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Recent research has employed chemical reaction networks (CRNs), which harness biochemical processes for computations that translate interactions involving biochemical species into graphical form.
A new study utilizes compact neural networks to uncover the underlying mechanisms behind human decision-making. Scientists have long studied how people and animals make decisions, often looking at how ...
To address this problem, we use the multi-head self-attention mechanism to establish a hybrid model integrating static and dynamic spatial correlation neural network (SDSCNN) for traffic flow ...
Mechanistic interpretability is emerging as a strategic advantage for businesses looking to deploy AI responsibly.
By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.
Discover how Google DeepMind is using video games and generative AI to train advanced artificial intelligence for real-world applications.
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 ...
The results were published in Neural Networks. Like a river current ... "The brain is difficult to understand, in part, because it is dynamic—it can learn to respond differently to the same stimuli ...
"We present dissociative prioritized analysis of dynamics (DPAD), a nonlinear dynamical modeling approach that enables these capabilities with a multisection neural network architecture ... to test ...
oneAPI Deep Neural Network Library (oneDNN) oneAPI Deep Neural Network Library (oneDNN) is an open-source cross-platform performance library of basic building blocks for deep learning applications.
In recent years, numerous studies on emotion recognition have employed non-invasive electroencephalography (EEG) to measure neuronal activity. Various Machine Learning and Deep Learning techniques ...
New research highlights how astrocytes, long considered mere support cells, actively shape brain network dynamics.