The brains of humans and other primates are known to execute various sophisticated functions, one of which is the ...

A study utilizes large language models to predict reactivity in 14,000 cementitious materials, advancing low-carbon clinker ...

The study, published June 5 in Nature Methods, used imaging data from the Human Connectome Project to align neural activity with ... The brain consists of a complex network of interconnected ...

Thus, to enhance the detection accuracy and to overcome the challenges of existing methods, the Hybrid activation function enabled adaptive Milvus optimization-based Deep Convolutional Neural Network ...

A second mouse line (Ntv-a) expresses tv-a from the Nes (encoding nestin) promoter, which is active in neural and glial ... We achieved activation of pathways downstream of Ras by infecting ...

Abstract: We propose programmable low-power-consumption optical ReLU activation function for the fully optical neural network. The optical-to-optical nonlinearity is realized using characteristics of ...