Attention-driven PCM-based In-Memory Computing for Smart Vision Systems
This work is funded by BMBF via DAAD project 57616814 (SECAI, School of Embedded Composite AI), and by MCIN/AEI via project SEMIoTICS (PID2021-128009OB-C31), and also by DFG through project Mem2CNN (#441957207) of SPP MemrisTec (#2262). Additional funding is provided by the Ministry for Digital Transformation through grant USECHIP (TSI-069100-2023-001) of PERTE Chip, funded by the Next Generation-EU.
Authors
- Adnan Haidar, Amir Khan, Vasileios Ntinas, Jorge Fernández-Berni, Ricardo Carmona-Galán, Ronald Tetzlaff
Publication Details
- Journal
- DIGITAL.CSIC (Spanish National Research Council (CSIC))
- Published
- 2025-05-01
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00