All 3,125 AI stories, newest first · page 74 of 131
OpenAI is calling for an international institute to protect young people from AI risks and expand opportunities. The proposal highlights the need for global safeguards, standards, and research cooperation to ensure AI benefits youth worldwide.
OpenAI has introduced new Codex plugins designed to enhance productivity across various professions. These tools integrate AI capabilities directly into workflows for analysts, marketers, designers, and more.
A new paper identifies critical weaknesses in AI systems that make high-stakes decisions. These systems often fail to account for real-world changes, leading to unexpected and potentially dangerous outcomes. The researchers propose new ways to evaluate and improve these systems.
Researchers created a multi-domain red teaming framework to evaluate how well AI models handle complex medical scenarios. The study found significant gaps in safety and fairness across 11 leading AI models.
Researchers developed a new way to train AI agents for strategic games by delaying reward attribution so that the quality of an action can consider future events and other players' moves.
Researchers created a system where AI models argue like a panel of specialists, turning disagreements into better answers. This could make AI more reliable for complex questions.
Researchers have developed a new protocol to help AI agents work together more effectively. This could make AI systems better at sharing and verifying information, which is crucial as they become more integrated into our daily lives.
Researchers created a new way to test AI's reasoning skills using interactive games. This method evaluates how well AI can gather information, adapt, and make decisions—just like solving a mystery.
Microsoft introduced Project Solara, a new operating system designed for AI agent gadgets. Built on Android, it aims to power a new generation of smart devices with AI capabilities.
MDMA is a new tool that transforms AI responses into interactive web interfaces. It works with any large language model and doesn't require coding skills.
Hugging Face released Holo3.1, a free open-source tool that lets you run AI agents locally. This means you can use AI assistants without sending your data to the cloud.
A new website curates the best open-source AI tools, making it easy to find high-quality projects. Anyone can contribute by submitting new tools via GitHub.
Researchers introduced Grokers, an AI system that builds structured understanding of knowledge graphs by analyzing data upfront. This could make AI interactions faster and more accurate for complex queries.
Harvey Mason Jr., CEO of the Recording Academy, discusses how AI is transforming music and the challenges it poses for the Grammy Awards. The conversation highlights the need for new rules and recognition in the age of generative AI.
Google's Gemini AI played a crucial role in organizing and producing Google I/O 2026. This shows how advanced AI can streamline large-scale event planning and execution.
Researchers developed a new AI system that combines traditional data analysis with language models to predict heart disease risk. This hybrid approach could make early diagnosis faster and more accurate.
Researchers developed a new AI system called ATOM that uses multiple specialized agents to explore different paths for designing molecules. This could lead to faster discovery of new drugs and materials by balancing conflicting goals more effectively.
Adafruit has received a legal demand letter from Fenwick legal counsel on behalf of Flux.ai. The dispute centers on alleged patent infringement, highlighting growing tensions around AI patents and intellectual property in the tech industry.
Researchers created AbaqusAgent, a multi-agent AI system that automates finite element analysis (FEA) for engineering. This could make advanced simulations accessible to non-experts, speeding up product design and reducing errors.
IBM Research explains why AI agents—software that automates complex tasks—are crucial for businesses to use AI at scale. These agents could make AI more practical for everyday work.
Scientists developed a new method to spot mistakes in AI test data. Their approach finds likely errors with 95% precision in the top 200 examples across seven benchmarks, improving how we evaluate AI performance.
A new study reveals that watermarks used to detect AI-generated text can be easily removed by combining outputs from multiple models. This finding has significant implications for AI content verification and copyright protection.
Scientists developed a new AI model called CSRM that can be quickly adjusted to meet changing safety requirements. This could help AI systems better adapt to new rules and regulations as they evolve.
Researchers developed PhyDrawGen, an AI system that generates physics diagrams from text while respecting physical laws. Unlike previous tools, it doesn't make common mistakes about forces or geometry. This could help students and teachers create precise diagrams for learning and teaching physics.