Control chart pattern recognition is a pivotal technique in statistical process control, supporting the early detection of anomalies in industrial processes. Recent developments have focused on ...
A new technical paper titled “Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware” was published by researchers at Purdue University, Pennsylvania State ...
Recently, a research team led by Prof. GAO Xiaoming from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, developed an intelligent neural network algorithm that effectively ...
“Over the past decade, deep-learning-based representations have demonstrated remarkable performance in academia and industry. The learning capability of convolutional neural networks (CNNs) originates ...
Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning ...
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 ...
Using spatial transcriptomics and AI, researchers redefined the mouse brain’s geography, uncovering hundreds of new ...
Researchers say their new algorithm trained on a database of various TV show clips can detect sarcasm 75% of the time. By Tom Hawking Published May 17, 2024 1:17 PM EDT Get the Popular Science daily ...
Every time Jenny publishes a story, you’ll get an alert straight to your inbox! Enter your email By clicking “Sign up”, you agree to receive emails from ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback