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

Researchers have developed RADIANT, a new cybersecurity system that enhances protection for critical infrastructure by detecting stealth cyberattacks without the need for ...

Abstract: Infrared-visible image fusion methods aim at generating fused images with good visual quality and also facilitate the performance of high-level tasks. Indeed, existing semantic-driven ...

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...

Apple has published three interesting studies that offer some insight into how AI can improve workflows, quality, and productivity for developers.

New papers on Apple's machine learning blog detail how AI can be used for faster, cheaper, and more effective QE testing, as ...

Stealth cyber-attacks against power grids, water systems and other critical infrastructure often go undetected until it is ...

The Perspective by Tiwary et al. (8) offers a comprehensive overview of generative AI methods in computational chemistry. Approaches that generate new outputs (e.g., inferring phase transitions) by ...

Jenna is a Senior Digital Editor for Southern Living and joined the team in 2014. She writes, produces, and assigns content with a focus on email growth and commerce content. She covers a range of ...

Abstract: Feature extraction is an essential step in traditional machine learning approaches for detecting upper limb use employing movement data from inertial measurement units. However, manual ...

Table 1. Comparison of NWPA with state-of-the-art models on the VoiceBank-DEMAND dataset. Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any ...