GeniX: When AI Becomes the Scientist – Building Closed-Loop System from Hypothesis to Verification

Artificial Intelligence (AI) is accelerating the transformation of scientific research paradigms, not only enhancing research efficiency but also driving innovation. We introduce GeniX, a unified closed-loop multi-agent framework to conduct Autonomous Scientific Research (ASR) across various scientific research fields, enabling researchers to tackle complicated problems in these fields with unprecedented speed and precision. GeniX highlights three key advantages: 1) Scalability: GeniX has demonstrated its versatility across ten scientific research tasks, capable of generating innovative ideas to enhance the performance of baseline code. 2) Interactivity: GeniX provides an interface for human expert feedback and multi-agent interaction in automated end-to-end processes, allowing for the seamless integration of domain expert knowledge. 3) Efficiency: GeniX has achieved promising performance gains in several scientific fields with significantly less time cost compared to human efforts. For instance, in reaction yield prediction, it increased from 24.2% to 34.8% in just 12 hours; in 3D point cloud classification, accuracy rose from 91.0% to 95.5% with only 4 hours of processing; and in 2D semantic segmentation, precision advanced from 78.8% to 81.0% in a mere 30 hours.