eLife

Barcode activity in a recurrent network model of the hippocampus enables efficient memory binding

The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.
IEEE

Coexistence of Cyclic Sequential Pattern Recognition and Associative Memory in Neural Networks by Attractor Mechanisms

Abstract: Neural networks are developed to model the behavior of the brain. One crucial question in this field pertains to when and how a neural network can memorize a given set of patterns. There are ...
IEEE

BAM-Net: Hardware Friendly Associative Memory Using Binary Dominant Weights and NAND Logic

Abstract: This paper presents BAM-Net, a hardware-efficient binarization algorithm designed for associative memory (AM) implementation. BAM-Net aims to reduce memory overhead, power consumption, and ...
The Straits Times

AI dues are coming as soaring demand for memory chips set to boost computer prices

SINGAPORE - New technology comes at a price. While chatbots such as ChatGPT, Gemini and Copilot are accessible for free, dues for the artificial intelligence (AI) boom will be paid through a different ...