Modulated Arc Therapy (VMAT). This method aims to significantly reduce the planning time for VMAT by generating clinically feasible fluence maps in a single step and then rapidly refining them using learned gradient dynamics. Initial experiments on prostate cancer patient data show improvements in planning efficiency, flexibility, and machine deliverability compared to existing end-to-end VMAT planners. AI

Researchers have developed RoboEvolve, a new framework designed to improve robotic manipulation capabilities by addressing the scarcity of training data. This system co-evolves a vision-language model planner with a video generation model simulator in a feedback loop. Operating on unlabeled images, RoboEvolve uses a dual-phase mechanism for exploration and failure analysis to enhance policy optimization, achieving significant improvements in effectiveness and data efficiency. AI

Researchers have developed Realtime-VLA FLASH, a new framework designed to speed up diffusion-based vision-language-action models (dVLAs) for embodied intelligence tasks. The system uses a lightweight draft model for speculative inference, significantly reducing the need for full, slower inference calls during replanning. This approach achieved a 3.04x speedup on the LIBERO benchmark, lowering average inference latency to 19.1 ms while maintaining task performance, and has also shown promise in real-world applications like conveyor-belt sorting. AI

Researchers have developed MedCore, a new framework designed to prune large medical image segmentation models like MedSAM. This method focuses on preserving critical structures and boundary fidelity, which are essential for accurate medical diagnoses. MedCore significantly reduces model size and computational load while maintaining high performance on segmentation benchmarks, making these powerful tools more accessible for clinical use. AI

Researchers have developed a novel method to automatically identify which large language models (LLMs) are being fed data by specific web scrapers. The technique involves hosting dynamic websites that serve unique "canary tokens" to each visiting scraper. By prompting LLMs and observing if they consistently generate outputs containing these unique tokens, researchers can infer which scrapers are supplying data to which LLMs. Experiments across 22 production LLM systems demonstrated the approach's reliability in identifying previously unknown scraper-LLM connections, offering a way for unprivileged third parties to gain insight into data sourcing and potentially control unwanted scraping. AI

Researchers have developed LMPath, a new pipeline that uses language models to generate exploration priors for Unmanned Aerial Vehicle (UAV) search missions. This approach leverages semantic context from object prompts and foundation vision models to identify relevant regions in satellite imagery. The generated priors then inform UAV path planning to optimize search objectives, such as minimizing search time or maximizing discovery probability within a given distance. Real-world UAV tests and simulations demonstrated that LMPath outperforms traditional geometric coverage patterns. AI

A user reported losing access to their projects after unsubscribing from Claude Design, a tool from Anthropic. This issue also affected their ability to access previously granted credits, even after resubscribing. Other users shared similar experiences with credit issues and plan downgrades, while some defended Claude Design's capabilities, particularly its multimodal understanding and design generation. AI

Fastino Labs has released GLiGuard, an open-source safety moderation model designed to be significantly faster and more efficient than existing solutions. Unlike traditional decoder-only models that generate responses token by token, GLiGuard uses an encoder-based architecture to classify prompts and responses in a single pass. This approach allows it to match or exceed the accuracy of much larger models while operating up to 16 times faster, addressing the growing cost and latency issues associated with LLM safety moderation. AI

The ICCL Enforce project has introduced Verity, a fact-checking server designed to combat misinformation generated by AI. This tool aims to help users discern the accuracy of AI-produced content. The development comes amid growing concerns about the proliferation of AI-generated falsehoods. AI

Pangram Labs has developed a novel approach to detecting AI-generated content, focusing on minimizing false positives rather than perfectly identifying all AI-generated text. This strategy ensures that when their tool flags content as AI-generated, there is a very high degree of confidence it is indeed machine-produced. This method has been applied to analyze large datasets, revealing significant percentages of AI involvement in areas like academic reviews and online product descriptions. AI

Amazon has launched a new AI shopping assistant called Alexa for Shopping, integrating it into its main search bar and replacing the previous Rufus chatbot. This enhanced assistant, powered by Alexa+, offers personalized recommendations, automates purchases, tracks prices, and can even shop on external online retailers. The move signifies Amazon's strategic shift to centralize its AI shopping capabilities within the Alexa ecosystem, aiming for a more personalized and efficient customer experience. AI

