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

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 ...

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

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

AI applications like ChatGPT are based on artificial neural networks that, in many respects, imitate the nerve cells in our ...

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

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

Researchers at Oxford University uncover how deep neural networks possess an intrinsic simplicity bias, enabling them to ...