Resources
Exploring how ReRAM complements FD-SOI to enable energy-efficient, highly integrated SoCs
Examining trends driving IMC adoption, the technical requirements for commercially viable solutions, and why ReRAM presents a practical path from research prototypes to production-ready AI systems (FMS 2026)
How post-qualification ReRAM programs are enabling integration into advanced logic and BCD platforms and supporting new MCU, analog, and edge AI designs where embedded flash no longer scales (FMS 2026)
An overview of ReRAM’s evolution toward commercialization, key technology advances, and expanding potential in embedded memory, edge AI and in-memory computing (IMC) (MPSoC 2025)
Exploring the various embedded NVM technologies that are emerging as embedded flash reaches its limits (ICCAD 2025)
Exploring how evolving AI workloads are driving new requirements for embedded memory technologies (CEA-Leti LID World Summit 2026)
Presenting the first complete integration of a Spiking Neural Network combining analog neurons and SiOx-based ReRAM synapses (2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems)
Demonstrating how a ReRAM-based platform can support on-chip customized learning in real-time at the edge (Weebit, CEA-Leti and Université Paris-Saclay; 2025 IEEE Symposium on VLSI Technology and Circuits)
Various design assist techniques used in development of the Weebit ReRAM module for performance parameter optimization (IEEE Journal of Solid State Circuits)
Proposing an optimized programming strategy to mitigate the impact of write termination (WT) on relaxation effects in ReRAM, particularly relevant for neuromorphic and in-memory computing applications (IMW 2025)
An analysis of the memristor industry, focusing on products that are commercially available and prototypes that might affect the market in the near future (Nature, April 2025)
How ReRAM’s physical properties can be controlled and how the device can be operated to align with AI and in-memory computing (IMC) requirements (IEEE SOCC 2024)