Abstract: Influence maximization is one of the important problems in network science, data mining, and social media analysis. It focuses on identifying the most influential individuals (or nodes) in a ...
Running a 70-billion-parameter large language model for 512 concurrent users can consume 512 GB of cache memory alone, nearly four times the memory needed for the model weights themselves. Google on ...
Abstract: We examine the factors influencing pre-service teachers' readiness to work with special needs students (SNSs) on Brain-Computer Interfaces (BCIs). While BCIs hold promise for enhancing ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results