Abstract: The use of heart rate monitoring devices has increased significantly, leading to the emergence of a new class of consumer-grade wearable devices designed for continuous heart rate monitoring ...

Autonomous vehicles and robotic systems are increasingly used to perform operations in environments that bear potential risks to humans (e.g. areas affected by natural disasters, warfare, or planetary ...

AFTER is a diffusion-based generative model that creates new audio by blending two sources: one audio stream to set the style or timbre, and another input (either audio or MIDI) to shape the structure ...

Abstract: As a commonly used model for anomaly detection, the autoencoder model for anomaly detection does not train the objective for extracted features, which is a downside of autoencoder model. In ...

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

Researchers from Politecnico di Milano propose a data-driven water leak detection method that treats leaks as anomalies in ...

The mission of Firehouse is to educate and inspire firefighters so that they can protect their communities and keep themselves safe. By providing news, lessons learned, tactical changes and focusing ...

在 LDM、DiT 这类两阶段生成框架里，第一阶段的 visual tokenizer（常见是 VAE 或者是 AutoEncoder） 把图像压进 latent，第二阶段扩散模型在 latent 上学生成。

Explore behavioral analysis techniques for securing AI models against post-quantum threats. Learn how to identify anomalies and protect your AI infrastructure with quantum-resistant cryptography.