SpiNNcloud, a University of Dresden spinout, is offering a five-billion neuron supercomputer in the cloud based on the second generation of Steve Furber’s SpiNNaker…
Browsing: Spiking Neural Networks
The article discusses the potential of neuromorphic processors, inspired by the properties of animal brains, to provide faster and more energy efficient processing for…
This article discusses a new online spike encoding algorithm for spiking neural networks and its potential for identifying diagnostic biomarkers using deep learning neural…
This article discusses the advancements in neuromorphic computing and its impact on AI growth. It highlights the importance of new architectures and memory technologies,…
Arpan Pal, a distinguished Chief Scientist and Research Area Head at TCS Research, has an impressive career spanning over three decades in Intelligent Sensing,…
In a new study, researchers Bojian Yin and Sander Bohté from the Dutch National Research Institute for Mathematics and Computer Science (CWI) have demonstrated…
In a new study in Nature Machine Intelligence, researchers Bojian Yin and Sander Bohté from the Dutch National Research Institute for Mathematics and Computer…
A new Nature Machine Intelligence study demonstrated a new approach to training spiking neural networks on a large scale. By combining brain-like neurons with…
This script is designed to calculate the theoretical amount of synaptic operations in spiking neural networks, including accumulated (AC) and multiply-accumulate (MAC) operations. It…
BrainChip’s technology uses a type of neuromorphic computing called spiking neural networks (SNNs) which has many attractive characteristics, including the ability to be trained…