An artificial neural network typically consists of several layers composed of individual neurons. An input signal passes through these layers and is processed by artificial neurons in order to ...

The integration of neural network models in autonomous robotics represents a monumental leap in artificial intelligence and ...

Researchers have developed "infomorphic neurons" that learn independently, mimicking their biological counterparts more ...

Both, human brain and modern artificial neural networks are extremely powerful. At the lowest level, the neurons work ...

Artificial neurons modeled on biology learn independently, self-organizing and adapting based on information from their local ...

Many cases of sudden cardiac death could be avoided thanks to artificial intelligence. As part of a new study published in ...

The new method assists the neural network in identifying cases where its forecast might require human verification. The research team tested the technology on real-world data, including medical ...

A Convolutional Neural Network (CNN) is a form of artificial intelligence that plays a key role in the AI ecosytem due to its ...

Researchers have developed a new kind of artificial neuron—called infomorphic neurons—that can independently learn and self-organize with nearby neurons, mimicking the decentralized learning of ...

How do neural networks work? It's a question that can confuse novices and experts alike. A team from MIT's Computer Science ...

GUANGZHOU, April 3 (Xinhua) -- Chinese researchers have used artificial intelligence (AI) to reduce unnecessary surgical resection in colorectal cancer patients after local excision, the South China ...