Aimone, James B.

1. Solving a steady-state PDE using spiking networks and neuromorphic hardware
   2020/05/21 by J. Darby Smith, Smith, J. Darby, William Severa +15 · 3 citations
   Computer Science · Engineering · #Advanced Memory and Neural Computing #Computational Engineering #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Finance #Neural Networks and Reservoir Computing #Neural and Evolutionary Computing (cs.NE) #and Science (cs.CE) #cs.CE #cs.NE
2. NeuroFEM Notebook
   2024/01/01 by Bradley H. Theilman, Theilman, Bradley H., James B. Aimone +1 · 1 voice · 3 citations
   Computer Science · Engineering · Mathematics · #Advanced Numerical Analysis Techniques #Manufacturing Process and Optimization #Neural Networks and Applications #cs.AI #cs.LG #cs.NE #math.NA
3. Spiking Neural Algorithms for Markov Process Random Walk
   2018/05/01 by William Severa, Severa, William, Rich Lehoucq +5 · 2 citations
   Computer Science · #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE) #cs.ET #cs.NE
4. Random Bitstream Generation using Voltage-Controlled Magnetic Anisotropy and Spin Orbit Torque Magnetic Tunnel Junctions
   2022/11/29 by Samuel Liu, Jaesuk Kwon, Liu, Samuel +15 · 3 citations
   Computer Science · #Chaos-based Image/Signal Encryption #Computational Physics and Python Applications #FOS: Physical sciences #Mesoscale and Nanoscale Physics (cond-mat.mes-hall) #Neural Networks and Applications
5. Dynamic Analysis of Executables to Detect and Characterize Malware
   2017/11/10 by Michael R. Smith, Joe B. Ingram, Smith, Michael R. +11 · 1 citation
   Computer Science · Mathematics · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (stat.ML) #cs.CR #stat.ML
6. Resilient Computing with Reinforcement Learning on a Dynamical System: Case Study in Sorting
   2018/09/24 by Aleksandra Faust, Faust, Aleksandra, James B. Aimone +5 · 1 voice
   Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Computability, Logic, AI Algorithms #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Optimization and Search Problems #Reinforcement Learning in Robotics #Systems and Control (eess.SY) #cs.AI #cs.LG #eess.SY #electronic engineering #information engineering
7. AI-Guided Codesign Framework for Novel Material and Device Design applied to MTJ-based True Random Number Generators
   2024/11/01 by Karan Patel, Andrew Maicke, Patel, Karan P. +15 · 1 citation
   Engineering · #3D IC and TSV technologies #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Manufacturing Process and Optimization #Modular Robots and Swarm Intelligence #Neural and Evolutionary Computing (cs.NE)
8. Magnetic Tunnel Junction Random Number Generators Applied to Dynamically Tuned Probability Trees Driven by Spin Orbit Torque
   2023/11/27 by Andrew Maicke, Jared Arzate, Maicke, Andrew +17 · 1 citation
   Engineering · Physics and Astronomy · #FOS: Physical sciences #Ferroelectric and Negative Capacitance Devices #Magnetic properties of thin films #Mesoscale and Nanoscale Physics (cond-mat.mes-hall) #Quantum and electron transport phenomena
9. Design Principles for Lifelong Learning AI Accelerators
   2023/10/05 by Dhireesha Kudithipudi, Kudithipudi, Dhireesha, Anurag Daram +21 · 1 citation
   Computer Science · Engineering · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Electrical engineering #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Systems and Control (eess.SY) #electronic engineering #information engineering