AI music generators are democratizing sound creation—cutting costs, boosting creativity, and helping anyone compose ...

In 2025, as short videos and digital art continue to thrive, a Chinese AI tool, Kling AI, is reshaping the content creation ...

④ 在此之上，VAE 的潜空间由于表征质量的缺陷，几乎无法被迁移到图像分类、分割或检测等更广泛的视觉任务中，导致生成与判别依赖于完全不同的视觉表征体系，难以支持构建生成、感知和理解的统一视觉基础模型。

VAE理论通过计算Z的分布与一个标准先验分布之间的KL（Kullback-Leibler）散度来控制信息量，并将其作为一个惩罚项加入到总的损失函数中。 这种设计，对于一个28层的1.5B模型，额外开销大约是1/28，约等于3.6%。对于一个32层的8B模型，开销约为1/32，即3.1%。

According to the analysis, deep learning architectures such as Long Short-Term Memory (LSTM) networks and hybrid CNN-LSTM ...

长期以来，扩散模型的训练通常依赖由变分自编码器（VAE）构建的低维潜空间表示。然而，VAE 的潜空间表征能力有限，难以有效支撑感知理解等核心视觉任务，同时「VAE + ...

Abstract: Accurate prediction of quality-related variables is crucial for optimizing and controlling chemical processes. Variational Autoencoders (VAEs) excel in deciphering the complexities of ...

Abstract: Accurate prediction of ship-motion trajectories is of critical significance in modern maritime affairs, directly impacting navigation safety, traffic control, and resource management. Deep ...

Contributed by Joseph S. Francisco; received June 26, 2025; accepted September 12, 2025; reviewed by Jeffrey E. Dick and Shutao Wang ...