In a recent study published in the journal Nature, researchers investigated the potential of artificial intelligence (AI) to not only predict scientific discoveries but also play a constructive role in their expansion. The study highlights how AI algorithms can assist scientists in analyzing vast datasets, revealing hidden patterns that may not be visible to human observations.
Human-Aware AI
To examine the behavior of electrons in materials, the scientists employed an AI system known as “CogniVal,” designed to be aware of human input. This human-aware AI system facilitated a collaborative partnership between the AI and human scientists. By analyzing extensive datasets and detecting patterns, the AI system contributed its computational power, while human scientists provided contextual understanding and interpretation of the results.
The Digital Double
Professor James A.Ecans, the lead author of the study called the new model the “digital double”, which works on synergy between human interaction and AI capabilities. The model offered 400% improvement in predicting future discoveries and 40% precision in identifying people who would make those discoveries.
