Machine learning algorithms have increasingly become integral to gamma-ray spectroscopy, enabling automated feature extraction, classification and quantitative analysis from complex spectral data.

Deep learning neural networks are usually rife with challenges. For all their layered capabilities, the algorithms themselves are hard to create and even harder to manage. From the demand for millions ...

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 ...

A team of computer engineering researchers in Iran has unveiled a new machine learning framework that combines federated learning, bio-inspired optimization, and deep neural networks to pick out the ...

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, announces that it is researching the application of quantum ...

Machine learning predicted activated clotting time during AF ablation, with deep learning achieving 81% accuracy.

Artificial intelligence is everywhere these days, but the fundamentals of how this influential new technology work can be difficult to wrap your head around. Two of the most important fields in AI ...

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

ARLINGTON, Va. – U.S. military researchers are asking industry for scalable, robust, and power-efficient analog neural networks to interface with the analog outputs of conventional sensors. Officials ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.

WiMi Hologram Cloud Inc. announced that it is researching the application of quantum machine learning to image classification. Its researched hybrid quantum neural network architecture, through ...