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

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

Researchers developed an automated system to help programmers increase the efficiency of their deep learning algorithms by simultaneously leveraging two types of redundancy in complex data structures: ...

An artificial neural network is a deep learning model made up of neurons that mimic the human brain. Techopedia explains the full meaning here.

AI revolutionizes initial inventory planning and stockpiling by estimating demand even when historical data is missing. This optimizes procurement, reduces costs, and prevents stockouts. AI-driven ...

Engineering simulations often require significant computational resources and time, which creates barriers for users and can ...

The underlying principle is the spiking neural network (SNN ... versus one or two hours in a conventional Wi-Fi-based product that sends image and video data to servers.

Neural Concept will showcase the latest platform advancements, address emerging engineering challenges, and present automotive and microelectronics use cases that have delivered unprecedented customer ...

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

Neural shaders, as Nvidia calls them, allow developers to execute small neural networks from shader code, running them on the dedicated AI hardware available on Nvidia, AMD, Intel, and Qualcomm GPUs.