This work models reinforcement-learning experiments using a recurrent neural network. It examines if the detailed credit assignment necessary for back-propagation through time can be replaced with ...
This important work substantially advances our understanding of episodic memory by proposing a biologically plausible mechanism through which hippocampal barcode activity enables efficient memory ...
Artificial intelligence is everywhere, from the personal assistant in your pocket to self-driving cars navigating busy ...
Western researchers have developed a novel technique using math to understand exactly how neural networks make decisions—a ...
The device paves the way for a new era of ultrafast computing, say researchers.
FDA published a draft guidance titled “Artificial Intelligence-Enabled Device Software Functions: Lifecycle Management ...
Binjumah, W. (2025) A Conceptual Model for Improving Perovskite Solar Cells Efficiency Using Machine Learning. International ...
A significant milestone was AQMed's publication in MDPI Sensors, detailing the first-of-its-kind unshielded MCG built around an array of quantum sensors (optically pumped magnetometers). CardiAQ ...