Behavior-Derived Intelligence Transforms How Recovery Is Supported, Measured, and Sustained Human behavior leaves a ...
Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...
A team of researchers in Japan has developed an artificial intelligence tool called YORU that can identify specific animal ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...
By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...
Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...
Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...
In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...
Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.
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