AI

Advanced AI Enables Precise Prediction of Nanoparticle Structures: Breakthrough in Materials Science

by
ai,Nanoparticle,Automata,Chiral Gold,Science

[su_heading size=”27″ align=”left” margin=”40″]Introduction to AI-Driven Predictive Models in Nanotechnology[/su_heading] A team of researchers from Seoul National University, led by professors Nam Ki-tae and Kim Young-min, has made a significant breakthrough in nanotechnology by developing an artificial intelligence (AI) model capable of accurately predicting the three-dimensional structures of nanoparticles at the atomic level. This innovative … Read more

Enhancing Medical Imaging AI through Distributed Learning: A Collaboration between DGIST and Stanford University

by
beta,battery,nuclear,energy,batteries

[su_heading size=”27″ align=”left” margin=”40″]Introduction to Federated Learning in Medical AI[/su_heading] Medical artificial intelligence (AI) has the potential to revolutionize how we diagnose and treat diseases, particularly through advanced imaging techniques. However, the development of robust medical AI systems is hindered by the fragmented nature of medical data, largely due to privacy concerns. A recent collaboration … Read more

Revolutionizing Bioengineering: The Convergence of AI and Emerging Technologies

by
Bioengineering,Bioplastics,AI,Biotechnology,Bioplastics,Cosmetics

[su_heading size=”27″ align=”left” margin=”40″]Showcasing Young Bioengineers’ Innovations in AI, Bioplastics, and Biotechnology Applications[/su_heading] On April 18, at the Changwon Convention Center, the 2024 Spring Academic Conference of the Korean Society of Biotechnology highlighted the impressive research achievements of emerging scholars in fields as diverse as AI-driven protein design, bioplastics, and bioprinting. [su_heading size=”27″ align=”left” margin=”40″]Bioplastics: … Read more