Deep learning, a subset of AI, uses various neural network architectures tailored to specific challenges. Differentiating between these models involves understanding their input-output dynamics ...

The study's goal is to uncover the key factors that influence sales, as well as conduct an experiment to determine the optimal algorithm among Linear Regression and innovative Artificial Neural ...

Could the difference of boundaries translate to adversarial examples that are non-transferable between 01 loss and convex models? We explore this empirically in this paper by studying transferability ...

Various generative AI models, including transformer-based models, GANs, and diffusion models, are trained through different processes involving large-scale data, neural networks, and methods like ...