Recurrent Neural Networks (RNN): A special type of neural network, RNN is a complex network that uses the output of a node ...

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

Agentic AI, quantum computing, brain-computer interfaces, decentralized finance... astonishing breakthroughs and convergences ...

Researchers have created an all-optical computer capable of 100 GHz speeds that runs off light instead of electricity.

The AI model that shook the world is part of a broad trend to squeeze more out of chips using what's called sparsity.

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

When designing a robot, such as Boston Dynamics' anthropomorphic robot Atlas, which appears exercising and sorting boxes, ...

Participant says controlling the virtual drone felt like playing a musical instrument, evoking activity and socialization.

A collaborative team of researchers from Carnegie Mellon University and the University of Pittsburgh designed a clever experiment using a brain-controlled interface to determine whether one-way ...

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

Neural network models that are able to make decisions or store memories have long captured scientists' imaginations. In these ...

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, ...