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

Deep neural networks will allow signal transfer of nerve cells to be analyzed in real time in the future. That is the result ...

Researchers at FORTH have developed a new type of artificial neural network (ANN) that incorporates features of biological ...

The explosive development of machine learning (ML) and artificial intelligence (AI) is changing industries worldwide. One of the driving forces of the change is ...

The AI model was able to eventually match the rats’ image processing capabilities, but only after using more and more ...

The AI Conundrum is aimed squarely at non-technical management who want to better understand the risk and rewards of AI in ...

The integration of XAI methods not only improves transparency but also fosters trust among farmers and agricultural experts.

The rise of AI reveals the differences between human and machine learning, sparking new insights into the human brain.

The AI model that shook the world is part of a broad trend to squeeze more out of chips using what's called sparsity.

Nvidia Corporation greatly benefited from the AI boom with its GPUs driving neural networks and machine-learning models.

Our world runs on computer chips. From the chips that run new cars to the chips that help your phones and computers process information to the microchips that help track lost anim ...

Neural networks have revolutionized the fields of artificial intelligence (AI) and machine learning by providing a flexible, ...