tag: spiking neural networks

ReRAM-based Neo-Hebbian Synapses For Training Neuromorphic HW (IIT Madras, UCSB)
By Technical Paper Link - 23 Feb, 2026 - Comments: 0

A new technical paper, "NeoHebbian synapses to accelerate online training of neuromorphic hardware," was published by researchers at IIT Madras and UC Santa Barbara. Abstract "Neuromorphic systems that employ advanced synaptic learning rules, such as the three-factor learning rule, require synaptic devices of increased complexity. Herein, a novel neoHebbian artificial synapse utilizing ReRA... » read more

Hypergraph-based Techniques To Map Spiking Neural Networks on Neuromorphic HW (Politecnico di Milano)
By Technical Paper Link - 25 Jan, 2026 - Comments: 0

A new technical paper titled "A Case for Hypergraphs to Model and Map SNNs on Neuromorphic Hardware" was published by researchers at Politecnico di Milano. Abstract "Executing Spiking Neural Networks (SNNs) on neuromorphic hardware poses the problem of mapping neurons to cores. SNNs operate by propagating spikes between neurons that form a graph through synapses. Neuromorphic hardware mimic... » read more

SpiNNaker2 Neuromorphic Platform: HW-Aware Fine-Tuning of Spiking Q-Networks (TU Dresden Et Al.)
By Technical Paper Link - 05 Aug, 2025 - Comments: 0

A new technical paper titled "Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform" was published by researchers at TU Dresden, ScaDS.AI and Centre for Tactile Internet with Human-in-the-Loop (CeTI). Excerpt "Spiking Neural Networks (SNNs) promise orders-of-magnitude lower power consumption and low-latency inference on neuromorphic hardware for a wide ran... » 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

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

Backpropagation Algorithm On Neuromorphic Spiking HW (U. Of Zurich, ETH Zurich, LANL)
By Technical Paper Link - 25 Nov, 2024 - Comments: 0

A new technical paper titled "The backpropagation algorithm implemented on spiking neuromorphic hardware" was published by University of Zurich, ETH Zurich, Los Alamos National Laboratory, Royal Institution, London, et al. "This study presents a neuromorphic, spiking backpropagation algorithm based on synfire-gated dynamical information coordination and processing implemented on Intel’s Lo... » read more

Dedicated 3D Accelerator Specifically Designed For Emerging Spiking Transformers
By Technical Paper Link - 13 Nov, 2024 - Comments: 0

A new technical paper titled "Spiking Transformer Hardware Accelerators in 3D Integration" was published by researchers at UC Santa Barbara, Georgia Tech and Burapha University. "Recognizing the current lack of dedicated hardware support for spiking transformers, this paper presents the first work on 3D spiking transformer hardware architecture and design methodology. We present an architect... » read more

Benefits Of The Ultra-Low Leakage Currents from IGZO TFTs For Neuromorphic Applications
By Technical Paper Link - 27 Aug, 2024 - Comments: 0

A new technical paper titled "A tunable multi-timescale Indium-Gallium-Zinc-Oxide thin-film transistor neuron towards hybrid solutions for spiking neuromorphic applications" was published by researchers at imec, CSIC Universidad de Sevilla, and Sungkyunkwan University. Abstract "Spiking neural network algorithms require fine-tuned neuromorphic hardware to increase their effectiveness. Such ... » read more

New Approaches Needed For Power Management
By Karen Heyman - 13 Jun, 2024 - Comments: 0

Power is becoming a bigger concern as the amount of data being processed continues to grow, forcing chipmakers and systems companies to rethink compute architectures from the end point all the way to the data center. There is no simple fix to this problem. More data is being collected, moved, and processed, requiring more power at every step, and more attention to physical effects such as he... » read more

Novel Neuromorphic Artificial Neural Network Circuit Architecture
By Technical Paper Link - 15 Jan, 2024 - Comments: 0

A technical paper titled “Mosaic: in-memory computing and routing for small-world spike-based neuromorphic systems” was published by researchers at CEA-LETI Université Grenoble Alpes, University of Zurich and ETH Zurich. Abstract: "The brain’s connectivity is locally dense and globally sparse, forming a small-world graph—a principle prevalent in the evolution of various species, sugg... » read more

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