An Overview of Computing-in-Memory Circuits With DRAM and NVM
Computing-in-memory (CIM) has emerged as an energy-efficient hardware solution for machine learning and AI. While static random access memory (SRAM)-based CIM has been prevalent, growing attention is directed towards leveraging dynamic random access ...
Kim, Sangjin, Yoo, Hoi-Jun
core +1 more source
Dual-directional CIM-based non-volatile SRAM for instant-on/off energy-constrained edge AI devices. [PDF]
Hemmasi SP +3 more
europepmc +1 more source
Improved Security for Non-Volatile Main Memory
A technique that improves security for non-volatile main memory in computer systems is disclosed. Some prior approaches that secure data between OS processes in such systems reduce the number of NVM write cycles by using encryption instead of shredding
Haber, Stuart, Manadhata, Pratyusa K
core
Large-scale crossbar arrays based on three-terminal MoS<sub>2</sub> memtransistors. [PDF]
Schranghamer TF +11 more
europepmc +1 more source
Back-end-of-line-compatible low-voltage operation in Hf<sub>0.5</sub> Zr<sub>0.5</sub>O<sub>2</sub> ferroelectric film enabled by <i>in-situ</i> lanthanum doping. [PDF]
Liu Y +7 more
europepmc +1 more source
Impact of ferroelectric polarization dynamics on thermal reliability in Ferro-FinFETs. [PDF]
Ma W +8 more
europepmc +1 more source
A facile photonics reconfigurable memristor with dynamically allocated neurons and synapses functions. [PDF]
Zhou Z +12 more
europepmc +1 more source
Blockchain, Artificial Intelligence, and Cyber Defense on Sensor Networks. [PDF]
Watanabe H.
europepmc +1 more source
A scalable reinforcement learning framework inspired by hippocampal memory mechanisms for efficient contextual and sequential decision making. [PDF]
Poursiami H +10 more
europepmc +1 more source
This paper presents a circuit for spike-timing dependent plasticity (STDP) learning of a non-volatile memory (NVM) based spiking neural network (SNN). Unlike conventional hardware for implementation of STDP learning, the proposed circuit does not require
Gi, Sang-Gyun +2 more
core

