InfoWorld

The most popular neural network styles and how they work

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...
GlobalSpec Insights

Functional inks and AI bring insights to packaging

According to the team, the combination of inks and artificial intelligence (AI) demonstrates how packaging can accurately ...

Explainability in AI: How We Can Actually Understand What Deep Learning Models Are Thinking

A lot of people are amazed by what artificial intelligence can do. It reads scans. It filters resumes. It makes predictions about who might get sick next month. But the more it does, the more people ...
pv magazine International

PV module fault diagnosis uses convolutional neural network

Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...

From Handwriting to Digital: Deep Learning Techniques Empowering the Digitization of Ancient Texts and Intelligent Office Work

Deep learning models, particularly Convolutional Neural Networks (CNN), are the core technologies for current Chinese handwriting recognition. The workflow can be summarized in the following steps: ...
pv magazine International

Ultra-short-term PV forecasting based on convolutional neural network, long short-term memory

Scientists have created a novel probabilistic model for 5-minutes ahead PV power forecasting. The method combines a convolutional neural network with bidirectional long short-term memory, attention ...