Early adopters are using the model for diverse applications, such as auto-clipping highlights from live sports, which ...
Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...
This article was co-authored with Emma Myer, a student at Washington and Lee University who studies Cognitive/Behavioral Science and Strategic Communication. In today’s digital age, social media has ...
Abstract: This study explores the development of AI-powered adaptive systems for English language learning, focusing on leveraging Recurrent Neural Networks (RNNs) and Natural Language Processing (NLP ...
Abstract: Tuning Model Predictive Control (MPC) cost weights for multiple, competing objectives is labor-intensive. Derivative-free automated methods, such as Bayesian Optimization, reduce manual ...
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