The SYNGAP1 gene, which supports the production of a protein called SynGAP (Synaptic Ras GTPase-Activating Protein), is known ...

This work presents potentially important findings suggesting that a combination of transcranial stimulation approaches applied for a short period could improve memory performance after administration.

AI and AR are transforming industrial IoT by enabling real-time data processing, enhancing operational efficiency, and ...

WeChat team released its 2025 Spring Festival data report saying that WeChat's blue packet debuted in 2025 Spring Festival. During the Spring Festival, there was a strong demand f ...

Scientists have developed a new kind of laser-based artificial neuron that mimics a biological nerve cell. This artificial ...

Hence, researchers often simulate the brain as a network of coupled neural masses, each described by a mean-field model. These models capture the essential features of neuronal populations while ...

NEW YORK, Jan. 30 (Xinhua) -- The Federal Bureau of Investigation (FBI) has recorded a sharp spike in complaints that its own agents and employees have engaged in sexual misconduct, ranging from ...

The textbook meaning of an artificial neural network (ANN) is a deep learning model made up of neurons that emulate the structure of the human brain. These neurons are designed to mimic the way nerve ...

Since July 2023, Caltech has overseen the Pico Rivera location of what is known as the Atmospheric Science and Chemistry mEasurement NeTwork (ASCENT), a network of 12 such sites ... when the smoke ...

is to become a low-power alternative to traditional Artificial Neural Networks (ANNs). This work addresses two major challenges in realizing this vision: the performance gap between SNNs and ANNs, and ...

Traditional processors can struggle with these requirements, leading to high energy consumption, increased latency, and throughput bottlenecks. A cornerstone of neural network computation is the ...