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9 articles
OpenAI's new field report demonstrates that coding agents, including Codex and Claude Code, can significantly reduce development runtimes in scientific computing projects.
Learn how to use AI coding agents for scientific computing by creating data analysis scripts, visualizations, and automated workflows using Python and common scientific libraries.
Learn to build a simulation of synthetic cells that eat, grow, and divide using Python. This hands-on tutorial demonstrates the principles behind artificial life systems like the SpudCell research.
Anthropic's Claude Science platform now integrates NVIDIA's BioNeMo Agent Toolkit to accelerate computational life sciences research. The platform enables scientists to interact with AI agents using natural language, streamlining research workflows.
Anthropic launches Claude Science, a new AI workspace designed specifically for researchers, featuring preconfigured tools for genomics and computational chemistry, and supporting local data deployment.
Google Cloud is partnering with SandboxAQ to offer specialized AI models for scientific research, enhancing the accuracy of numerical computations in fields like physics and chemistry.
This explainer explores how OpenAI's Codex AI system translates natural language into executable code, revolutionizing astrophysics research by accelerating black hole simulations and enabling scientists to focus on scientific discovery rather than programming details.
Astronomers are increasingly turning to GPUs to analyze massive cosmic datasets, contributing to the global GPU shortage affecting multiple industries.
Learn how to use Python and symbolic mathematics to explore theoretical physics concepts similar to those tackled by GPT-5.2, including creating mathematical models, performing symbolic manipulations, and validating results.
