1496 stories tagged AI · page 25 of 63
Researchers created a simulated startup to see if AI could handle day-to-day business decisions. The experiment reveals both the potential and limitations of AI in management roles.
Researchers have developed new open-source methods that outperform LoRA, the most popular AI fine-tuning technique. These approaches could make customizing large language models more accessible and affordable for everyone.
Researchers have developed a method that lets AI models review and correct their own outputs for ethical alignment, using a new 'conscience step' technique. This could improve AI safety in training, fine-tuning, and real-time use.
At the G7 summit, French President Macron and Indian PM Modi expressed concerns about U.S. control over American AI. The recent Anthropic blackout highlighted fears of sudden access cuts. These concerns underscore the global reliance on U.S.-based AI infrastructure.
A new study suggests that to properly audit AI agents, we must also examine the data they use to make decisions. This could change how we ensure AI systems are fair and reliable.
Unreal Engine 5.8 now includes a server for AI agents to interact, making it easier to create complex AI-driven game worlds. This could lead to more dynamic and lifelike gameplay experiences for players.
Researchers introduced SproutRAG, a new AI framework that enhances how systems understand long documents. It balances detail and coherence better than existing methods, potentially improving tools like document analysis and legal research.
OpenAI has upgraded ChatGPT's health intelligence with GPT-5.5 Instant, making its medical advice more accurate and reliable. This update includes stronger reasoning, better context, and evaluations by physicians.
OpenAI has introduced new tools to help businesses track and manage their ChatGPT Enterprise usage. These features make it easier for companies to control spending and scale AI adoption responsibly.
Odyssey, a startup developing world models for AI, has secured a $1.45 billion valuation with backing from Amazon and other major investors. This highlights the growing importance of world models as the next big advancement beyond traditional language models.
Researchers have developed a machine-learned comorbidity index that better predicts patient outcomes. Unlike older methods, it captures complex relationships between diseases and health risks.
Researchers have developed a local AI system that can identify and redact student names in classroom transcripts without sending data to third parties. This could make it easier for schools to share educational dialogue for research while protecting privacy.
Researchers have developed a method to help AI models retain detailed audio information, like tone and emotion, while processing speech. This could make voice assistants and transcription tools much more accurate and expressive.
Khwand is a new GitHub app that automates testing and fixing AI agents. It promises to make developing AI-powered tools more reliable for developers.
Anthropic had to take its latest AI models offline after new U.S. export rules suddenly restricted access. The rules even affected American users and employees, causing widespread confusion.
Amazon's cloud division, AWS, is exploring selling its custom AI chips to other data centers. This move aims to challenge Nvidia's dominance in the AI hardware market, with CEO Andy Jassy calling it a potential $50 billion opportunity.
Amazon is reportedly investigating engineers who publicly criticized the company's plans to expand AI data centers. This highlights growing internal tensions over AI's environmental and ethical impacts.
Researchers used an OpenAI reasoning model to help diagnose rare diseases, identifying 18 new diagnoses in previously unsolved cases. This could revolutionize how doctors approach these complex conditions.
The Verge's newsletter unpacks a petty feud between the White House and Anthropic over AI model names—Fable and Mythos—revealing how a fight about safety labeling is reshaping frontier AI policy behind the scenes.
Some Russian families are using AI to recreate the voices of loved ones killed in the Ukraine conflict. This technology allows them to hear personalized messages from those they've lost, though it raises ethical questions.
A new research paper introduces the concept of distributed general-purpose agent networks where AI agents can collaborate across personal devices, edge nodes, and autonomous computing environments. This could enable more powerful, flexible AI assistants that work together to solve complex problems by sharing data, tools, and permissions. The paper outlines an open peer-to-peer architecture that allows heterogeneous agents to discover and interact with each other, overcoming the limitations of single-agent systems.
Pramaana Labs has secured $27 million to develop AI systems that can be formally verified for accuracy. This technology aims to eliminate errors in fields like law and drug discovery where mistakes can be costly.
OpenAI has introduced LifeSciBench, a benchmark to test AI systems on real-world life science tasks. It's designed and reviewed by experts to ensure AI can handle complex research decisions accurately.
Researchers have identified a critical flaw in AI reasoning: models often reach the same answer through inconsistent paths. They propose a new way to measure this inconsistency to improve AI reliability.