An AI-driven pipeline that autonomously conducts scientific research on 317 open problems across 49 disciplines, producing verified, reproducible research packages.
For each of 317 open scientific problems curated from recent arXiv publications, our pipeline produces a complete research package: computational solution, deterministic experiments, structured data, a full-length paper, and an interactive web application.
From quantum mechanics and astrophysics to fluid dynamics, biology, and machine learning. The pipeline handles theoretical, computational, and experimental problems across the full spectrum of science.
Every numerical claim is cross-referenced against source data. All experiments are rerun for reproducibility. Mathematical proofs are formally verified.
Deterministic seeding (seed 42), pinned dependencies (NumPy 1.26.4, SciPy 1.12.0), and automated experiment reruns ensure bitwise-identical results across runs.
Every problem comes with a self-contained HTML web application featuring Chart.js interactive visualizations, data tables, and responsive design.
Each open problem enters the pipeline and progresses through seven sequential stages, producing a complete, verified research package.
Each problem has a paper, poster, slides, and an interactive web application. Use the search and filters below to explore.