Topic
Brain-inspired, low-power computing architectures and the devices, including artificial synapses, intended to implement them.
INSPIRE, a method that trains photonic chips on the hardware itself, produced matrices with 0.26% relative error, its developers report. The gradients are measured on the fabricated device, so training does not depend on a software model of the chip.
Reality
Texas A&M simulations show that ions inside a zinc-based metal-organic framework make it easier for electrons to move through the material. The coupling matters for adaptive, neuron-like analog hardware, but the study maps a mechanism in one material and builds no device.
Reality
A Gothenburg and HZB team filmed magnetization dynamics inside a CoFeB spin Hall nano-oscillator at BESSY II. Simulations matched the movies only after grain boundaries, weakened anisotropy and the Dzyaloshinskii-Moriya interaction were added.
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The 20-watt brain frames the ambition of brain-inspired hardware. The working examples are event cameras tracking debris in orbit and a low-power processor sold by Australia's BrainChip, running alongside GPUs.
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The Perspective calls them self-organizing memristive networks and applies mean-field theory, graph theory and disordered-systems physics to their conductance dynamics, with the energy saving still stated as a motivation.
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A thin viscoelastic layer of PDMS keeps two metal electrodes from snapping together and holds the history of voltages applied to them. Integrating a sensor with that memory is the team's next project.
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An international team including the University of Edinburgh set synaptic weights in Fe3GaTe2 by turning a whole skyrmion lattice into stripes, with no cooling. The 0.66 picojoule energy figure is a projection.
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A 300 C bake in low oxygen turned pristine lithium titanate from a poor ion conductor into a better one without touching the formula. The published account carries no number for how much better.
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Twenty CL1 units at NUS are the first biological compute install with someone on the hook for maintenance. The efficiency pitch that justifies it still has no published number.
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Oak Ridge researchers report memristance and memcapacitance in the same model membrane, which turns lipid chemistry into a hardware design variable rather than biological background.
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