| In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory | 0 | 0.34 | 2022 |
| MNEMOSENE: Tile Architecture and Simulator for Memristor-based Computation-in-memory | 1 | 0.35 | 2022 |
| HERMES-Core—A 1.59-TOPS/mm 2 PCM on 14-nm CMOS In-Memory Compute Core Using 300-ps/LSB Linearized CCO-Based ADCs | 1 | 0.48 | 2022 |
| Energy Efficient In-Memory Hyperdimensional Encoding for Spatio-Temporal Signal Processing | 0 | 0.34 | 2021 |
| HERMES Core – A 14nm CMOS and PCM-based In-Memory Compute Core using an array of 300ps/LSB Linearized CCO-based ADCs and local digital processing | 0 | 0.34 | 2021 |
| A Multi-Memristive Unit-Cell Array With Diagonal Interconnects for In-Memory Computing | 0 | 0.34 | 2021 |
| In-Memory Database Query | 2 | 0.37 | 2020 |
| Temperature Compensation Schemes for In-Memory Computing using Phase-Change Memory | 0 | 0.34 | 2020 |
| Phase-change memory enables energy-efficient brain-inspired computing | 0 | 0.34 | 2019 |
| Computational memory-based inference and training of deep neural networks | 0 | 0.34 | 2019 |
| Accurate deep neural network inference using computational phase-change memory. | 0 | 0.34 | 2019 |
| Deep learning acceleration based on in-memory computing. | 0 | 0.34 | 2019 |
| Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses. | 0 | 0.34 | 2019 |
| In-memory hyperdimensional computing. | 9 | 0.51 | 2019 |
| Applications of Computation-In-Memory Architectures based on Memristive Devices | 3 | 0.40 | 2019 |
| In-memory computing on a photonic platform. | 2 | 0.36 | 2018 |
| Impact of conductance drift on multi-PCM synaptic architectures | 0 | 0.34 | 2018 |
| In-Memory Computing: Towards Energy-Efficient Artificial Intelligence. | 0 | 0.34 | 2018 |
| Temporal Correlation Detection Using Computational Phase-Change Memory | 14 | 0.94 | 2017 |
| An efficient synaptic architecture for artificial neural networks | 0 | 0.34 | 2017 |
| Neuromorphic Computing With Multi-Memristive Synapses | 9 | 0.82 | 2017 |
| Mixed-precision training of deep neural networks using computational memory. | 0 | 0.34 | 2017 |
| A collective relaxation model for resistance drift in phase change memory cells | 6 | 0.76 | 2015 |
