The patent describes the development of high-bandwidth dual inline memory modules (HB-DIMMs) that use pseudo channels and specialized data routing to boost performance. Rather than re-engineering ...

The hybrid memory system combines the best traits of ferroelectric capacitors and memristors in a single memory stack.

A visualization of an atom-thin crystal sandwiched between electrodes. Credit: Auburn University. Everyday technology—smartphones, artificial intelligence data centers, wearable health ...

Picture the smartphone in your pocket, the data centers powering artificial intelligence, or the wearable health monitors that track your heartbeat. All of them rely on energy-hungry memory chips to ...

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 ...

Summary: Rare adult-born neurons in the hippocampus are reactivated during REM sleep, locking waking experiences into long-term memory. Using genetically modified mice, they found that these neurons ...

The constant scaling of AI applications and other digital technologies across industries is beginning to tax the energy grid due to its intensive energy consumption. Digital computing's energy and ...

Abstract: Graph data have extensive applications in various domains, including social networks, biological reaction networks, and molecular structures. Graph classification aims to predict the ...

I first heard the magpie rhyme as a child one summer, when we were jumping rope, swimming, and playing: “One for sorrow, two for joy…” It felt half-whisper and half-witchy, like a spell stitched into ...

The Transformer architecture, while powerful, scales quadratically with sequence length (O(N²)), creating a bottleneck for long-context tasks. We propose the Gated Associative Memory (GAM) network, a ...

Associative memory is the ability to reveal similarities between unrelated items. Models of associative memory typically rely on significant assumptions about information encoding procedure, structure ...

Introduction: In the past several years, increasing interest has been in working memory training as a cognitive intervention to improve students’ academic performance. Despite the considerable ...