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.
As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...
Scientists demonstrate neuromorphic computing utilizing perovskite microcavity exciton polaritons operating at room temperature. (Nanowerk News) Neuromorphic computing, inspired by the human brain, is ...
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 ...
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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 ...
SpiNNcloud Systems today announced that its cutting-edge supercomputing platform, built on the SpiNNaker2 architecture, has ...
For the last hundred or so years, collectively as humanity, we’ve been dreaming, thinking, writing, singing, and producing movies about a machine that could think, reason, and be intelligent in a ...
July 10, 2024 — The U.S. Department of Energy’s Advanced Scientific Computing Research (ASCR) program has announced a Monday July 22 deadline (11:59 pm ET) for position papers for a workship on ...
The latest update is out from dorsaVi Limited ( ($AU:DVL) ). dorsaVi Limited has acquired a groundbreaking neuromorphic technology portfolio from ...