Deep neural networks will allow signal transfer of nerve cells to be analyzed in real time in the future. That is the result ...
Engineering simulations often require significant computational resources and time, which creates barriers for users and can ...
Researchers developed a novel method combining hydrogel-coated microfluidic devices with high-density microelectrode arrays to study neuronal networks. This innovation allows precise spatial and ...
When designing a robot, such as Boston Dynamics' anthropomorphic robot Atlas, which appears exercising and sorting boxes, ...
Just as GPUs once eclipsed CPUs for AI workloads, Neural Processing Units (NPUs) are set to challenge GPUs by delivering even ...
For the unaware, a neural network is an AI structure modelled after ... "training", where it iterates on a small level, using wide sets of data. When a network is "trained" on something, that ...
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, ...