In-Memory Compute Chips with Carbon-based Projected Phase-Change Memory Devices
- G.S. Syed
- K. Brew
- et al.
- 2023
- IEDM 2023
Publications
256 results for AI Hardware
Synapses, Circuits, and Architectures for Analog In-Memory Computing-Based Deep Neural Network Inference Hardware Acceleration
- 2023
- IEDM 2023
Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference
- 2023
- APL Mach. Learn.
Ferroelectric Hafnia Superlattices for Bio-Inspired Computing
- Laura Bégon-Lours
- Elisabetta Morabito
- et al.
- 2023
- MRS Fall Meeting 2023
Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks
- 2023
- MRS Fall Meeting 2023
Impact of Phase-Change Memory Nonidealities on Analog In-Memory Computing Deep Learning Accuracy
- Ning Li
- 2023
- MRS Fall Meeting 2023
A Novel Electrical Bias Technique to Recover Degraded ReRAM Arrays for Deep Learning
- Fabia Farlin Athena
- Nanbo Gong
- et al.
- 2023
- MRS Fall Meeting 2023
Filament-induced crystallization of TiN/HfOx/TiN film in neuromorphic devices
- Alex Foucher
- Baoming Wang
- et al.
- 2023
- MRS Fall Meeting 2023
My path to AVS Fellow: Non-volatile Memory processing from fundamental understanding to the promise of atomic layer etching and sustainable etch precursors
- 2023
- AVS 2023
Analog Conductive Metal Oxide-HfO2 ReRAM artificial synapses for neuromorphic computing: physical modelling and stack optimization
- Donato Francesco Falcone
- Stephan Menzel
- et al.
- 2023
- MEMRISYS 2023