Memory Devices-Based Bayesian Neural Networks For Edge AI


A new technical paper titled "Bringing uncertainty quantification to the extreme-edge with memristor-based Bayesian neural networks" was published by researchers at Université Grenoble Alpes, CEA, LETI, and CNRS. Abstract: "Safety-critical sensory applications, like medical diagnosis, demand accurate decisions from limited, noisy data. Bayesian neural networks excel at such tasks, offering... » read more

FeFET Memory Encrypted Inside The Storage Array


A new technical paper titled "Embedding security into ferroelectric FET array via in situ memory operation" was published by researchers at Pennsylvania State University, University of Notre Dame, Fraunhofer IPMS, National University of Singapore, and North Dakota State University. Abstract "Non-volatile memories (NVMs) have the potential to reshape next-generation memory systems because of... » read more

Enabling Scalable Accelerator Design On Distributed HBM-FPGAs (UCLA)


A technical paper titled “TAPA-CS: Enabling Scalable Accelerator Design on Distributed HBM-FPGAs” was published by researchers at University of California Los Angeles. Abstract: "Despite the increasing adoption of Field-Programmable Gate Arrays (FPGAs) in compute clouds, there remains a significant gap in programming tools and abstractions which can leverage network-connected, cloud-scale... » read more

Alleviating the DRAM Capacity Bottleneck in Consumer Devices with NVMs


A new technical paper titled "Extending Memory Capacity in Modern Consumer Systems With Emerging Non-Volatile Memory: Experimental Analysis and Characterization Using the Intel Optane SSD" was published by researchers at ETH Zurich, University of Illinois Urbana-Champaign, Google, and Rivos. Abstract Excerpt "DRAM scalability is becoming a limiting factor to the available memory capacity in... » read more

Neuromorphic Devices Based On Memristive Nanowire Networks


A technical paper titled “Online dynamical learning and sequence memory with neuromorphic nanowire networks” was published by researchers at University of Sydney, University of California Los Angeles (UCLA), National Institute for Materials Science (NIMS), Kyushu Institute of Technology (Kyutech), and University of Sydney Nano Institute. Abstract: "Nanowire Networks (NWNs) belong to an em... » read more

Analog In-Memory Cores With Multi-Memristive Unit-Cells (IBM)


A technical paper titled “Exploiting the State Dependency of Conductance Variations in Memristive Devices for Accurate In-Memory Computing” was published by researchers at IBM Research-Europe, IBM Research-Albany, and IBM Research-Yorktown Heights. Abstract: "Analog in-memory computing (AIMC) using memristive devices is considered a promising Non-von Neumann approach for deep learning (DL... » read more

Using Atomic Vacancies In Silicon Carbide To Measure The Stability And Quality Of Acoustic Resonators


A technical paper titled “Spin-acoustic control of silicon vacancies in 4H silicon carbide” was published by researchers at Harvard University and Purdue University. Abstract: "Bulk acoustic resonators can be fabricated on the same substrate as other components and can operate at various frequencies with high quality factors. Mechanical dynamic metrology of these devices is challenging as... » read more

Stacked Ferroelectric Memory Array Comprised Of Laterally Gated Ferroelectric Field-Effect Transistors


A technical paper titled “Laterally gated ferroelectric field effect transistor (LG-FeFET) using α-In2Se3  for stacked in-memory computing array” was published by researchers at Samsung Electronics and Sungkyunkwan University. Abstract: "In-memory computing is an attractive alternative for handling data-intensive tasks as it employs parallel processing without the need for data transfe... » read more

A Novel Approach To Mitigating RowHammer Attacks And Improving Server Memory System Reliability


A technical paper titled “RAMPART: RowHammer Mitigation and Repair for Server Memory Systems” was published by researchers at Rambus. Abstract: "RowHammer attacks are a growing security and reliability concern for DRAMs and computer systems as they can induce many bit errors that overwhelm error detection and correction capabilities. System-level solutions are needed as process technology... » read more

CMOS-Based HW Topology For Single-Cycle In-Memory XOR/XNOR Operations


A technical paper titled “CMOS-based Single-Cycle In-Memory XOR/XNOR” was published by researchers at University of Tennessee, University of Virginia, and Oak Ridge National Laboratory (ORNL). Abstract: "Big data applications are on the rise, and so is the number of data centers. The ever-increasing massive data pool needs to be periodically backed up in a secure environment. Moreover, a ... » read more

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