Researchers from the University of Houston and Manhattan College have reported a machine learning model that can accurately predict the hardness of new materials
Behavioral scientists develop new deep learning tool that can track and even predict the movements or posture of a research animal without the need for motion capture markers
In a new study, researchers predicted soybean maturity date within two days using drone images and artificial intelligence, reducing the need for boots on the ground
Deployed within the recently launched SciBiteAI framework, these deep learning models identify context between terms, such as protein-protein interactions or reporting of drug adverse events