Computer scientist David Magerman, a veteran of Renaissance Technologies, argues that AI doomsday predictions are overblown hype. He asserts that current LLM-based AI solutions are largely in failing ...

The technology enables ApplyBoard to implement a "traffic light" system that prioritizes applications for human review based on confidence scores. High-confide ...

Hypermobile Ehlers-Danlos syndrome (hEDS) is one of the most common heritable connective tissue disorders. Early estimates have reported that this genetic disorder affects at least one in 5,000 ...

Future AI-guided genomic analysis offers the potential to further optimize gene constructs, expression profiles, and performance traits, accelerating the development of next-generation materials.

The present study proposes a machine learning framework of analyzing therapeutic music patterns to enable emotion recognition within intelligent systems. Since music has been shown to affect human ...

ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...

1 School of Mechanical Engineering, Universidad Industrial de Santander, Bucaramanga, Colombia 2 Industrial Multiphase Flow Laboratory (LEMI), Mechanical Engineering Department, São Carlos School of ...

Bees’ remarkable visual learning abilities make them ideal for studying active information acquisition and representation. Here, we develop a biologically inspired model to examine how flight ...