As infrastructure automation demand surges, NetBox Labs is delivering an AI agent that enables natural language interaction ...

Networks of molecules in our body behave as though they have goals and desires. Understanding this phenomenon could solve the ...

A new study has demonstrated how networks of spiking nanolasers could emulate a key principle of brain function: to imagine ...

AI models are data-movement limited, so the Salience switch enables all optical networking between compute nodes, removing ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

AI is ultimately a story about selfhood—and the answer will not be found in the machine, but in what mindful awareness allows us to recognize when we see ourselves reflected there.

New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI computational models that predict the degeneration of neural networks in amyotrophic ...

IBM (IBM) and Cisco (CSCO) are collaborating to design a connected network of large-scale, fault-tolerant quantum computers, targeted by early 2030s. The companies said that within five years, the two ...

IBM and Cisco will collaborate to build a network of large-scale, fault-tolerant quantum computers. The companies said they expect to have an initial demonstration of the network within five years.

Medical imaging has become an essential tool for identifying and treating neurological conditions. Traditional deep learning (DL) models have made tremendous advances in neuroimaging analysis; however ...