tag: memristors

Review of Methods to Design Secure Memristor Computing Systems
By Technical Paper Link - 27 Feb, 2023 - Comments: 0

A technical paper titled "Review of security techniques for memristor computing systems" was published by researchers at Israel Institute of Technology, Friedrich Schiller University Jena (Germany), and Leibniz Institute of Photonic Technology (IPHT). Abstract "Neural network (NN) algorithms have become the dominant tool in visual object recognition, natural language processing, and robotic... » read more

Approximate Adders Suitable For In-Memory Computing Using a Memristor Crossbar Array
By Technical Paper Link - 17 Nov, 2022 - Comments: 0

A new technical paper titled "IMAGIN: Library of IMPLY and MAGIC NOR Based Approximate Adders for In-Memory Computing" was published by researchers at DFKI (German Research Center for Artificial Intelligence) and Indian Institute of Information Technology Guwahati. "We developed a framework to generate approximate adder designs with varying output errors for 8, 12, and 16-bit adders. We imp... » read more

Adaptive Memristive Hardware
By Technical Paper Link - 02 Oct, 2022 - Comments: 0

A new technical paper titled "Self-organization of an inhomogeneous memristive hardware for sequence learning" was just published by researchers at University of Zurich, ETH Zurich, Université Grenoble Alpes, CEA, Leti and Toshiba. "We design and experimentally demonstrate an adaptive hardware architecture Memristive Self-organizing Spiking Recurrent Neural Network (MEMSORN). MEMSORN incorp... » read more

Research Bits: Sept. 20
By Jesse Allen - 20 Sep, 2022 - Comments: 0

Multi-mode memristors Researchers from ETH Zurich, the University of Zurich, and Empa built a new memristor that can operate in multiple modes and could potentially be used to mimic neurons in more applications. “There are different operation modes for memristors, and it is advantageous to be able to use all these modes depending on an artificial neural network’s architecture,” said R... » read more

3 Emerging Technologies: Memristors, Spintronics & 2D Materials
By Technical Paper Link - 06 Jul, 2022 - Comments: 0

New technical paper titled "Memristive, Spintronic, and 2D-Materials-Based Devices to Improve and Complement Computing Hardware" from researchers at University College London and University of Cambridge. Abstract "In a data-driven economy, virtually all industries benefit from advances in information technology—powerful computing systems are critically important for rapid technological pr... » read more

Differentiable Analog Nonvolatile CAM (dCAM) Using Memristors
By Technical Paper Link - 03 Jun, 2022 - Comments: 0

Technical paper titled "Differentiable Content Addressable Memory with Memristors" from researchers at Hewlett Packard Labs and University of Hong Kong. Abstract "Memristors, Flash, and related nonvolatile analog device technologies offer in-memory computing structures operating in the analog domain, such as accelerating linear matrix operations in array structures. These take advantage of ... » read more

Neurosynaptic Device That Mimics Synaptic and Intrinsic Plasticity Concomitantly In a Single cell
By Technical Paper Link - 20 May, 2022 - Comments: 0

New academic paper titled "Simultaneous emulation of synaptic and intrinsic plasticity using a memristive synapse" from researchers at Korea Advanced Institute of Science and Technology (KAIST). Abstract Neuromorphic computing targets the hardware embodiment of neural network, and device implementation of individual neuron and synapse has attracted considerable attention. The emulation of... » read more

The development of integrated circuits based on two-dimensional materials
By Technical Paper Link - 23 Nov, 2021 - Comments: 0

Abstract Two-dimensional (2D) materials could potentially be used to develop advanced monolithic integrated circuits. However, despite impressive demonstrations of single devices and simple circuits—in some cases with performance superior to those of silicon-based circuits—reports on the fabrication of integrated circuits using 2D materials are limited and the creation of large-scale circu... » read more

Power/Performance Bits: Jan. 26
By Jesse Allen - 26 Jan, 2021 - Comments: 0

Neural networks on MCUs Researchers at MIT are working to bring neural networks to Internet of Things devices. The team's MCUNet is a system that designs compact neural networks for deep learning on microcontrollers with limited memory and processing power. MCUNet is made up of two components. One is TinyEngine, an inference engine that directs resource management. TinyEngine is optimized t... » read more

Power/Performance Bits: Dec. 7
By Jesse Allen - 07 Dec, 2020 - Comments: 0

Logic-in-memory with MoS2 Engineers at École Polytechnique Fédérale de Lausanne (EPFL) built a logic-in-memory device using molybdenum disulfide (MoS2) as the channel material. MoS2 is a three-atom-thick 2D material and excellent semiconductor. The new chip is based on floating-gate field-effect transistors (FGFETs) that can hold electric charges for long periods. MoS2 is particularly se... » read more

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