Humans and certain animals appear to have an innate capacity to learn relationships between different objects or events in ...

When it comes to tasks other than number crunching, the human brain possesses many advantages over a digital computer. We can quickly recognize a face, even when seen from the side in bad lighting ...

Many conventional computer architectures are ill-equipped to meet the computational demands of machine learning-based models. In recent years, some engineers have thus been trying to design ...

Neural AI (often referred to as neural network technology) applies pattern recognition on large datasets based on the complex ...

A t CES 2025, Nvidia announced so many new things that it was somewhat hard to figure out just what was really worth paying ...

A Generative Adversarial Network (GAN) is a type of machine learning model that’s used to generate fake data that resembles ...

Engineering simulations often require significant computational resources and time, which creates barriers for users and can ...

Deep neural networks will allow signal transfer of nerve cells to be analyzed in real time in the future. That is the result of a study conducted by physiologists at Friedrich-Alexander ...

"We create neural networks that can perform specific tasks ... mathematical understanding can be useful far beyond this first example." The implications of the work extend beyond image processing.

A new mathematical model sheds light on how the brain processes different cues, such as sights and sounds, during decision ...

Titans architecture complements attention layers with neural memory modules that select bits of information worth saving in the long term.

One of the most agonizing experiences a cancer patient suffers is waiting without knowing: waiting for a diagnosis, waiting ...