A new hybrid framework combining a Variational Autoencoder with Proximal Policy Optimization reinforcement learning generates ...
Data assimilation (DA) integrates observations with model forecasts to produce optimized atmospheric states, whose physical consistency is critical for stable weather forecasting and reliable climate ...
A factory floor has 200 vibration sensors streaming data every second. Storing and processing all 200 channels in real time is expensive and slow. But most signals are correlated: when one motor ...
Chinese tech giant Alibaba has escalated the AI image generation race, releasing a powerful new open-source model on August 4 that excels at one of the toughest challenges for AI: accurately rendering ...
The advancement of tactile sensing in robotics and prosthetics is constrained by the trade-off between spatial and temporal resolution in artificial tactile sensors. To address this limitation, we ...
A variational autoencoder (VAE) is one of several generative models that use deep learning to generate new content, detect anomalies and remove noise. Suited for generating synthetic time series data ...
VQ-VAE（Vector Quantized Variational AutoEncoder，向量量化变分自编码器） 主要是将连续潜在空间的点映射到最近的一组离散的向量（即codebook中的向量）。模型引入了离散潜在空间的思想，克服了传统 ...
De novo peptide design exhibits great potential in materials engineering, particularly for the use of plastic-binding peptides to help remediate microplastic pollution. There are no known peptide ...
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