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.

Bio-inspired nanochannels provide experimental evidence for uncovering brain memory mechanisms

A research team from the Institute of Modern Physics of the Chinese Academy of Sciences and Lanzhou University has obtained ...
Network World

SOCAMM memory gains ground as AI data centers proliferate

Samsung last month unveiled a SOCAMM2 LPDDR5-based memory module designed specifically for AI data center platforms.
WinBuzzer

Microsoft Adds Managed Memory to Foundry Agent Service, Ending ‘Stateless’ AI Era

Microsoft in November launched a managed memory feature for its Foundry Agent Service, enabling enterprise AI agents to ...
IEEE

Memory allocation method for indirect addressing with an index register

Abstract: Digital signal processors (DSPs) commonly employ indirect addressing mode using an address register (AR). For such DSPs, reduction in overhead codes over memory access is quite important in ...
IEEE

Hybrid Optimization for Computing-in-Memory Architectures: Addressing Device Variation and Stuck-At Faults With Progressive Quantization

Abstract: Computing-in-memory (CIM) has emerged as a promising paradigm to address the von Neumann bottleneck, demonstrating significant advantages in enhancing the energy efficiency of deep neural ...