All 3,460 AI stories, newest first · page 89 of 145
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.
OpenAI has broken ground on a massive 1GW data center in Michigan as part of the Stargate initiative. The project aims to build AI infrastructure, create thousands of jobs, and support local communities through economic investment and workforce development.
NVIDIA has released Cosmos 3, an open-source AI model designed for physical reasoning and action. This breakthrough could revolutionize how robots and AI systems interact with the real world.
Scientists found that AI models often predict realistic-looking but physically impossible outcomes. They propose a new approach that focuses on understanding real-world physics to make AI more reliable.
Scientists studied how AI agents update their own tools and strategies. They found that not all AI models benefit equally from these self-improvements, even if they're good at their original tasks.
Researchers introduced PReMISE, a framework that uses pairwise human-preference data to discover policy-level rubric sets and audit LLM judges, ensuring AI scores align with human preferences and avoiding misleadingly polished but factually incorrect responses.
Researchers developed a method called AdaCoM to help AI agents manage information overload during long tasks. Unlike prior approaches that require retraining the agent itself, AdaCoM adapts context management strategies to each agent, making it practical for closed-source systems.
Researchers developed a new AI system to simulate how hospitals react to policy changes. This could help design better healthcare systems by predicting real-world impacts.
Researchers introduced DecomposeR, a new AI framework that improves how large language models plan and execute complex research tasks. By representing research plans as typed directed acyclic graphs (DAGs), DecomposeR enables better credit assignment for planning and execution, potentially leading to more structured and accurate long-form answers.
Researchers developed an AI approach that lets self-driving cars learn from experts while avoiding dangerous mistakes. The system only asks for help when it's truly uncertain, making it safer to explore new driving situations.
Researchers have created a new benchmark to test how well AI models make clinical decisions. This could help improve AI tools that assist doctors in diagnosing and treating patients.
Meta's AI support chatbot was used by hackers to take over Instagram accounts. The exploit involved tricking the chatbot into changing account emails and resetting passwords. Meta has since fixed the issue.
Researchers introduced MAVEN (Modular Agentic Verification and Execution Network), a lightweight symbolic reasoning scaffold that helps AI agents use tools more reliably across different tasks. This could make AI assistants better at handling complex, multi-step problems.