Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech ...

In 540p-to-1080p comparisons, NSS improves stability and detail retention. It performs well in scenes with fast motion, ...

A topic that's often very confusing for beginners when using neural networks is data normalization and encoding. Because neural networks work internally with numeric data, binary data (such as sex, ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

A major AI architecture. A neural network is employed for many pattern recognition applications; however, its most popular use is the creation of language models used by ChatGPT and other chatbots.

Deep Neural Networks are the more computationally powerful cousins to regular neural networks. Learn exactly what DNNs are and why they are the hottest topic in machine learning research. The term ...

Neural networks are the algorithmic foundation of AI. A few days ago, I read an article on the American popular science website Quanta Magazine, which used a simple example and illustrations to ...

In cellular automata, simple rules create elaborate structures. Now researchers can start with the structures and ...