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Tag: ReRAM

2024 Outlook with Srinivasa Kakumanu of MosChip – Semiwiki

MosChip is a publicly traded company founded in the year 1999, they offer semiconductor design services, turnkey ASIC, software services, and end-to-end product engineering...

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An in-memory computing architecture based on a duplex two-dimensional material structure for in situ machine learning

Hutson, M. Has artificial intelligence become alchemy? Science 360, 478–478 (2018).Article  CAS  Google Scholar  Christensen, D. V. et al. 2022 roadmap on neuromorphic...

Weebit Nano tapes-out 22nm demo chip

Weebit Nano Limited, a developer of memory technologies for the global semiconductor industry, has taped-out (released to manufacturing) demonstration chips integrating its embedded Resistive...

How an Embedded Non-Volatile Memory Can Be a Differentiator

Embedded memory makes computing applications run faster. In the early days of the semiconductor industry, the desire to utilize large amount of on-chip memory...

Weebit Nano receives from SkyWater the silicon wafers manufactured with ReRAM

Weebit Nano Limited, a developer of memory technologies for the global semiconductor industry, and SkyWater Technology, the trusted technology realisation partner, announce the silicon wafers...

Efficient Neuromorphic AI Chip: “NeuroRRAM”

New technical paper titled “A compute-in-memory chip based on resistive random-access memory” was published by a team of international researchers at Stanford, UCSD, University...

MEMprop: Gradient-based Learning To Train Fully Memristive SNNs

New technical paper titled “Gradient-based Neuromorphic Learning on Dynamical RRAM Arrays” from IEEE researchers. Abstract “We present MEMprop, the adoption of gradient-based learning to train fully...

Using Dynamic Route Map Technique for Insight Into Memristors

New technical paper titled “Empirical Characterization of ReRAM Devices Using Memory Maps and a Dynamic Route Map,” from Balearic Islands University, UC Berkeley, Health...

Key Recovery for Content Protection Using Ternary PUFs Designed with Pre-Formed ReRAM

Researchers from Northern Arizona University examine how ReRAM based solutions perform against SRAM PUF-based schemes in terms of BERs and tamper resistance. Funded by U.S. Air Force Research Laboratory (AFRL).

The post Key Recovery for Content Protection Using Ternary PUFs Designed with Pre-Formed ReRAM appeared first on Semiconductor Engineering.

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