Researchers at University of Southern California and University of Pennsylvania recently introduced a new nonlinear dynamical modeling framework based on recurrent neural ... with a multisection ...

Long short-term memory (LSTM) is a robust recurrent neural network architecture for learning spatiotemporal sequential data. However, it requires significant computational power for learning and ...

Digging through IMS 2025’s technical sessions unearthed some insights into the microwave industry’s research inclinations, which in turn provide a look into the future.

In this paper, we propose a new end-to-end deep neural network model for time-series classification (TSC) with emphasis on both the accuracy and the interpretation. The proposed model contains a ...

Quadrants has released its latest AI inference Startups/SMEs Companies Assessment, 2025, recognizing key players, including ...

Navigating through tunnels or underground parking structures is a notorious blind spot for GPS-based systems. Now, ...

Finley is a Slugger reader from Belfast War is like weather. It emerges when conditions align. This is not a metaphor. It is ...

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light instead of electricity to process information—promise faster speeds and ...