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Multiplexed gradient descent: Fast online training of modern datasets on hardware neural networks without backpropagation
We present multiplexed gradient descent (MGD), a gradient descent framework designed to easily train analog or digital neural networks in hardware.
From Quantifying Vagueness To Pan-niftyism
In this short paper, we will introduce a simple model for quantifying philosophical vagueness.
No Substitute for Functionalism -- A Reply to 'Falsification & Consciousness'
In their paper 'Falsification and Consciousness' [1], Kleiner and Hoel introduced a formal mathematical model of the process of generating observable data from experiments and using that data to generate inferences and predictions onto an experience space.
A Non-equilibrium Thermodynamic Framework of Consciousness
In this paper, we take a brief look at the advantages and disadvantages of dominant frameworks in consciousness studies -- functionalist and causal structure theories, and use it to motivate a new non-equilibrium thermodynamic framework of consciousness.
