A controversial new movement promoting the "science of math" has come into the math establishment's crosshairs.
For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...
Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...
When educators panic about artificial intelligence in the classroom, they often fall back on a familiar definition of learning: a change in long-term memory. It sounds scientific. It gives the ...
Abstract: In this paper, we propose the Self-Attention-based Masked Spectrogram Generation (SAMSG) method to address the problem of model overfitting and improve generalization performance in speech ...
In the context of mass higher education, Chinese application-oriented undergraduate institutions face significant teaching challenges stemming from the increasingly diverse student population. This ...
Abstract: Federated learning is an important distributed machine learning paradigm. This study proposes a privacy-preserving data augmentation model for federated learning of heterogeneous data, which ...
State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, National Center for Magnetic Resonance in Wuhan, Innovation Academy for Precision Measurement Science and Technology, Chinese ...
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