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.

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 ...

Computers have come so far in terms of their power and potential, rivaling and even eclipsing human brains in their ability to store and crunch data, make predictions and communicate. But there is one ...

In recent years, neuromorphic computing has emerged as one of the most efficient solutions for managing the vast amounts of data generated by conventional information technologies. Its systems are ...

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 ...

Memristors — short for “memory resistors” — are the brainlike workhorses of neuromorphic computing, capable of learning from ...

Large scale datasets and information processing requirements, within complex environments, are continuously reaching unprecedented levels of sophistication, especially in the advent of artificial ...

Neuromorphic computing -- a field that applies principles of neuroscience to computing systems to mimic the brain's function and structure -- needs to scale up if it is to effectively compete with ...

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 ...

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

The latest update is out from dorsaVi Limited ( ($AU:DVL) ). dorsaVi Limited has acquired a groundbreaking neuromorphic technology portfolio from ...

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