Advancing organic photovoltaic materials by machine learning-driven design with polymer-unit fingerprints – Nature
Advancing organic photovoltaic materials by machine learning-driven design with polymer-unit fingerprints Nature
Advancing organic photovoltaic materials by machine learning-driven design with polymer-unit fingerprints Nature
AI, Machine Learning Revolutionize Stroke Outcomes Mirage News
Exploring the potential and limitations of deep learning and explainable AI for longitudinal life course analysis BMC Public Health
Using AI and machine learning to improve stroke outcomes University of Exeter
Lattica secures $3.25 million to boost private AI with FHE SecurityBrief Asia
Applying new AI to microelectronics manufacturing Arizona State University (ASU)
An Existential Crisis of a Veteran Researcher in the Age of Generative AI Towards Data Science
An Existential Crisis of a Veteran Researcher in the Age of Generative AI Towards Data Science
San Antonio scientists use machine learning to identify potential treatments for deadly viruses News-Medical
Beyond the Spiel: An AI Reality Check Machine Design