Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends ...

If you are curious and want to learn how does AI work, well, follow our detailed explainer on Artificial Intelligence's ...

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, ...

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, Gemini and other ...

The Lorenz attractor is an example of complex dynamical systems. Two neuroscientists have discovered a way to learn complex ...

A regression problem is one where the goal is to predict a single numeric value. For example, you might want to predict the annual income of a person based on their sex, age, state where they live and ...

While there are lots of things that artificial intelligence can't do yet—science being one of them—neural networks are proving themselves increasingly adept at a huge variety of pattern recognition ...

A deep neural network (DNN) is a system that is designed similar to our current understanding of biological neural networks in the brain. DNNs are finding use in many applications, advancing at a fast ...