As these technologies advance, there is a growing emphasis on optimizing neural network architectures for energy efficiency, especially in hardware implementations. Recent research has focused on ...

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

Two new neural network designs promise to make AI models more adaptable and efficient, potentially changing how artificial ...

Just as GPUs once eclipsed CPUs for AI workloads, Neural Processing Units (NPUs) are set to challenge GPUs by delivering even ...

As speech recognition technology continues to evolve, the demand for energy-efficient neural network architectures has become increasingly important, especially for mobile and Internet-of-Things ...

Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...

We humans excel at generalization. If you taught a toddler to identify the color red by showing her a red ball, a red truck ...

We check out the first details of Nvidia's new technology that uses neural shaders to improve what we see in video games ...

The brain's ability to track orientation and position is essential for memory, navigation, and decision-making. Traditionally ...

Researchers developed a novel method combining hydrogel-coated microfluidic devices with high-density microelectrode arrays ...