Researchers at FORTH have developed a new type of artificial neural network (ANN) that incorporates features of biological ...

In a world rapidly embracing artificial intelligence, groundbreaking innovations in large language models are redefining the ...

One of the most agonizing experiences a cancer patient suffers is waiting without knowing: waiting for a diagnosis, waiting ...

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

Fiducial markers play a vital role in guiding robots by helping them navigate their environment and recognize objects. These ...

Neural AI (often referred to as neural network technology) applies pattern recognition on large datasets based on the complex ...

Access to AI intelligence should be equal to all. That means building collaborative systems of learning, like the Thames ...

Therefore, our training methods are more biologically plausible than artificial neural network training methods, such as backpropagation. (2) Our experimental results show that the ToM-SNN model can ...

Advancements could enhance perceptual capabilities in robotics. Artificially engineered biological processes, such as ...

Although SNNs are currently more efficient than artificial neural networks (ANNs), they are not as accurate as ANNs ... Consequently, our method can lower the possibility of vanishing spikes in BP ...

The neural network artificial intelligence models used in applications like medical image processing and speech recognition ...

A Hall thruster is a high-efficiency propulsion device using plasma that is used for various difficult space missions, such ...