1496 stories tagged AI · page 35 of 63
Travelers Insurance has deployed an AI-powered Claim Assistant built with OpenAI to provide 24/7 guidance for customers filing claims. The deployment, which covers auto, home, and other property claims nationwide, aims to improve the customer experience and help Travelers scale during peak demand.
Researchers developed TIGER, a new AI system that improves accuracy in multimodal generation by tracking and correcting factual errors. This could make AI-generated images and text more reliable for everyday users.
Researchers developed TCAR-Gen, an AI system that retrieves and combines evidence from historical criminal cases to answer complex questions. This advancement improves how AI handles temporal reasoning and evidence fusion, making it more reliable for detailed queries.
Researchers have developed a quantum-native architecture called the Universal Quantum Transformer (UQT) that can handle exact mathematical symmetries better than classical AI. This could lead to more stable and efficient AI systems in the future.
OpenAI has made its frontier models and Codex generally available on AWS, giving enterprises a new path to build with OpenAI through the AWS environments, controls, and procurement workflows they already use.
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.
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.
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.
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.
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.
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.
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.