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 ...
Abstract: We propose Darwin, a practical LRDIMM-based multi-level Processing-in-memory (PIM) architecture for data analytics, which exploits the internal bandwidth of DRAM using the bank-, bank group- ...
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 ...
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 ...
Copyright 2025 The Associated Press. All Rights Reserved. Copyright 2025 The Associated Press. All Rights Reserved. A Bay Area Rapid Transit train approaches a BART ...
Abstract: To build Neural Networks (NNs) on edge devices, Binarized Neural Network (BNN) has been proposed on the software side, while Computing-in-Memory (CiM) architecture has been proposed on 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 ...
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