Abstract: Measuring student attention during learning remains a challenging task. Traditional methods, such as surveys and observations, are subjective and often inaccurate. While EEG can detect ...
“Based on their training data, they just model the probability that a given token, or word, will follow a set of tokens that ...
Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...
Collisions between marine vessels and stationary structures, like offshore oil platforms and depleted wellheads, are becoming ...
Fusion oncoproteins arise when a gene fuses with another gene and acquires new abilities. Such abilities can include the ...
Abstract: The imposition of carbon taxes on goods imported by the European Union can considerably affect economic development. Computer numerical control (CNC) machine tools are indispensable in ...
A machine learning-based resource developed at St. Jude Children’s Research Hospital predicts which intrinsically disordered regions can drive the formation of biomolecular condensates and links those ...
The CDC has quietly been building a modern AI infrastructure designed to reshape how public health data is collected, ...