neuromorphic computing tagged posts

A quantum breakthrough makes light behave like both a solid and a liquid

Bizarre Quantum Matter at Room Temperature
A supersolid is an extraordinary state of matter that combines superfluidity with the spontaneous formation of a periodic, crystal-like structure. Credit: Marcin Muszyński, Faculty of Physics, University of Warsaw

Scientists have observed a bizarre quantum state of matter that combines the structure of a crystal with the frictionless flow of a liquid, all at room temperature. The breakthrough overturns a major practical limitation of exotic quantum experiments and could help bring powerful new light-based computing and sensing technologies closer to reality.

Scientists have demonstrated an extraordinary form of quantum matter that combines two properties that seem incompatible...

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Soundwaves could power a new kind of chip inspired by the human brain

Neuromorphic functionality and computational benchmarking of TAS. Credit: Science Advances (2026). DOI: 10.1126/sciadv.aec6633

Neuromorphic computing is a computing approach that mimics how the human brain works. Our gray matter is a marvel of nature, capable of handling huge volumes of data with incredible energy efficiency. While modern AI hardware is becoming better at processing complex tasks, it consumes vast amounts of energy.

One of the promises of neuromorphic computing is that it places memory and processing in the same location, using far less energy than traditional AI chips. However, even the most sophisticated neuromorphic systems are fairly simple and don’t come close to matching the number of connections among human neurons.

But a new study published in the journal...

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Bridging the gap between neuromorphic ionic computing and more efficient AI

Bridging the gap between neuromorphic ionic computing and more efficient AI
Neuromorphic ionic devices have the potential to mimic the energy efficient computing found in the human brain. Credit: J. Cataldo/LLNL

The human brain is the ultimate supercomputer. It uses a highly branched and interconnected network of neurons and synapses to achieve massive computational power with extreme efficiency. In the age of AI, the brain, a paradigm of efficient neuromorphic computing, is providing inspiration for scientists.

Ionic computing—which uses ions to compute instead of the electrons in typical devices—could provide a path forward for neuromorphic technology that rivals the brain’s efficiency. But the field is only a few years old, and many challenges remain before it moves beyond proof of principle and toward real-world deployment.

To bring neuromorphic ...

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Artificial neurons replicate biological function for improved computer chips

Artificial neurons developed by USC team replicate biological function for improved computer chips
An integrated spiking artificial neuron, with rich neuron functionality, single-transistor footprints, and low energy consumption for neuromorphic computing systems, can be created by stacking one diffusive memristor and one resistor on top of a transistor. The photograph on the cover shows the chip of an array of these integrated neurons, which are fabricated in the university’s cleanroom and have an active region of around 4 μm2 for each neuron. Credit: The Yang Lab at USC

Researchers at the USC Viterbi School of Engineering and School of Advanced Computing have developed artificial neurons that replicate the complex electrochemical behavior of biological brain cells.

The innovation, documented in Nature Electronics, is a leap forward in neuromorphic computing technology...

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