2127 stories tagged AI · page 81 of 89
Researchers used AI to analyze underground rock formations in Ghana's Keta Basin without needing extensive physical samples. This method could make resource exploration more efficient and cost-effective.
A leading journal reports a surge in AI-generated academic submissions, raising concerns about quality and integrity. The trend threatens to dilute research standards and overwhelm peer review systems.
Xiaomi's MiMo-V2.5-Pro model has secured the top spot among open-source models in the Text Arena rankings. This positions Xiaomi as the third leading AI lab globally, trailing only Anthropic and OpenAI.
Researchers introduce Web2BigTable, a multi-agent framework designed to handle both deep reasoning and structured aggregation across heterogeneous web sources. This system aims to address the limitations of current agentic web search tools.
A new study analyzing 19,418 student-AI interactions finds top performers use AI more strategically for help-seeking. The research highlights differences in how students leverage AI tools for programming tasks.
Researchers propose a five-agent system that automates ML pipeline generation from datasets and natural-language goals. The architecture improves efficiency, robustness, and explainability in ML workflows.
The Pentagon has signed agreements with leading AI firms to use their tools in classified settings, notably excluding Anthropic. This move underscores the growing importance of AI in defense and national security.
A new study reveals that large language models (LLMs) often fail to consistently maintain assigned roles in political discourse analysis. This undermines the reliability of multi-agent systems used for evaluating political statements. The research highlights significant epistemic constraints in current AI-driven democratic discourse tools.
A new study explores whether fundamental reasoning patterns in LLMs can be decoupled from specific problem instances. The research highlights the challenges and implications for model controllability and reasoning capabilities.
Researchers propose a Bayesian statistical approach to confidently migrate LLMs in production. The method calibrates automated metrics with human judgments, demonstrated on a system handling 5.3M monthly interactions.
Microsoft has introduced a specialized AI agent in Word for legal professionals. Legal Agent streamlines document edits, negotiation tracking, and contract reviews with workflows based on real legal practices.
A 200-person Chinese team released DeepSeek V4, surpassing models from larger labs. The model achieves state-of-the-art performance on key benchmarks, challenging the dominance of well-funded Western AI labs.
DeepMind has unveiled an AI co-clinician designed to assist healthcare professionals. This innovation promises to enhance diagnostic accuracy and streamline patient care.
Recent studies show AI models achieving higher accuracy in medical diagnoses than human doctors. This shift could revolutionize healthcare delivery and decision-making.
Researchers introduce BTF-2, a benchmark with 1,417 pastcasting questions, to analyze AI forecasters' reasoning. The study identifies accuracy differences as small as 0.004 Brier score and builds a more accurate composite forecaster.
Mozilla has publicly opposed Google's plan to introduce an LLM Prompt API in Chrome. The move raises concerns about privacy, centralization, and competition in AI web services.
DreamProver introduces a novel approach to theorem proving by creating transferable lemma libraries through an iterative wake-sleep process. This method enhances adaptability compared to fixed or overly specific lemma libraries.
A Harvard-led study found AI systems diagnosed emergency cases more accurately than human doctors. The results could revolutionize emergency room efficiency and patient outcomes.
A GitHub project demonstrates how large language models can assist in reconstructing partially decompiled code. The project focuses on Minecraft 26.1.2, showcasing AI's potential in reverse engineering.
GitHub's security team fixed a critical remote code execution flaw in less than six hours after it was reported. The vulnerability, found by Wiz Research using AI models, could have exposed millions of public and private repositories.
Researchers introduce FormalScience, an AI pipeline that helps domain experts formalize scientific reasoning into verifiable code. This addresses a key challenge in applying LLMs to scientific domains with complex notations.
Cloudflare has integrated AI into its code review process, reducing review times and improving code quality. The system now handles 90% of pull requests automatically.
Researchers introduce OneManCompany (OMC), a framework to structure multi-agent systems with dynamic team formation and governance. This approach decouples organizational strategy from individual agent skills, enabling more flexible and scalable AI workflows.
Researchers introduce a lightweight retrieval-augmented generation (RAG) framework to improve patient-trial matching. The approach balances scalability and efficiency with the ability to handle complex EHR data and eligibility criteria.