Resources
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)
Discussing Weebit ReRAM endurance performance and what it means for embedded memory applications
A simple overview of how customers integrate Weebit ReRAM into their SoCs through standard semiconductor design flows
How ReRAM can help reduce data movement and power consumption in datacenter workloads, helping solve a major issue in AI systems
Why customers are evaluating and adopting Weebit ReRAM as a next-generation embedded NVM for advanced semiconductor designs
How ReRAM can support new AI architectures, including in-memory compute and neuromorphic computing, by bringing memory closer to processing
Exploring the NVM options for Edge AI and why ReRAM is well suited to low-power, data-intensive embedded applications
A short discussion on how memory architecture affects power consumption, and why low-power NVM matters for future SoCs
Explaining how Weebit ReRAM scales across process nodes and why this matters for advanced embedded designs
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)