Articles

Intelligent Bayesian regularization backpropagation neuro computing paradigm for state features estimation of underwater passive object

in Physical Acoustics and Ultrasonics

• Wasiq Ali
• Muhammad Bilal
• Ayman Alharbi
• Amar Jaffar
• Abdulaziz Miyajan
• Syed Agha Hassnain Mohsan

Bayesian continual learning via spiking neural networks

• Nicolas Skatchkovsky
• Hyeryung Jang
• Osvaldo Simeone

Brain-Inspired Hardware Solutions for Inference in Bayesian Networks

in Neuromorphic Engineering

• Leila Bagheriye
• Johan Kwisthout

Stochastic learning in oxide binary synaptic device for neuromorphic computing

in Neuromorphic Engineering

• Shimeng Yu
• Bin Gao
• Zheng Fang
• Hongyu Yu
• Jinfeng Kang
• H.-S. Philip Wong

Minding the gap between artificial and biological computing paradigms for biologically loyal AI

• K. L. Kirkpatrick

Maximum Power Point Tracking in Power System Control Using Reservoir Computing

in Sustainable Energy Systems

• Matthew Akatey Seddoh
• David Mensah Sackey
• Amevi Acakpovi
• De-Graft Owusu-Manu
• Robert A. Sowah

A field test of a federated learning/federated analytic blockchain network implementation in an HPC environment

in Blockchain Technologies

• James E Short
• Ken Miyachi
• Christian Toouli
• Steve Todd

Digital Implementation of Oscillatory Neural Network for Image Recognition Applications

in Neuromorphic Engineering

• Madeleine Abernot
• Thierry Gil
• Manuel Jiménez
• Juan Núñez
• María J. Avellido
• Bernabé Linares-Barranco
• Théophile Gonos
• Tanguy Hardelin
• Aida Todri-Sanial

Flexible and Stretchable Memristive Arrays for in-Memory Computing

in Nanodevices

• Xusheng Liu
• Jie Cao
• Jie Qiu
• Xumeng Zhang
• Ming Wang
• Qi Liu

Oscillatory neural network learning for pattern recognition: an on-chip learning perspective and implementation

in Neuromorphic Engineering

• Madeleine Abernot
• Nadine Azemard
• Aida Todri-Sanial

A secure edge power system based on a Docker container

in Smart Grids

• Xinchen Xu
• Yixin Jiang
• Hong Wen
• Wenjing Hou
• Songlin Chen

Optimal hyperdimensional representation for learning and cognitive computation

in Machine Learning and Artificial Intelligence

• Prathyush P. Poduval
• Hamza Errahmouni Barkam
• Xiangjian Liu
• Sanggeon Yun
• Yang Ni
• Zhuowen Zou
• Nathaniel D. Bastian
• Mohsen Imani

Trainable quantization for Speedy Spiking Neural Networks

in Neuromorphic Engineering

• Andrea Castagnetti
• Alain Pegatoquet
• Benoît Miramond

Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks

in Neuromorphic Engineering

• Yujie Wu
• Lei Deng
• Guoqi Li
• Jun Zhu
• Luping Shi

Self-evolving cognitive substrates through metabolic data processing and recursive self-representation with autonomous memory prioritization mechanisms

in Machine Learning and Artificial Intelligence

• Mohammadreza Nehzati