12/12/2023 - Emre Neftci presents on efficient sampling machines enabled by stochastic synapses. SAND2023-14755O.
11/16/23 - Sean Shaheen presents on optimization for reservoir computers for chaotic time series prediction and their implementation in organic electrochemical systems. SAND2023-13710O.
Rajit Manohar: Evaluating Neuromorphic Algorithms on Neuromorphic Substrates
Kerem Çamsari: Probabilistic Computing & p-bits for Optimization, ML and Quantum
Andrew Kent: Magnetic Tunnel Junction Based Random Number Generators
Madhavan Swaminathan: Bayesian Learning for UQ, Optimization, and Inverse Design
Sarbajit Banerjee, associate director of the reMIND EFRC presents on an expanded palette of materials and methods for neuromorphic computing. SAND2023-02135O
Catherine (Katie) Schuman presents on evolutionary algorithm methods and case studies for co-design. SAND2023-00790O
Nat Trask: Structure-Preserving Graph Discovery for Causal SciML
Abhronil Sengupta: Neuromorphic Computing - Bridging the Gap between Nanoelectronics, Neuroscience, and Machine Learning
Supriyo Datta presents on p-Bits
COINFLIPS monthly seminar. SAND2022-14037O
Gert Cauwenberghs presents on large-scale neuromorphic computing at the edge. SAND2022-16042O
Jean Anne Incorvia presents on unconventional computing using magnetic tunnel junctions. SAND2022-10279O
Coinflips: CO-designed Improved Neural Foundations Leveraging Inherent Physics Stochasticity
-2022 NICE Conference
How Probabilistic Neuromorphic Computing May Impact Scientific Computing Applications
-2022 Salishan HPC Conference, April 2022
Recent news articles published
Copyright © 2023 Funded under the DOE National Laboratory Announcement Microelectronics Co-Design Research. SAND2022-3825 C and SAND2022-16196 O
We acknowledge support from the DOE Office of Science's Advanced Scientific Computing Research (ASCR) program and Basic Energy Sciences (BES) programs, Microelectronics Co-Design project COINFLIPS.