tag: neuromorphic computing

Research Bits: Nov. 4
By Jesse Allen - 04 Nov, 2025 - Comments: 0

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. 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. 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

Implications of Scalable Neuromorphic Computing (Sandia National Laboratories)
By Technical Paper Link - 30 Jul, 2025 - Comments: 0

A new technical paper titled "Neuromorphic Computing: A Theoretical Framework for Time, Space, and Energy Scaling" was published by researchers at Sandia National Laboratories. Abstract "Neuromorphic computing (NMC) is increasingly viewed as a low-power alternative to conventional von Neumann architectures such as central processing units (CPUs) and graphics processing units (GPUs), however... » read more

Roadmap for AI HW Development, With The Role of Photonic Chips In Supporting Future LLMs (CUHK, NUS, UIUC, Berkeley)
By Technical Paper Link - 01 Jun, 2025 - Comments: 0

A new technical paper titled "What Is Next for LLMs? Next-Generation AI Computing Hardware Using Photonic Chips" was published by researchers at The Chinese University of Hong Kong, National University of Singapore, University of Illinois Urbana-Champaign and UC Berkeley. Abstract "Large language models (LLMs) are rapidly pushing the limits of contemporary computing hardware. For example, t... » read more

Main Applications And Corresponding Requirements For IMC With RRAM Devices
By Technical Paper Link - 06 May, 2025 - Comments: 0

A new technical paper titled "Resistive Switching Random-Access Memory (RRAM): Applications and Requirements for Memory and Computing" was published by researchers at Politecnico di Milano, IUNET and Hewlett-Packard Labs. Abstract "In the information age, novel hardware solutions are urgently needed to efficiently store and process increasing amounts of data. In this scenario, memory device... » read more

Hardware Trojan Attack For SNNs (Sorbonne Université, CNRS)
By Technical Paper Link - 03 May, 2025 - Comments: 0

A new technical paper titled "Input-Triggered Hardware Trojan Attack on Spiking Neural Networks" was published by researchers at Sorbonne Universite, CNRS and Queen’s University Belfast. Abstract "Neuromorphic computing based on spiking neural networks (SNNs) is emerging as a promising alternative to traditional artificial neural networks (ANNs), offering unique advantages in terms of low... » read more

Single Transistor Memory Cell C2RAM Based On FDSOI For Quantum And Neuromorphic
By Technical Paper Link - 15 Apr, 2025 - Comments: 0

A new technical paper titled "An Energy Efficient Memory Cell for Quantum and Neuromorphic Computing at Low Temperatures" was published by researchers at Forschungszentrum Jülich, RWTH Aachen University and SOITEC. Abstract: "Efficient computing in cryogenic environments, including classical von Neumann, quantum, and neuromorphic systems, is poised to transform big data processing. The que... » read more

Research Bits: Apr. 1
By Jesse Allen - 01 Apr, 2025 - Comments: 0

Neuro-synaptic RAM Researchers from the National University of Singapore (NUS) and King Abdullah University of Science and Technology (KAUST) found that a standard silicon transistor can function like a biological neuron and synapse when arranged and operated in a specific way. The team was able to replicate both neural firing and synaptic weight changes by adjusting the resistance of the b... » read more

Scalable And Energy Efficient Solution for Hardware-Based ANNs (KAUST, NUS)
By Technical Paper Link - 30 Mar, 2025 - Comments: 0

A new technical paper titled "Synaptic and neural behaviours in a standard silicon transistor" was published by researchers at KAUST and National University of Singapore. Abstract "Hardware implementations of artificial neural networks (ANNs)—the most advanced of which are made of millions of electronic neurons interconnected by hundreds of millions of electronic synapses—have achieved ... » read more

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