OmniScientist: An Omni-Modal Omni-Discipline AI Scientist
AI that learns from raw data, not summaries, to conduct real science
Researchers built OmniScientist, an AI system that conducts scientific research directly from raw images, videos, audio, 3D structures, and other real data—not from prewritten summaries. When tested on 36 real research problems across multiple disciplines, the system completed full research workflows from data to finished manuscript in every case, and outperformed a version that only received simplified numerical summaries in 85% of head-to-head comparisons.
Current AI science tools skip the most important step: looking at actual evidence. OmniScientist shows that an AI can only make reliable discoveries if it processes raw data directly, catching subtle patterns and detecting problems that precomputed summaries would hide. This suggests a clearer path to building AI systems that can genuinely accelerate research across fields like biology, physics, and medicine—rather than just automating paperwork.