The soft human-machine interface, as the name suggests, is a new type of interactive interface based on flexible electronic technology. It focuses on usability, accessibility, and learnability, aiming ...
An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...
Abstract: Electroencephalography (EEG) is an effective assessment tool to identify autism spectrum disorders with low cost, and deep learning has been applied in EEG analysis for extracting meaningful ...
Photometric redshift estimation is a critical component in large-scale galaxy surveys, enabling researchers to estimate distances to billions of galaxies without requiring time-intensive spectroscopic ...
In this StoryCorps, Emeline King, the first Black woman to design cars for the Ford Motor Company, remembers her inspiration: her father. Time now for StoryCorps. This week we hear from their ...
This repository holds the code and data of DreamPRM-1.5: Unlocking the Potential of Each Instance for Multimodal Process Reward Model Training. Training multimodal process reward models (PRMs) is ...
Abstract: In the field of time series prediction, runoff prediction is a critical subfield. Accurate runoff forecasting is essential for optimizing water resource allocation and mitigating flood risks ...
As 6G envisions the convergence of ultra-fast communications, integrated sensing, and native AI capabilities across diverse environments — including terrestrial, aerial, and satellite domains — ...
This research was supported by National Natural Science Foundation of China 42425004 (Q.L.), 42230409 (Q.L.), 42376126 (M.Q.), 42006108 (M.Q.), and 42106120 (S.W ...
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