Spiking Meets Ann A Hybrid Architecture For Energy- Efficient Multimodal Lang
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- 品牌: Eliva Press
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Spiking Meets Ann A Hybrid Architecture For Energy- Efficient Multimodal Lang
In This Groundbreaking Work, Mohamed Azharudeen M. Introduces A Novel Spiking Transformer Architecture That Fuses Spiking Neural Networks (snns) With Modern Transformer-based Language Models, Creating A Hybrid Ai Capable Of Multimodal Text Generation With Unprecedented Energy Efficiency. By Replacing Traditional Self-attention With A Spike-driven Recurrent Mechanism (spiking Rwkv) And Integrating Clip Embeddings For Vision-language Tasks, This Architecture Brings The Biological Efficiency Of Spiking Neurons To The Power Of Deep Learning.
- 品牌: Eliva Press
- 类别: 计算机与互联网
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语言: English
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作者: Mohamed Azharudeen M
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出版日期: 2025-10-09
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页数: 72
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出版社／标签: Eliva Press
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格式: Paperback
- Fruugo ID: 557323362-1125593295
- ISBN: 9789999322942
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