IMPORTANT NOTE (09/21/2017): This GitHub repository contains the code examples of the 1st Edition of Python Machine Learning book. If you are looking for the code examples of the 2nd Edition, please ...

Spiking Neural Networks (SNNs) are gaining significant traction in machine learning tasks where energy-efficiency is of utmost importance. Training such networks using the state-of-the-art ...

Department of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong 999077 Centre for Biosystems, Neuroscience, and Nanotechnology, City University of Hong Kong, Kowloon, Hong Kong ...

Emerging two-terminal nanoscale memory devices, known as memristors, have demonstrated great potential for implementing energy-efficient neuro-inspired computing architectures over the past decade. As ...

The source codes for certain products of major Vietnamese cybersecurity firm Bkav are being offered on sale on a data leak forum for a total of $250,000. The leaks were recently posted on Raidforums, ...

How can we train spiking neural networks to achieve brain-like performance in machine learning tasks? The resounding success and pervasive use of the backpropagation algorithm in deep learning ...

1 Department of Electronics, Computing and Mathematics, University of Derby, Derby, UK. 2 Department of Computer Science and Intelligent Systems, Iwate University, Morioka, Japan. 3 BAC International ...