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 ...

Digging through IMS 2025’s technical sessions unearthed some insights into the microwave industry’s research inclinations, ...

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 ...

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 ...

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

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

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

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light ...

A biphasic structural plasticity rule interacts with homeostatic synaptic scaling to maintain firing rate homeostasis in neural networks.