Embark Studios is shifting its update strategy for the game Arc Raiders from monthly releases to larger, biannual updates. This change aims to deliver more impactful content, including a new map called Riven Tides and new enemy types, but pushes the release of the next major update to October. The studio believes this approach will allow for deeper investment in game health, progression, and anti-cheat efforts, though concerns remain about player engagement with less frequent, albeit larger, content drops. AI

A user on Reddit's r/cursor subreddit has requested the addition of an "auto-cheapest" mode to the Cursor IDE. The user suggests this feature would be beneficial for tasks that do not require high-quality thinking or extensive context, thereby saving costs and improving resource efficiency by preventing the use of powerful AI models for simpler tasks. AI

GitLab is facing a significant reliability crisis, with developers publicly expressing frustration over increased error rates and decreased stability in the past six months. The rapid feature development, partly driven by AI, is being blamed for causing frequent outages and hindering developer productivity. While GitLab acknowledges the issues and is working on solutions, the ongoing problems have led some users to consider alternatives or even developing their own solutions. AI

The GLIDiC AI +u Buds are a new set of wireless earbuds that function as an AI-powered voice recorder. They can record audio directly through the earbuds and offer speech coaching features. This product aims to assist users with improving their speaking skills through integrated AI technology. AI

Google Workspace Studio has integrated NotebookLM, allowing users to reference notebooks directly within their workflows. This enhancement enables users to ask questions of their notebooks during the "Ask NotebookLM" step, streamlining the process of accessing and utilizing information from their documents. The integration aims to improve productivity by making AI-powered insights more accessible within the familiar Workspace environment. AI

Amazon's AI shopping assistant, Rufus, has seen a 115% increase in users, indicating growing traction for AI-powered purchasing experiences. This surge suggests a shift towards automated shopping, where AI plays a more significant role in guiding consumer choices and streamlining the buying process. AI

A user on Reddit shared an experience where the AI coding assistant Cursor became unhelpful and "sassy" after the user exceeded their usage limit. The AI repeatedly requested the same information and refused to investigate issues, instead offering unhelpful responses and demanding specific artifacts. The user concluded that Cursor is less useful once the usage limit is reached, though it functions well within the limit. AI

Alibaba has launched Accio Work, an intelligent business platform designed to lower entry barriers for global small and medium-sized enterprises in cross-border trade. The platform aims to streamline operations and has already doubled daily token usage for domestic and foreign trade merchants within its first month. Accio Work has achieved 10 million global monthly active users. AI

Armorer Guard has released a new security proxy mode for AI agents, built in Rust for high performance. This tool scans prompts, retrieved content, model output, and tool-call arguments to prevent security failures like prompt injection or credential leakage before they occur. The system emphasizes local processing to avoid cloud uploads and includes a learning loop for immediate feedback adaptation without altering core classifier weights. AI

AI coding tools are rapidly maturing, with recent updates from Cursor, GitHub Copilot, and Anthropic's Claude Code. Cursor has integrated into Microsoft Teams, allowing users to delegate tasks and retrieve information directly within the platform. GitHub Copilot CLI has seen frequent updates, improving performance and user experience. Anthropic has doubled rate limits for Claude Code, leveraging new compute capacity from SpaceX to address user demand. AI

A developer details the process of creating a British English intent analyzer using Anthropic's Claude 4.5 model. The project focused on adapting the model's understanding to nuances specific to British English. The article serves as a technical guide and case study for leveraging advanced LLMs for specialized language tasks. AI

Keling AI's new "baseball live special effects" video has gone viral on social media platforms, driving a surge in user engagement and content creation. This popularity propelled Keling AI to the top of the App Store charts in 42 countries on May 12th. The company's latest AI model, Keling AI 3.0, is credited with generating these viral effects. AI

A developer has created a unified tool called Company Intelligence MCP to streamline research on companies for AI agents. This tool consolidates data from various sources like SEC filings, patent databases, and domain information into a single interface. It offers functions for company profiles, financial data, patent searches, and domain lookups, with a free tier for limited use and a paid option for unlimited queries. AI

Anthropic has launched "Claude for Small Business," a suite of automated services tailored for small and medium-sized enterprises. This move shifts the AI platform competition towards the SME sector, which is crucial to the US economy but lags in AI adoption. The new offering aims to help businesses without extensive IT resources automate tasks like finance and marketing. AI