Analog Planar Memristor Device: Developing, Designing, and Manufacturing

A new technical paper titled "Analog monolayer SWCNTs-based memristive 2D structure for energy-efficient deep learning in spiking neural networks" was published by researchers at Delft University of Technology and Khalifa University. Abstract: "Advances in materials science and memory devices work in tandem for the evolution of Artificial Intelligence systems. Energy-efficient computation... » read more

Research Bits: December 5

Neuromorphic nanowires Researchers from UCLA and University of Sydney built an experimental computing system physically modeled after the biological brain. The device is composed of a tangled-up network of wires containing silver and selenium that were allowed to self-organize into a network of entangled nanowires on top of an array of 16 electrodes. The nanowire network physically reconfigure... » read more

Research Bits: Nov. 28

Switchable photodetector and neuromorphic vision sensor Researchers from the Institute of Metal Research at the Chinese Academy of Sciences built a device that can be switched between being a photodetector and neuromorphic vision sensor by adjusting the operating voltage. The trench-bridged GaN/Ga2O3/GaN heterojunction array device exhibits volatile and non-volatile photocurrents at low and hi... » read more

Research Bits: September 5

Layered TMD semiconductors Scientists from Tsinghua University investigated fabrication techniques for fabricating and engineering transition metal dichalcogenides (TMDs). By modulating TMDs with various methods, including phase engineering, defect engineering, doping, and alloying, the material class could provide a wide range of alternatives for high-quality layered semiconductors with st... » read more

Working With The NimbleAI Project To Push The Boundaries Of Neuromorphic Vision

At the end of 2022, the EU kicked off a cool project that aims to implement neuromorphic vision. But what is that? Let’s take a deeper look at the project and our contribution. First, if you are not familiar with Codasip Labs, I want to mention this briefly. Codasip Labs is in fact our innovation hub where we explore new technologies and try to contribute to the technology of the future. ... » read more

Information flow policies for NVM Technologies

A new technical paper titled "Automated Information Flow Analysis for Integrated Computing-in-Memory Modules" was published by researchers at RWTH Aachen University. Abstract: "Novel non-volatile memory (NVM) technologies offer high-speed and high-density data storage. In addition, they overcome the von Neumann bottleneck by enabling computing-in-memory (CIM). Various computer architectures... » read more

Solving The Reliability Problem Of Memristor-Based Artificial Neural Networks

A technical paper titled "ReMeCo: Reliable Memristor-Based in-Memory Neuromorphic Computation" was published by researchers at Eindhoven University of Technology, University of Tehran, and USC. Abstract: "Memristor-based in-memory neuromorphic computing systems promise a highly efficient implementation of vector-matrix multiplications, commonly used in artificial neural networks (ANNs). H... » read more

Hardware Platform Based on 2D Memtransistors

A new technical paper titled "Hardware implementation of Bayesian network based on two-dimensional memtransistors" from researchers at Penn State University. "In this work, we demonstrate hardware implementation of a BN [Bayesian networks] using a monolithic memtransistor technology based on two-dimensional (2D) semiconductors such as monolayer MoS2. First, we experimentally demonstrate a lo... » read more

State Of The Art And Recent Progress of Reconfigurable Electronic Devices Based on 2D Materials

A new technical paper titled "Emerging reconfigurable electronic devices based on two-dimensional materials: A review" was just published by researchers at TU Dresden, NaMLAb gGmbH, and RWTH Aachen University. Abstract "As the dimensions of the transistor, the key element of silicon technology, are approaching their physical limits, developing semiconductor technology with novel concepts an... » read more

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 of Pittsburgh, University of Notre Dame and Tsinghua University. The paper's abstract states "by co-optimizing across all hierarchies of the design from algorithms and architecture to circuits and devices, we present ... » read more

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