The NeuRRAM chip is not only twice as energy efficient as state-of-the-art, it's also versatile and delivers results that are just as accurate as conventional digital chips. Neuromorphic computing—a ...

Brain-inspired computing promises cheaper, faster, more energy efficient processing, according to experts at a Beijing conference, who discussed everything from reverse engineering insect brains to ...

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 ...

BUFFALO, N.Y. — It’s estimated it can take an AI model over 6,000 joules of energy to generate a single text response. By comparison, your brain needs just 20 joules every second to keep you alive and ...

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 ...

Efforts to build brain-inspired computer hardware have been underway for decades, but the field has yet to have its breakout moment. Now, leading researchers say the time is ripe to start building the ...

Analysts project the global neuromorphic computing market to skyrocket – from roughly $7.5 billion in 2024 to nearly $59 billion by 2033. This explosive forecast set the stage for an unexpected ...

Neuromorphic computing, inspired by the brain, integrates memory and processing to drastically reduce power consumption compared to traditional CPUs and GPUs, making AI at the network edge more ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...