8 results for "data science"
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FormalScience: Scalable Human-in-the-Loop Autoformalisation of Science with Agentic Code Generation in Lean
Formalising informal mathematical reasoning into formally verifiable code is a significant challenge for large language models. In scientific fields such as physics, domain-specific machinery (\textit…
When AI reviews science: Can we trust the referee?
The volume of scientific submissions continues to climb, outpacing the capacity of qualified human referees and stretching editorial timelines. At the same time, modern large language models (LLMs) of…
FastOMOP: A Foundational Architecture for Reliable Agentic Real-World Evidence Generation on OMOP CDM data
The Observational Medical Outcomes Partnership Common Data Model (OMOP CDM), maintained by the Observational Health Data Sciences and Informatics (OHDSI) collaboration, enabled the harmonisation of el…
BST: A Great Way To Generate Income And Gain Exposure To Anthropic, Databricks, And Anduril
BlackRock Science and Technology Trust offers high-single-digit yields and rare access to private AI and defense-tech companies. Read why BST is a Buy.…
Let the AI Do the Experimenting
Using autoresearch to optimise marketing campaigns under budget constraints The post Let the AI Do the Experimenting appeared first on Towards Data Science .…
Predicting consequences of new hepatitis B vaccine recs
New data on public trust in science, AI and mental health, and other news from Morning Rounds…
From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM Agents
Large language model-based agents have recently emerged as powerful approaches for solving dynamic and multi-step tasks. Most existing agents employ planning mechanisms to guide long-term actions in d…