tag: memristors

Research Bits: Oct. 13
By Jesse Allen - 13 Oct, 2025 - Comments: 0

Mimicking neural plasticity Researchers from Korea Advanced Institute of Science and Technology (KAIST) developed a frequency switching neuristor device that mimics the intrinsic plasticity of neurons. The device can autonomously adjust the frequency of its signals, similar to the way the brain becomes less startled by repeated stimuli or becomes increasingly sensitive through training. The... » read more

Research Bits: Sept. 30
By Jesse Allen - 30 Sep, 2025 - Comments: 0

Hybrid memory for edge training and inference Researchers from CEA-Leti, Université Grenoble Alpes, CEA-List, the French National Centre for Scientific Research (CNRS), the University of Bordeaux, Bordeaux INP, IMS France, Université Paris-Saclay, and the Center for Nanosciences and Nanotechnologies developed a hybrid memory system that combines the traits of ferroelectric capacitors (FeCAP)... » read more

Research Bits: Sept. 23
By Jesse Allen - 23 Sep, 2025 - Comments: 0

Opto-electrical excitation of MTJs Researchers at the University of Greifswald, International Iberian Nanotechnology Laboratory, Max Planck Institute for the Science of Light, and Aarhus University advanced the use of magnetic tunnel junctions (MTJs) for neuromorphic computing. The team developed a hybrid opto-electrical excitation scheme that combines electrical currents with short laser p... » read more

Research Bits: July 29
By Jesse Allen - 29 Jul, 2025 - Comments: 0

Sort-in-memory Researchers from Peking University and the Chinese Institute for Brain Research developed a sort-in-memory hardware system based on memristors that is tailored for complex, nonlinear sorting tasks. The comparator-free processing-in-memory architecture is built on a one-transistor–one-resistor (1T1R) memristor array, using a Digit Read mechanism that replaces traditional com... » read more

Fault-Free Matrix for Analog Hardware (The Univ. of Hong Kong, Univ. of Oxford, Hewlett Packard Labs)
By Technical Paper Link - 22 Jul, 2025 - Comments: 0

A new technical paper titled "Fault-Free Analog Computing with Imperfect Hardware" was published by researchers at The University of Hong Kong, University of Oxford, and Hewlett Packard Labs. Abstract "The surging demand for computational power, particularly for edge computing and AI, drives research into alternative paradigms like analog in-memory computing using memristors. These approach... » read more

Research Bits: Mar. 25
By Jesse Allen - 25 Mar, 2025 - Comments: 0

2D materials in 3D transistors Researchers at the University of California Santa Barbara investigated 3D gate-all-around (GAA) transistors made using 2D semiconductors. They considered three different approaches to channel stacking: nano-sheet FETs, nano-fork FETs, and nano-plate FETs. The nano-plate FET architecture, which exploits lateral stacking of 2D layers, was found to maximize the g... » read more

Energy-Efficient Scalable Silicon Photonic Platform For AI Accelerator HW
By Technical Paper Link - 12 Mar, 2025 - Comments: 0

A new technical paper titled "Large-Scale Integrated Photonic Device Platform for Energy-Efficient AI/ML Accelerators" was published by researchers at HP Labs, IIT Madras, Microsoft Research and University of Michigan. Abstract "The convergence of deep learning and Big Data has spurred significant interest in developing novel hardware that can run large artificial intelligence (AI) workload... » read more

Research Bits: Jan. 28
By Jesse Allen - 28 Jan, 2025 - Comments: 0

Optical memory unit Researchers from Nokia Bell Labs developed a new type of optical memory called a programmable photonic latch that enables temporary data storage in optical processing systems. It is modeled after a set-reset latch. The integrated programmable photonic latch is based on optical universal logic gates using silicon photonic micro-ring modulators and can be implemented in co... » read more

Research Bits: Jan. 20
By Jesse Allen - 20 Jan, 2025 - Comments: 0

Self-correcting memristor array Researchers at Korea Advanced Institute of Science and Technology (KAIST), Seoul National University, Sungkyunkwan University, Electronics and Telecommunications Research Institute (ETRI), and Yonsei University developed a memristor-based neuromorphic chip that can learn and correct errors, enabling it to adapt to immediate environmental changes. The system c... » read more

Research Bits: Dec. 24
By Jesse Allen - 24 Dec, 2024 - Comments: 0

Growing multilayered chips Researchers from MIT, Samsung Advanced Institute of Technology, Sungkyunkwan University, and University of Texas at Dallas developed a method to fabricate a multilayered chip with alternating layers of semiconducting material grown directly on top of each other. The approach enables high-performance transistors and memory and logic elements on any random crystalline ... » read more

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