Defines a Cognitive Kardashev Scale using total power, cognitive fraction f, compute efficiency η, and brain reference to place current humanity at K ≈ 0.73 and estimate Type I/II capacities.
Seth Lloyd
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A cross-disciplinary model derives the neuronal resting potential from first principles, enhances the Hodgkin-Huxley framework, and integrates thermodynamic control of action potentials.
Neuromorphic computing using compute-in-memory, analog dynamics, and sparse brain-inspired communication offers a route to more energy-efficient AI beyond traditional CMOS scaling limits.
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The Cognitive Kardashev Scale: Quantifying the Material Envelope of Civilisational Computation
Defines a Cognitive Kardashev Scale using total power, cognitive fraction f, compute efficiency η, and brain reference to place current humanity at K ≈ 0.73 and estimate Type I/II capacities.
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The unified cross-disciplinary model of the operation of neurons
A cross-disciplinary model derives the neuronal resting potential from first principles, enhances the Hodgkin-Huxley framework, and integrates thermodynamic control of action potentials.
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Neuromorphic Computing for Low-Power Artificial Intelligence
Neuromorphic computing using compute-in-memory, analog dynamics, and sparse brain-inspired communication offers a route to more energy-efficient AI beyond traditional CMOS scaling limits.