Global Intelligence Database
This paper reviews the shift from static biomechanics to adaptive AI in sports, evaluating deep learning for injury prediction and tactical analysis. It highlights significant potential in digital twins while cautioning against algorithmic bias and data scarcity.
By WAN
Artificial Intelligence is catalysing a revolution in the pharmaceutical industry by analysing vast datasets to accelerate drug development and tailor treatments to individuals. While this fusion of AI and modern manufacturing promises hyper-personalised healthcare, it also introduces significant challenges regarding data privacy and algorithmic bias that must be carefully managed.
By Suriyaamporn, Pamornpathomkul, Ngawhirunpat, Akkaramongkolporn, Opanasopit
A perspective review tracing the evolution of materials science from manual trial-and-error to AI-driven automation. It highlights the integration of Large Language Models and the shift towards autonomous, self-driving laboratories.
By Lookman, Liu, Gao