The rapid advancement of artificial intelligence, big data analytics, and scientific computing has imposed unprecedented demands on computational power, pushing traditional electronic architectures to ...

Strategic collaboration will soon give engineers direct access to BrainChip’s AKD1500 architecture through CELUS’s ...

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

At the end of 2022, the EU kicked off a cool project that aims to implement neuromorphic vision. But what is that? Let’s take a deeper look at the project and our contribution. First, if you are not ...

A research team has recently developed a groundbreaking neuromorphic exposure control (NEC) system that revolutionizes machine vision under extreme lighting variations. This biologically inspired ...

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 ...

Assistant Professor of Electrical and Computer Engineering Jason Eshraghian. Four years ago, UC Santa Cruz’s Jason Eshraghian developed a Python library that combines neuroscience with artificial ...

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 ...

Rochester Institute of Technology recently became one of the inaugural academic partners in the BrainChip University AI Accelerator Program. As part of the university-corporate partnership, RIT’s ...

Neuromorphic engineering is a cutting-edge field that focuses on developing computer hardware and software systems inspired by the structure, function, and behavior of the human brain. The ultimate ...

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 ...