Danny Lipovitch | Director of Technical Marketing
Weebit Nano
Daniel Lipovitch is Director of Technical Marketing at Weebit Nano, covering NVM in AI applications including NMC, IMC and neuromorphic computing. Lipovitch has nearly 25 years of semiconductor industry experience spanning engineering, product development, and technical marketing. Prior to joining Weebit, he spent 17 years at Intel in senior engineering and technical leadership roles focused on product development, post-silicon validation, and yield enhancement across power, thermal, and analog domains. Earlier in his career, he held engineering and program management roles at Tower Semiconductor. Lipovitch holds a B.Sc. in Electrical Engineering from Technion – Israel Institute of Technology.
Appearances:
Future of Memory and Storage - Day 3 @ 14:25
In-Memory Computing at Scale: Trends, Challenges, and the ReRAM Advantage
IMC paradigms use memory elements as compute resources, allowing operations such as matrix-vector multiplication to execute directly within the memory array. By eliminating repeated data transfers between the memory and CPU, IMC architectures dramatically reduce latency and energy consumption. As AI models proliferate into edge, industrial, automotive, and secure embedded systems, the demand for compact, non-volatile, and scalable memory technologies becomes critical.Emerging non-volatile memories, particularly Resistive RAM (ReRAM), offer a structurally and physically well-suited platform for analog and mixed-signal in-memory computation. ReRAM’s two-terminal cell structure, scalability below advanced nodes where embedded flash isn’t viable, and compatibility with BEOL integration can enable dense arrays capable of highly parallel computation. This talk will examine market and architectural 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.
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