Encoding individual behavioral traits into a low-dimensional latent representation enables the accurate prediction of decision-making patterns across distinct task conditions.
The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...
Abstract: Channel prediction on the user equipment side has recently been identified as one of the main use cases for artificial intelligence in the radio access network. With advanced neural networks ...
Chinese outfit Zhipu AI claims it trained a new model entirely using Huawei hardware, and that it’s the first company to ...
Abstract: The ionosphere is vital for satellite navigation and radio communication, but observational limitations necessitate ionospheric forecasting. The least squares collocation (LSC) method is ...
Manzano combines visual understanding and text-to-image generation, while significantly reducing performance or quality trade-offs.
Apple's researchers continue to focus on multimodal LLMs, with studies exploring their use for image generation, ...
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