This article discusses how the 2024 Nobel Prize winner raised concerns about a “data bottleneck” in AI-driven scientific research. Despite advances in artificial intelligence, the lack of sufficient high-quality data in fields like medicine and materials science is limiting AI’s potential. The bottleneck lies in collecting and organizing this data, which requires extensive resources and collaboration. The Nobel laureate calls for better infrastructure and global cooperation to overcome these challenges and unlock the full potential of AI in scientific discovery.
Please continue reading the full article under the link below:
#materials #materialsscience #materialsengineering #computationalchemistry #modelling #chemistry #researchanddevelopment #research #MaterialsSquare #ComputationalChemistry #Tutorial #DFT #simulationsoftware #simulation