Researchers outline a bold strategy to scale neuromorphic computing, aiming to match human brain functionality with minimal ...

Traditional artificial intelligence (AI) systems are built on artificial neural networks that mimic the human brain’s neurons ...

Neuromorphic computing—a field that applies principles of neuroscience to computing systems to mimic the brain’s function and ...

BrainChip today announced its integration into an innovative technology offering that leverages the Akida™ processor to ...

Deep neural networks (DNNs) have revolutionized machine learning, yet their success defies classical expectations. They ...

Imagine using living bacteria to answer mathematical questions or solve problems that a traditional computer would usually handle. It might sound like something out of a tacky sci-fi film, but it’s a ...

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, ...

Reservoir computing (RC) is a powerful machine learning module designed to handle tasks involving time-based or sequential ...

For almost two decades, the conventional wisdom has been that when the US Federal Reserve makes a surprise rate decision, the resulting moves in the stock market are driven by the projected equity ...

AI applications like ChatGPT are based on artificial neural networks that, in many respects, imitate the nerve cells in our brains. They are trained with vast quantities of data on high-performance ...