68 citations · 149 across the 6 of their papers we have counts for
20 papers
Spintronics-compatible approach to solving maximum satisfiability problems with probabilistic computing, invertible logic and parallel tempering
Andrea Grimaldi, Luis Sánchez-Tejerina1, Navid Anjum Aadit +4
The search of hardware-compatible strategies for solving NP-hard combinatorial optimization problems (COPs) is an important challenge of today s computing research because of their…
Quantitative Evaluation of Hardware Binary Stochastic Neurons
Orchi Hassan, Supriyo Datta, Kerem Y. Camsari
Recently there has been increasing activity to build dedicated Ising Machines to accelerate the solution of combinatorial optimization problems by expressing these problems as a gr…
Double Free-Layer Magnetic Tunnel Junctions for Probabilistic Bits
Kerem Y. Camsari, Mustafa Mert Torunbalci, William A. Borders +2
Naturally random devices that exploit ambient thermal noise have recently attracted attention as hardware primitives for accelerating probabilistic computing applications. One such…
Spintronics for neuromorphic computing
J. Grollier, D. Querlioz, K. Y. Camsari +3
Neuromorphic computing uses brain-inspired principles to design circuits that can perform computational tasks with superior power efficiency to conventional computers. Approaches t…
Hardware Design for Autonomous Bayesian Networks
Rafatul Faria, Jan Kaiser, Kerem Y. Camsari +1
Directed acyclic graphs or Bayesian networks that are popular in many AI related sectors for probabilistic inference and causal reasoning can be mapped to probabilistic circuits bu…
The promise of spintronics for unconventional computing
Giovanni Finocchio, Massimiliano Di Ventra, Kerem Y. Camsari +3
Novel computational paradigms may provide the blueprint to help solving the time and energy limitations that we face with our modern computers, and provide solutions to complex pro…