80 citations · 146 across the 6 of their papers we have counts for
6 papers
Exploiting Negative Capacitance for Unconventional Coulomb Engineering
Aravindh Shankar, Pramey Upadhyaya, Supriyo Datta
The many-body ground state of a two-dimensional electron system can be tuned by Coulomb engineering through control of the dielectric environment. However, in conventional dielectr…
Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm
Risi Jaiswal, Supriyo Datta, Joseph G. Makin
Reducing energy consumption has become a pressing need for modern machine learning, which has achieved many of its most impressive results by scaling to larger and more energy-cons…
Improving deep neural network performance through sampling
Lakshmi A. Ghantasala, Ming-Che Li, Risi Jaiswal +4
Energy efficient sampling with probabilistic neurons or p-bits has been demonstrated in the context of Boltzmann machines and it is natural to ask if these approaches can be extend…
Emergent Synaptic Plasticity from Tunable Dynamics of Probabilistic Bits
Sagnik Banerjee, Shiva T. Konakanchi, Supriyo Datta +1
Probabilistic (p-) computing, which leverages the stochasticity of its building blocks (p-bits) to solve a variety of computationally hard problems, has recently emerged as a promi…
All Spin Logic device with inbuilt Non-Reciprocity
Srikant Srinivasan, Angik Sarkar, Behtash Behin-Aein +1
The need for low power alternatives to digital electronic circuits has led to increasing interest in logic devices where information is stored in nanomagnets. This includes both na…
Switching Energy of Ferromagnetic Logic Bits
Behtash Behin-Aein, Sayeef Salahuddin, Supriyo Datta
Power dissipation in switching devices is believed to be the single most important roadblock to the continued down scaling of electronic circuits. There is a lot of experimental ef…