1496 stories tagged AI · page 53 of 63
A new study introduces AgentFloor, a benchmark to test how well smaller AI models can handle routine tasks. The goal is to see which parts of AI workflows need big, advanced models and which can be done by smaller ones.
Scientists have uncovered why current AI models struggle with unusual inputs. Their findings could lead to more reliable AI assistants and tools. This research highlights a common flaw in how AI processes unexpected questions or commands.
Researchers developed a new way to evaluate AI grading systems by measuring both the AI's ability and the difficulty of student responses. This could lead to fairer and more accurate automated grading in education.
Researchers propose a decentralized system to track AI agents' reputations. This could make AI marketplaces more reliable for tasks like debugging and security checks.
Researchers propose a new way for AI to understand the world by combining physics with predictive models. This could make AI systems like robots and self-driving cars smarter and more adaptable.
Researchers have developed a method called RSAT that helps small language models explain their reasoning when answering questions about tables. This makes it easier for users to verify the accuracy of the AI's answers.
Researchers created ARMOR 2025 to test AI models for military use, ensuring they follow legal and ethical rules. This benchmark goes beyond civilian safety standards to address defense-specific needs.
The ongoing trial between Elon Musk and Sam Altman has revealed early emails and documents from OpenAI's founding days. These details shed light on the AI lab's original vision and the disputes that led to the lawsuit.
OpenAI has shared how they make voice AI respond almost instantly. This matters because faster responses make AI assistants feel more natural and useful in daily life.
A new research paper explores how AI is no longer just a tool but a partner in human creativity and problem-solving. This blurring of lines changes how we think about AI's role in our lives.
Hospitals in China are selling de-identified patient data to tech companies to train AI models. This raises concerns about privacy and data security, despite the data being anonymized.
Researchers have developed an AI system that optimizes trip routes for electric vehicles, considering factors like energy use and traffic. This could lead to faster, more efficient travel planning for everyday drivers.
Researchers have developed TADI, an AI system that turns complex drilling data into actionable insights. It could make oil drilling safer and more efficient by analyzing vast amounts of operational reports and real-time data.
JuliaHub has secured $65 million in funding to compete with industry leader Simulink. This could make advanced engineering tools more accessible to smaller teams and startups.
A new study found that AI models designed to understand and respond to human emotions are more prone to errors. This highlights the trade-off between emotional intelligence and accuracy in AI systems.
The UAE plans to integrate AI agents into 50% of its government operations within two years. This move highlights how AI is transforming public services worldwide.
Mnemory is a new tool that lets AI agents remember information across conversations. This could make AI assistants much more useful in everyday tasks.
Kepler used Claude to create AI systems that can explain their decisions, which is crucial for financial services. This helps build trust in AI-driven financial tools. In plain English, it means AI can now show its work, making it more reliable for everyday banking and investments.
Duralang is a new tool that makes building AI agents easier by turning every LangChain call into a Temporal Activity. This could make AI agents more reliable and easier to manage for developers.
A new evaluation by NIST shows that DeepSeek V4 Pro performs as well as GPT-5 in key AI benchmarks. This could mean more competition and better options for AI users.
Arizona State University is using AI to generate courses from professors' materials without their consent. This raises concerns about academic integrity and ownership of intellectual property.
A new AI called Cajal can draft research papers and simulate peer review. This could speed up scientific discovery but raises questions about authenticity.
A Harvard study found that certain AI models provided more accurate diagnoses in emergency room cases than human doctors. This suggests AI could become a valuable tool in fast-paced medical settings.
Researchers have trained an AI model to generate pseudorandom numbers, mimicking how computers create seemingly random sequences. This could lead to more secure systems and new ways to test randomness.