17 citations · 32 across the 6 of their papers we have counts for
6 papers
Multiplexed gradient descent: Fast online training of modern datasets on hardware neural networks without backpropagation
Adam N. McCaughan, Bakhrom G. Oripov, Natesh Ganesh +3
We present multiplexed gradient descent (MGD), a gradient descent framework designed to easily train analog or digital neural networks in hardware. MGD utilizes zero-order optimiza…
From Quantifying Vagueness To Pan-niftyism
Natesh Ganesh
In this short paper, we will introduce a simple model for quantifying philosophical vagueness. There is growing interest in this endeavor to quantify vague concepts of consciousnes…
No Substitute for Functionalism -- A Reply to 'Falsification & Consciousness'
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 usin…
A Non-equilibrium Thermodynamic Framework of Consciousness
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 t…
Rebooting Neuromorphic Hardware Design -- A Complexity Engineering Approach
Natesh Ganesh
As the compute demands for machine learning and artificial intelligence applications continue to grow, neuromorphic hardware has been touted as a potential solution. New emerging d…
Thermodynamic Computing
Tom Conte, Erik DeBenedictis, Natesh Ganesh +36
The hardware and software foundations laid in the first half of the 20th Century enabled the computing technologies that have transformed the world, but these foundations are now u…