TCNCA: Temporal Convolution Network with Chunked Attention for Scalable Sequence ProcessingAleksandar TerzicMichael Herscheet al.2023NeurIPS 2023
In-Memory Compute Chips with Carbon-based Projected Phase-Change Memory DevicesG.S. SyedK. Brewet al.2023IEDM 2023
Programming Weights to Analog In-Memory Computing Cores by Direct Minimization of the Matrix-Vector Multiplication ErrorJulian BuchelAthanasios Vasilopouloset al.2023IEEE JESTCS
Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and InferenceManuel Le GalloCorey Liam Lammieet al.2023APL Mach. Learn.
Exploiting Phase-Change-Material Physics for Unconventional Computing: VO2-based Oscillators and Phase-Change-Memories for Neuronal & Synaptic functionsValeria BragagliaOlivier Maheret al.2023E\PCOS 2023
The role of material science in neuromorphic computingValeria BragagliaTommaso Stecconiet al.2023CMD 2023
Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based acceleratorsMalte J. RaschCharles Mackinet al.2023Nature Communications
A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inferenceManuel Le GalloRiduan Khaddam-Aljamehet al.2023Nature Electronics
Decoding Superpositions of Bound Symbols Represented by Distributed RepresentationsMichael HerscheZuzanna Opalaet al.2023NeSy 2023