no code implementations • 5 Mar 2023 • Adam N. McCaughan, Bakhrom G. Oripov, Natesh Ganesh, Sae Woo Nam, Andrew Dienstfrey, Sonia M. Buckley
We present multiplexed gradient descent (MGD), a gradient descent framework designed to easily train analog or digital neural networks in hardware.
no code implementations • 1 Mar 2021 • Natesh Ganesh
In this short paper, we will introduce a simple model for quantifying philosophical vagueness.
no code implementations • 28 May 2020 • Natesh Ganesh
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.
no code implementations • 4 May 2020 • Natesh Ganesh
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.