Behavior-Derived Intelligence Transforms How Recovery Is Supported, Measured, and Sustained Human behavior leaves a ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
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 ...
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...
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 ...
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 ...
Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.
Amazon's Rajeev Rastogi told Outlook Business that the increasing number of users gives the company confidence that these tools are delivering real value ...
The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has ...
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