Through pioneering neuromorphic computing research, Yiran Chen is developing brain-inspired hardware neurons that could lead ...

As power and latency bottlenecks grow, engineers are exploring neuromorphic chips to deliver low-energy, real-time AI at the edge of embedded and IoT systems.

SpiNNcloud Systems today announced that its cutting-edge supercomputing platform, built on the SpiNNaker2 architecture, has ...

Covering developments in neuromorphic computing has been something of a piecemeal experience, as happens with all novel architectures. There are few companies with scalable devices and the research is ...

Scientists demonstrate neuromorphic computing utilizing perovskite microcavity exciton polaritons operating at room temperature. (Nanowerk News) Neuromorphic computing, inspired by the human brain, is ...

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 ...

Some heavy hitters like Intel, IBM, and Google along with a growing number of smaller startups for the past couple of decades have been pushing the development of neuromorphic computing, hardware that ...

For how powerful today’s “smart” devices are, they’re not that good at working smarter rather than working harder. With AI constantly connected to the cloud and the chip constantly processing tasks ...

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