Born-Rule Spiking Networks Lower Energy Costs in Quantum State Tomography
A new Born-rule physics-informed spiking neural network embeds finite-shot noise directly into network dynamics, reducing quantum state tomography inference energy ...
Tag: neuromorphic hardware
Fixed Reservoir Networks Model Natural Language with Simpler Trainable Components
Researchers at Saitama University demonstrated that reservoir computing architectures with fixed recurrent dynamics can perform language modeling while substantially simplifying ...
Adiabatic capacitive neuron: an energy-efficient functional unit for artificial neural networks
Researchers at the University of Edinburgh have developed an adiabatic capacitive neuron that recycles electrical charge to cut artificial neural ...
Stacked AI Chip Reads Motion Across Time With Tunable Ion Transistors
Researchers at KAIST, UNIST, and POSTECH have stacked solid ion-gated transistors with different response speeds into a 3D reservoir architecture ...
Swarms of Simple Machines: How Europe’s EMERGE Project Built Awareness Without a Brain
The four-year EIC Pathfinder project EMERGE has concluded, showing that collaborative awareness can emerge from swarms of simple artificial agents ...
Brain-Inspired Chips Get a Boost From Reconfigurable Molybdenum Disulfide Transistors
Researchers have built a reconfigurable computing architecture in which molybdenum disulfide dual-gate transistors with ferroelectric gating act as both spiking ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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