Research Bits: Apr. 14


Authentication for edge devices Researchers from the University of Hong Kong, Tsinghua University, and the Southern University of Science and Technology designed a privacy-preserving system for edge devices that combines physically unclonable functions and compute-in-memory. The Co-Located Authentication and Processing (CLAP) system integrates authentication and processing functions within ... » read more

Research Bits: Apr. 6


Reservoir computing Researchers from Loughborough University designed a memristor reservoir computing chip that can process data that changes over time directly in hardware. “Inspired by the way the human brain forms very numerous and seemingly random neuronal connections between all its neurons, we created complex, random, physical connections in an artificial neural network by designing... » read more

Nanoscale MoS₂-based Memristors Integrated into CMOS Microchips


A new technical paper, "Integration of Low-Voltage Nanoscale MoS2 Memristors on CMOS Microchips" was published by RWTH Aachen and Forschungszentrum Jülich GmbH. Abstract "2D materials (2DMs) are gaining increased attention for applications such as advanced electronics and neuromorphic computing due to their excellent electrical properties. Among these 2DMs, molybdenum disulfide (MoS2) ha... » read more

Research Bits: Jan. 6


Ultrathin ferroelectric capacitors Researchers from the Institute of Science Tokyo and Canon ANELVA Corporation built an ultrathin ferroelectric memory capacitor stack using scandium-substituted aluminum nitride ((Al,Sc)N) thin films with platinum electrodes. The total thickness is just 30nm: a 20nm ferroelectric layer sandwiched between 5nm platinum top and bottom electrodes. “Previous r... » read more

MoS2 Memristors With Fast Switching Speed and Low Power Consumption (AMO, RWTH Aachen et al.)


A new technical paper titled "Intermediate Resistive State in Wafer-Scale Vertical MoS2 Memristors Through Lateral Silver Filament Growth for Artificial Synapse Applications" was published by researchers at AMO GmbH, RWTH Aachen, Forschungszentrum Jülich, Peter Grünberg Institute, Eindhoven University of Technology et al. Abstract "Memristors based on 2D materials have garnered signifi... » read more

A Scalable and Cost-Effective Approach to Fabricate Memristors for ReRAMs and Neuromorphic Computing (U. of Pisa, U. of Pavia et al.)


A new technical paper titled "Fast prototyping of memristors for ReRAMs and neuromorphic computing" was published by researchers at Università di Pisa, Università di Pavia, Quantavis s.r.l., and the Instituto de Ciencia de Materiales de Madrid. Abstract "The growing demand for energy-efficient computing in artificial intelligence requires novel memory technologies capable of storing and... » read more

Digital Memristor-Based PIM From A Device And Reliability View (Northwestern, Technion)


A new technical paper titled "A Comparative Study of Digital Memristor-Based Processing-In-Memory from a Device and Reliability Perspective" was published by researchers at Northwestern University and  Technion – Israel Institute of Technology. Abstract "As data-intensive applications increasingly strain conventional computing systems, processing-in-memory (PIM) has emerged as a promis... » read more

Research Bits: Nov. 4


Diffusive memristor for artificial neurons Researchers from the University of Southern California, University of Massachusetts, University of California Los Angeles, Syracuse University, and the Air Force Research Laboratory developed artificial neurons that replicate the complex electrochemical behavior of biological brain cells. “Our existing computing systems were never intended to pro... » read more

Research Bits: Oct. 28


Mushroom memristors Researchers from The Ohio State University found that common edible mushrooms can be grown and trained to act as organic memristors. The team cultured samples of shiitake and button mushrooms, dehydrated them once mature to ensure long-term viability, connected them to special electronic circuits, and then electrocuted them at various voltages and frequencies. “Myce... » read more

Why In-Memory Computation Is So Important For Edge AI


In popular media, “AI” usually means large language models running in expensive, power-hungry data centers. For many applications, though, smaller models running on local hardware are a much better fit. Autonomous vehicles need to respond in real-time, without data transmission delays. Medical and industrial applications often depend on sensitive data that cannot be shared with third par... » read more

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