Nvidia's neural texture compression technology, originally shown off at CES 2025, has been tested with early preview drivers, ...

The artificial intelligence community has long struggled with a fundamental challenge of making AI systems transparent and understandable. As large language models become increasingly powerful, ...

There's a myth floating around that most of our intelligence is inherited from our mothers, but there are a few good reasons ...

Researchers reveal how modeling the human brain’s hidden wiring could push AI beyond its current limits into human-like cognition.

Brain-inspired chips can slash AI energy use by as much as 100-fold, but the road to mainstream deployment is far from ...

Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and ...

In a world where search engines and AI chatbots serve up instant answers, brands struggle to stand out and truly connect.

Carrier phase recovery (CPR) is crucial in coherent optical communication, ensuring reliable data transmission. This paper proposes a novel artificial neural network (ANN)- based CPR algorithm. It ...

A deep convolutional neural network is used to extract high-order morphological features from binary images to distinguish textured microstructures from untextured microstructures. The convolutional ...

Next, unlike conventional physics-informed neural networks that only utilize macroscopic physical information, we constrain the training of the neural network by using dynamic metabolic flux analysis ...