18 stories tagged Data Analysis
Researchers introduce BatchDAG, a system where an LLM generates typed directed acyclic graphs (DAGs) of operations—SQL queries, semantic searches, and parallel fan-outs—to enable scalable, ad-hoc analysis over enterprise-scale datasets without context overflow or linear latency.
Researchers found that AI agents can uncover different conclusions from the same data by adopting different personas. This highlights how human biases can shape research findings, even when using identical datasets.
Researchers developed an AI tool called ACIE that better handles complex medical records. It addresses key challenges in retrieving and understanding patient data across multiple documents. This could lead to more accurate and efficient medical diagnoses and treatments.
Researchers have developed TwinBI, an AI system that bridges the gap between interactive dashboards and natural language queries. By creating a digital twin of the dashboard state, TwinBI ensures filters, metrics, and chart contexts stay synchronized whether you're clicking or typing.
Researchers tested AI agents on complex neuroscience tasks, finding they can automate processes that usually take experts months. This could revolutionize scientific research by making data analysis faster and more accessible.
Researchers introduced TimeClaw, an agentic framework that improves time series analysis by integrating rich contextual information and supporting end-to-end workflows. This could make tools for forecasting and pattern analysis more accurate and practical for real-world applications.
OpenAI's Codex is evolving beyond coding to help with research, data analysis, and content creation. It's making complex tasks easier for everyday users, not just programmers.
Researchers introduced Grokers, an AI system that builds structured understanding of knowledge graphs by analyzing data upfront. This could make AI interactions faster and more accurate for complex queries.
Germany's domestic spy agency, the Federal Intelligence Service (BND), has selected a French AI company for a major contract instead of Palantir. This decision highlights Europe's growing preference for homegrown AI solutions in sensitive areas.
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.
MLJAR Studio is a new desktop app that lets users analyze data via natural language, generating Python code and saving the session as a reusable notebook. The tool runs locally and supports cross-platform environments.
A new study identifies flaws in how LLMs handle clinical trial data, proposing a hybrid approach to improve reasoning. The research focuses on recovering implicit attributes from partially observed tables.
A new paper highlights the risks of AI agents producing selectively chosen, publishable analyses that lack rigorous validation. The study calls for adversarial experiments to ensure scientific integrity.
OpenAI has released GPT-5.5, its most advanced model yet, designed for complex tasks like coding, research, and data analysis. The new model is faster and more capable than its predecessors.
OpenAI's latest guide shows how ChatGPT can assist in data analysis, from generating insights to creating visualizations. This tool could democratize data analysis for non-experts.
A new tool lets users explore the reliability of large language models through interactive data visualizations. It highlights inconsistencies in model responses across different queries.
Pneuma-Seeker is a new AI system designed to help data analysts refine their questions and explore relational data iteratively. It uses LLMs to create transparent, interactive analytical processes for real-world applications like procurement.
Gemini in Google Sheets has reached state-of-the-art performance with new beta features. These features enable users to create, organize, and edit sheets using descriptive tasks.