A key application often envisioned for neuromorphic technology is to implement similarly brain-inspired neural networks, the ...

AI-driven models, particularly those based on machine learning (ML) and deep learning (DL), such as Long Short-Term Memory ...

The study emphasizes that one of the most significant contributions of AI to plant science lies in rapid, image-based disease ...

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions ...

Understanding neural network dynamics is a cornerstone of systems neuroscience, bridging the gap between biological neural networks and artificial neural ...

Choosing what stimulus to focus on, a.k.a. attention, is also the main mechanism behind another neural network architecture, the transformer, which has become the heart of large language models ...