We present evidence from a field experiment across 66 firms and 7,137 knowledge workers. Workers were randomly selected to access a generative AI tool integrated into applications they already used at ...
The Federal Communications Commission has adopted new rules requiring greater transparency from licensees and applicants whose operations may be influenced by foreign adversaries to strengthen ...
Abstract: This study develops a conditional Generative Adversarial Network with a multi-head Critic (cGAN_ext), under a Wasserstein GAN with gradient penalty (WGAN-GP) framework, to downscale ...
Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in image-related tasks. These systems have found applications in medical diagnosis, ...
To further enhance the accuracy of channel modeling and lay a solid foundation for innovative network algorithm design and in-depth optimization of communication protocols [1], it is crucial to ...
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