A Cornell professor designed a room-size network of sensors that represented a single neuron. He claimed it would grow wiser ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

Dyslexia detection systems face significant challenges due to the need for domain-specific discriminative features from high-dimensional data. Traditional dyslexia detection methods often fail to ...

Physical frailty is a pressing public health issue that significantly increases the risk of disability, hospitalization, and mortality. Early and accurate detection of frailty is essential for timely ...

Artificial intelligence (AI) machine learning is helping to transform many industries as an assistive tool for scientists. Researchers have published in Digital Discovery, a The Royal Society of ...

The tiny worm Caenorhabditis elegans has a brain just about the width of a human hair. Yet this animal’s itty-bitty organ coordinates and computes complex movements as the worm forages for food. “When ...

There is no doubt that social media sites have provided many benefits to humanity, such as sharing information continuously and communicating with others easily. It also seems that social media sites ...

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...

Abstract: Most research studies on deep learning (DL) applied to the physical layer of wireless communication do not put forward the critical role of the accuracy-generalization trade-off in ...

With the current buzz around artificial intelligence (AI), it would be easy to assume that it is a recent innovation. In fact, AI has been around in one form or another for more than 70 years. To ...

A perceptron, the basic unit of a neural network, comprises essential components that collaborate in information processing. Input Features: The perceptron takes multiple input features, each input ...