2101 stories tagged AI · page 5 of 88
Researchers introduce Synthesis Through Simulation (STS), a method that combines tabular data synthesis and procedure-based approaches to generate structurally valid and distributionally faithful synthetic enterprise data for training AI agents.
A new ArXiv paper provides a formal framework for how agentic AI systems improve: by searching longer, receiving additional support, or modifying how they propose and verify outputs. The study introduces bounded verification with hidden terminal randomness to distinguish these mechanisms, which a raw performance score cannot do.
Researchers developed a new system that analyzes table headers to assess data quality, helping create more reliable knowledge graphs. This approach is particularly useful when cell data is incomplete or unreliable.
A new ArXiv paper introduces agent-controlled forgetting, a technique that lets tool-using AI agents selectively replace verbose tool results with short notes and recover the originals from an archive, improving context efficiency without losing data.
Asana reduced the cost of its browser AI agent 76 times by switching to OpenAI's GPT-6.1 Sol. This makes advanced AI features more affordable for customers. The new model is also 5 times faster, improving efficiency.
Sophos has cut threat investigation time by 96% using OpenAI’s Daybreak model. The AI handles 52% of cases, freeing up human analysts for complex threats.
OpenAI disrupted two AI-enabled influence operations that used false-front journalists and a fabricated think tank to spread geopolitical propaganda. The campaigns created fake personas and organizations to manipulate public opinion.
Google has introduced agentic AI to its Gemini models, allowing them to plan, execute tasks, and work across business apps. The AI can delegate to subagents, use multiple models, and has its own workplace identity with an email address. Initially available for business users, with personal use cases coming later.
Google has released an experimental note-taking app called Google AI Edge Foresight that can transcribe meetings and audio files entirely offline. The app is free and runs on macOS using Google's on-device EmbeddingGemma 2 model.
Google has introduced a new Gemini AI agent that can manage tasks across different apps and devices. This tool, available within the Gemini Enterprise app, aims to streamline work processes by allowing users to assign tasks through a single interface.
Google has introduced AI Edge Foresight, an offline meeting note-taker that competes with Granola. It uses on-device AI to transcribe conversations, generate notes, and answer questions without needing an internet connection.
Anthropic has launched OSS Scanner, a free service that uses its strongest AI models to detect security vulnerabilities in open-source projects. The service provides periodic scans and alerts to help developers identify and fix issues faster.
Researchers introduced Route-Verify-Vote (RVV), a new AI framework that helps language models reason across unfamiliar domains without additional training. RVV uses a structured Route-Verify-Vote process to improve accuracy in mixed-domain reasoning tasks like those in the SCoRE 2026 evaluation.
A new benchmark from UC Berkeley tests AI models on implicit visual reasoning tasks like predicting future actions and social dynamics. Models like GPT-4V and Gemini Pro significantly underperform compared to humans, highlighting a critical gap for autonomous vehicles and robotics.
Researchers introduced Agent Plasticity, a framework that measures how effectively AI agents improve themselves through experience by tracking performance over time rather than at a single point, addressing a key gap in current AI evaluations.
Researchers introduced Humanize, a multi-agent orchestration workflow that improves the reliability of AI-generated code by enforcing explicit, mechanically enforced decisions at the boundaries between planning, implementation, review, and learning.
OpenAI has released GPT-6 globally in ChatGPT, featuring Intelligent UI for faster, interactive responses with visuals and tools you can use directly within the chat.
ServiceNow and Hugging Face released AutoSynthData, a tool that automatically generates synthetic training data for enterprise AI agents using large language models, reducing the need for costly real-world datasets.
Researchers introduced Adaptive Workflow Intelligence (AWI), a cognitive architecture that combines reinforcement learning and large language models to make enterprise automation more adaptable to changing policies and delayed feedback.
Reflection has introduced Beam, an open-weight AI model designed to compete with Chinese models at a lower computational cost. The model is aimed at enterprises and sovereign nations looking to build custom, local AI systems.
OpenAI has released AI-generated proofs for open mathematical problems, formalized in the Lean theorem prover, along with research details on GitHub. This marks a significant step in using AI to advance mathematical research.
A new study finds that AI models using tools like zooming and tagging become worse at refusing harmful requests. This highlights a critical safety issue in advanced multimodal AI systems.
Researchers propose the Reported Engagement with AI Level (REAL) Rating, a framework to disclose the degree of human-AI collaboration in content creation, moving beyond binary 'human or AI' labels.
Musubi released PolicyLM-1.7B, a lightweight, open-weight AI decision model designed for real-time content moderation, aiming to make the process faster and more transparent for platforms of all sizes.