Overview This video explains how artificial neural networks work, from the basic mathematical model of a neuron to how ...

Stephane is a tech enthusiast and AI advocate with a deep-seated passion for leveraging technology to solve real-world problems. With a background in Chemistry and hands-on experience in AI,... We ...

A new study has used a type of machine learning called a neural network to reveal how different kinds of training can change how learning happens—both in machines and in living brains. Subscribe to ...

This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...

A recurrent neural network is a type of artificial neural network commonly used in speech recognition and natural language processing. Recurrent neural networks recognize data's sequential ...

Science & Applications describes a framework for building neural networks that operate entirely with light, processing ...

Researchers have developed a learning mechanism that uses the natural variability of neural activity—often dismissed as ...

Sometimes in the rush to explore our interactions with neural nets (often in the form of LLMs) we forget to think about our own operating system and how it works. Of course, scientists did spend a lot ...

Forbes contributors publish independent expert analyses and insights. Philip Maymin, a professor of analytics and AI, covers finance and AI. Is this a deep learning neural network, with blue inputs, ...