1854 stories tagged AI · page 54 of 78
China is increasingly keeping its best AI talent at home, reflecting a global trend where countries are prioritizing domestic AI development. This shift could reshape the global AI landscape and impact international collaboration.
A new study challenges claims that AI models can introspect, arguing that what looks like self-awareness might just be clever pattern matching. Researchers say we need better tests to truly know if AI understands itself.
AI companies spent millions to influence a New York congressional race, but their efforts ended up making the candidate they opposed more famous. This shows how AI's growing role in politics can have unexpected consequences.
AI is already transforming warfare, with autonomous systems and lethal weapons being developed and debated. This shift raises critical ethical and safety concerns for the future of conflict.
AI tools are now capable of performing tasks that were once the domain of high-priced consultants. This shift could democratize access to expert advice and reduce costs for businesses.
A new study investigates whether AI can replicate the open-ended creativity of humans, using Picbreeder as a model. The research could help us understand if AI can generate truly novel and meaningful ideas on its own.
Researchers have developed a new AI model that can understand and generate speech in English and Korean, enabling natural real-time conversations. This breakthrough could revolutionize how we interact with voice assistants and other speech-based technologies.
Researchers developed a step-by-step AI system to create teaching analogies. This could make learning complex topics easier by comparing them to familiar ideas.
A previously unknown AI model called Hy3 has surged to the top of OpenRouter's performance charts. It's raising questions about who created it and how it became so powerful.
Harvard researchers have developed an AI system that can automate the coding process for scientific research. This could significantly speed up experiments and make advanced research more accessible to non-experts.
China has expanded travel restrictions to top AI researchers and engineers at private firms. This move aims to prevent the loss of key talent to foreign companies and countries. The restrictions apply to employees at leading AI companies like DeepSeek and Alibaba.
Researchers at CUNY developed an AI system that analyzes social media timelines to track mental health changes. The tool identifies emotional states and predicts shifts in mood over time.
A new study shows that AI models with strong medical knowledge can abandon correct diagnoses when pressured in conversations. Researchers developed a test to measure how well AI maintains accurate beliefs under stress.
Researchers created an AI system that debates scientific ideas to generate new hypotheses. This could speed up discoveries in fields like battery research by combining fragmented knowledge.
A team compared how six AI assistants handled solar data analysis. Some performed surprisingly well, while others struggled with basic tasks. This shows how much AI capability can vary even among top tools.
Researchers created SciAtlas, a knowledge graph that organizes scientific research to help AI and humans find connections. It aims to solve the problem of too much fragmented academic information.
Pope Leo XIV released an encyclical urging that AI should benefit all people, not just those in power. The document emphasizes ethical considerations and equitable access to AI technologies.
Norway is deploying 2 petabytes of Huawei flash storage to support large language model (LLM) training. This move highlights the growing demand for high-speed storage solutions in AI development.
Researchers created a system to track how much energy AI agents use to complete real-world tasks. This could help make AI systems more efficient and transparent about their environmental impact.
Scientists have discovered why certain layers of AI language models closely match human brain responses to language. This breakthrough could lead to better AI-human communication and more intuitive AI systems. The study used a technique called sparse autoencoders to break down AI models into understandable parts, revealing that semantic features alone can predict brain activity with high accuracy.
Researchers have developed an AI system called RMA that can tackle advanced math problems requiring deep reasoning and literature review. This could revolutionize how mathematical research is conducted, making it faster and more accessible.
Researchers have developed a way for AI to create computer systems with mathematically proven guarantees of correctness. This could revolutionize fields where mistakes are unacceptable, like aviation or medical devices.
Researchers developed a new AI system called NeuroNL2LTL that translates human language into precise machine logic. This could make safety-critical systems like self-driving cars more reliable by ensuring human instructions are accurately understood by machines.
Researchers introduced EVE-Agent, an AI system that learns by generating and answering its own questions, using only verifiable evidence. This approach aims to make AI more trustworthy by avoiding unsupported or unreliable information.