The field of neuromorphic computing has gained significant attention in recent years, aiming to bridge the gap between the efficiency of biological neural networks and the performance of artificial intelligence systems. This paper introduces Mamba-Spike,
Qin, Jiahao, Liu, Feng
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NIDS-Mamba: Lightweight Network Intrusion Detection for IoT Sensor Networks via State Space Models. [PDF]
Sensors (Basel)Ding Z, Zheng J, Wu X.
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The faunal assemblage from the Early Iron Age site of Mamba I in the Thukela valley, Natal [PDF]
, 1994 Voigt, Elizabeth A., Peters, Joris
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PAT-Mamba: Adaptive all-in-one image restoration for photoacoustic tomography via state space model. [PDF]
PhotoacousticsChen Z, Feng T, Ta D.
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Falcon Mamba: The First Competitive Attention-free 7B Language Model
In this technical report, we present Falcon Mamba 7B, a new base large language model based on the novel Mamba architecture. Falcon Mamba 7B is trained on 5.8 trillion tokens with carefully selected data mixtures.
Hacid, Hakim +6 more
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Spectral-YOLOv13: A Dual-Domain Vision-Mamba Sensing Framework for Fine-Grained Coral Health Assessment and Continuous Ecological Forecasting. [PDF]
Sensors (Basel)Yang L +6 more
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Physiological classification of Parkinson's disease severity using multimodal speech biomarkers with a hybrid CNN-Mamba framework. [PDF]
Front PhysiolZeng T +7 more
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MambaOut: Do We Really Need Mamba for Vision?
Mamba, an architecture with RNN-like token mixer of state space model (SSM), was recently introduced to address the quadratic complexity of the attention mechanism and subsequently applied to vision tasks.
Wang, Xinchao, Yu, Weihao
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Bidirectional Mamba-2 boosts EEG super-resolution via regression and diffusion. [PDF]
BioinformaticsLomoio U, Lió P, Guzzi PH, Veltri P.
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Locating and Editing Factual Associations in Mamba
We investigate the mechanisms of factual recall in the Mamba state space model. Our work is inspired by previous findings in autoregressive transformer language models suggesting that their knowledge recall is localized to particular modules at specific ...
Atkinson, David +2 more
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