The reported findings, published today in Cell Stem Cell, will certainly be of deep interest to scientists studying a range ...

The brain of humans and other animals is known to contribute to the protection of the body from infections. Past studies have ...

Heavy cannabis use may negatively impact a person’s working memory, according to the largest study on this subject to date.

Deep learning works by using multilayered neural networks. To make sense of the data they are fed, such as photos, neural ...

Recurrent Neural Networks (RNN): A special type of neural network, RNN is a complex network that uses the output of a node ...

China's DeepSeek became OpenAI's competitor - faster, cheaper, better. It's a start of a new reality for business leaders and ...

Heavy lifetime cannabis use is associated with reduced brain activation in key cognitive regions, particularly during working ...

Researchers at the University of Tsukuba have identified neurons that are essential for mice to engage in social interactions with novel individuals. These neurons, which are located in the central ...

Neurons are cells in the body that are responsible for transmitting electrical signals through the nervous system. Different types of neurons affect the ability to move, which begins as an impulse, or ...

Department of Chemical Engineering, National Taiwan University, No. 1, Section 4, Roosevelt Road, Taipei 10617, Taiwan Taiwan International Graduate Program on Sustainable Chemical Science and ...

(NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, have developed a quantum algorithm technology for deep convolutional neural ... nonlinear activation functions and pooling ...

Deep neural networks (DNNs) have revolutionized machine learning, yet their success defies classical expectations. They perform exceptionally well even in overparameterized scenarios, where models ...