The integration of biological principles into artificial visual systems is advancing machine vision, enabling superior performance in real-time applications.

Physicists working with computer specialists have developed a so-called event-based architecture, using photonic processors. In a similar way to the brain, this makes possible the continuous ...

The chip contains almost 8,400 functioning artificial neurons from waveguide-coupled phase-change material. The researchers trained this neural network to distinguish between German and English texts ...

A team has developed a novel approach for comparing neural networks that looks within the 'black box' of artificial intelligence to help researchers understand neural network behavior. Neural networks ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

What are convolutional neural networks in deep learning? Convolutional neural networks are used in computer vision tasks, which employ convolutional layers to extract features from input data.

The 2024 Nobel Prize in physics has been awarded to John Hopfield and Geoffrey Hinton for their fundamental discoveries in machine learning, which paved the way for how artificial intelligence is used ...

What Are Artificial Neural Networks (ANNs)? Artificial neural networks are machine learning algorithms that process data in a way inspired by the human brain. The network uses neurons, or ...

Yann LeCun, Meta's chief AI scientist and one of the pioneers of artificial intelligence, believes LLMs will be largely ...