Google DeepMind Expands Research-Oriented AI Applications, Driving Automation in Scientific Research

Google's artificial intelligence research division DeepMind announced on April 22 that it is further expanding the application of its artificial intelligence in scientific research, with a focus on fields such as materials science, life sciences, and complex systems modeling.

DeepMind stated that its AI systems will be used to accelerate processes such as experimental design, data analysis, and theoretical validation, aiming to shorten research cycles and enhance efficiency. The organization has previously achieved breakthrough progress in areas such as protein structure prediction.

Industry observers suggest that as artificial intelligence gradually penetrates fundamental scientific research, AI is transitioning from a tool-based technology into research infrastructure, which could have a long-term impact on global models of technological innovation.