4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.ET2026★ 4 cited
Update Disturbance-Resilient Analog ReRAM Crossbar Arrays for In-Memory Deep Learning Accelerators
Wooseok Choi, Tommaso Stecconi, Donato Francesco Falcone +14
Resistive memory (ReRAM) technologies with crossbar array architectures hold significant potential for analog AI accelerator hardware, enabling both in-memory inference and trainin…
cs.ET2026
Analog Weight Update Rule in Ferroelectric Hafnia, using pico-Joule Programming Pulses
Alexandre Baigol, Nikhil Garg, Matteo Mazza +5
In an effort to compete with the brain's efficiency at processing information, neuromorphic hardware combines artificial synapses and neurons using mixed-signal circuits and emergi…