1854 stories tagged AI · page 15 of 78
A new study on ArXiv shows that a two-stage Gemini AI pipeline can detect internal inconsistencies in 3,000 MIMIC-IV-Note discharge summaries, but recurring failure modes limit its reliability for automated clinical use.
A new study combining speech analysis with LLM-based transcript analysis shows improved prediction of romantic attraction in speed dating, but the effect is conditional on context, not universal.
Researchers introduced ADAGE, a language-agnostic pipeline that creates AI benchmarks in native languages without relying on translations. Validated with benchmarks in Arabic, Amharic, and Japanese, ADAGE combines native-speaker curation with LLM-assisted generation to test culturally grounded analogical reasoning.
Researchers introduced TILT, a training-free framework that enhances AI-generated images by ensuring all parts of complex compositional prompts are accurately represented. The method uses a model-intrinsic reward to guide diffusion models toward more faithful depictions of multi-concept scenes.
A new study identifies the Hard Decision Layer (HDL), a natural architectural point in transformer models where answer rankings stabilize. The HDL was found consistently across Qwen, Llama, Granite, and Mistral models and is invariant to fine-tuning, offering a new path to more reliable AI decision-making.
New OpenAI research shows that 60% of ChatGPT users are taking on tasks outside their original job descriptions, blurring traditional role boundaries and enabling workers to bridge skill gaps across marketing, software development, sales, and customer service.
NVIDIA released Cosmos-H-Dreams, an open-source generative simulation tool that lets surgical robots practice complex procedures in real-time virtual environments, improving safety and precision before they ever touch a patient.
Nvidia has developed AI agents that automate key parts of chip design, cutting the process from months to weeks. This could make cutting-edge chips cheaper and more widely available.
Nvidia and Microsoft, alongside SpaceX and IBM, launched the Open Secure AI Alliance to develop open-source AI security tools. The initiative excludes major AI developers like OpenAI, Google, and Anthropic, and aims to defend against threats from frontier AI models.
A new ArXiv paper introduces 'Coupled Hierarchical Search over Topology and Execution,' a method that automates the creation of structured workflows for Large Language Models (LLMs). This approach reduces the need for heavy offline training by dynamically linking subtask boundaries with execution outcomes.
Researchers have developed a runtime-aware framework that predicts how long large language models (LLMs) will take to respond on heterogeneous edge devices like smartphones and IoT gadgets, achieving 95% accuracy by accounting for hardware, runtime backend, thermal variation, and prompt behavior.
Microsoft introduced its first AI security model and a new agentic cybersecurity platform to automate threat detection and response for businesses and individuals using Microsoft Defender and Microsoft 365.
A new trend in China allows people to license their faces to AI companies, which use them to create digital actors for short videos. This raises questions about privacy, identity, and the future of digital entertainment.
Safe Superintelligence, founded by former OpenAI chief scientist Ilya Sutskever, has emerged from two years of stealth with a long-term partnership with Nvidia. The collaboration provides access to Nvidia's GPUs and software to accelerate research into safe, powerful AI systems.
Google’s AI Overviews now appear in 43% of all searches, according to new data from TechCrunch AI. This rapid adoption signals that AI-generated answers are becoming the standard way people find information online, fundamentally changing how search engines work.
Google has developed an AI system that uses reinforcement learning to correct errors in quantum computers, potentially making quantum computing more reliable and practical for real-world use.
Researchers introduced FlowEvo, a training-free framework that compiles successful AI agent traces into reusable skill records, enabling agents to improve efficiency and flexibility over time without additional data or computational resources.
Developer Sami Uysal published 'awesome-open-ai-developer-tools' on GitHub, a curated index of over 1,000 open-source tools covering the full AI development lifecycle from model training to deployment.
Moonshot AI released Kimi K3, an open-weight AI model that reportedly outperforms some top US systems at a fraction of the cost. Its free availability could disrupt the US tech industry by lowering barriers to AI development globally.
A former Anthropic employee claims the company reduced AI safety protocols to accelerate model deployment and compete with rivals, raising concerns about the trade-off between innovation and risk in AI development.
The Guardian reports that AI-generated doctor avatars on TikTok are providing misleading medical advice, posing a 'huge danger to public safety' and risking harmful health decisions by viewers.
Stanford researchers introduced AgentKVShift, a training-free technique that reduces the cost of AI memory systems by up to 90% by reusing key-value (KV) caches for structured memory units like summaries and tags, making AI agents significantly more efficient.
Moonshot AI's Kimi chatbot outperformed Western models like GPT-5 and Claude 3 on benchmarks, triggering panic in Silicon Valley and on Wall Street over China's rapid AI advancements and the potential loss of Western technological dominance.
The Trump administration unveiled the first 'Genesis Mission' grants on Thursday, directing $5 billion toward hundreds of AI-driven science projects in an effort the White House has described as 'comparable in urgency and ambition to the Manhattan Project.'