Neuromorphic computing technologies will be important for the future of computing, but
much of the work in neuromorphic computing has focused on hardware development. Here …

Computing is a critical driving force in the development of human civilization. In recent years,
we have witnessed the emergence of intelligent computing, a new computing paradigm that …

Neuromorphic computing draws inspiration from the brain to provide computing technology
and architecture with the potential to drive the next wave of computer engineering …

Abstract Quantum Bridge Analytics relates generally to methods and systems for hybrid
classical-quantum computing, and more particularly is devoted to develo** tools for …

Deep neural networks with rate-based neurons have exhibited tremendous progress in the
last decade. However, the same level of progress has not been observed in research on …

Neuromorphic computing, which aims to replicate the computational structure and
architecture of the brain in synthetic hardware, has typically focused on artificial intelligence …

Tensor cores, along with tensor processing units, represent a new form of hardware
acceleration specifically designed for deep neural network calculations in artificial …

Current neuromorphic systems often may be difficult to use and costly to deploy. There exists
a need for a simple yet flexible neuromorphic development platform which can allow …