Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and ...

In joint research with the University of Tokyo (UTokyo), the National Institute of Advanced Industrial Science and Technology ...

CRISPR construct to genetically ablate the GABA transporter GAT3 in the mouse visual cortex, with effects on population-level neuronal activity. This work is important, as it sheds light on how GAT3 ...

Since the 1940s, the meaning of the term 'artificial intelligence' has evolved significantly, as its applications have ...

Recent research has employed chemical reaction networks (CRNs), which harness biochemical processes for computations that translate interactions involving biochemical species into graphical form.

This paper investigates the use of probabilistic neural networks (PNNs) to model aleatoric uncertainty, which refers to the inherent variability in the input-output relationships of a system, often ...

A machine learning network based on the combination of empirical parameters and convolutional neural network (CNN) is proposed to recognize the modulation types of radar emitter signals. By using the ...