Recent advancements in neuromorphic computing have been closely linked to the development of resistive memory devices, such as resistive random-access memory (RRAM) and magnetoresistive random ...

A team of bioengineers at Tsinghua University, working with medical research colleagues from Tianjin University, both in ...

and computing devices based on the emergent revolutionary paradigms of quantum computing and neuromorphic computing. In addition, this research includes emergent paradigms that blend computing and ...

By integrating sensing, computing, and memory functions within a single device, neuromorphic systems can overcome the limitations of traditional architectures. The implementation of artificial ...

Neuromorphic computing differs from neural engines, which are all digital circuits and widely incorporated into everyday devices such as smartphones. Neuromorphic designs imply analog circuits as ...

In a development for artificial intelligence, researchers have unveiled a 28×28 synaptic device array that promises to ...

Neuromorphic computing -- a field that applies principles of neuroscience to computing systems to mimic the brain's function and structure -- needs to scale up if it is to effectively compete with ...

What is special about this computing chip is that it can learn and correct errors that occur due to non-ideal characteristics that were difficult to solve in existing neuromorphic devices.

A Korean research team has succeeded in securing a basic technology for further improving the completeness level of ...