Neuromorphic engineering is an interdisciplinary field that combines principles from neuroscience, computer science, and electrical engineering to design artificial neural systems, often referred to ...

Although today’s computers can perform superhuman feats, even the best are no match for human brains at tasks like processing speech. But as Jessamyn Fairfield explains, a new generation of ...

An international team of researchers has designed and built a chip that runs computations directly in memory and can run a wide variety of AI applications -- all at a fraction of the energy consumed ...

The latest research progress in the field of MXene-based neuromorphic computing is reviewed. The design strategy of MXene-based neuromorphic devices encompasses multiple factors are summarized, ...

As computer vision (CV) systems become increasingly power and memory intensive, they become unsuitable for high-speed and resource deficit edge applications - such as hypersonic missile tracking and ...

A new technical paper titled “A tunable multi-timescale Indium-Gallium-Zinc-Oxide thin-film transistor neuron towards hybrid solutions for spiking neuromorphic applications” was published by ...

What if next-generation computing systems were able to adopt the human brain’s information processing capacity and energy efficiency? Researchers at Rochester Institute of Technology have begun to ...

In emerging computing fields like quantum computing and neuromorphic computing, hardware usually grabs the lion’s share of attention. You can see the systems and the chips that drive them, talk about ...

Neuromorphic engineering is finally getting closer to market reality, propelled by the AI/ML-driven need for low-power, high-performance solutions. Whether current initiatives result in true ...

Cory Merkel, assistant professor of computer engineering at Rochester Institute of Technology, will represent the university as one of five collegiate partners in the new Center of Neuromorphic ...