Contacto
Cómo comprar
Entrega
Guía de compras
Spiking Meets ANN
Inglés
89 b
Hasta 30 días para devoluciones
Clientes que también han comprado
/
Tapa blanda
14.99
€
/
Tapa blanda
16.09
€
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.
Through rigorous experimentation, this monograph explores the mathematical foundations, training methodologies, and performance benchmarks of the model, demonstrating its ability to generate coherent text while reducing computation through event-driven neural processing. Real-world applications span robotics, edge AI, low-power computing, and neuromorphic hardware-where energy efficiency is paramount.
With a vision toward next-generation AI, this work pioneers a new paradigm in language modeling, proving that spikes and transformers can work together to build more efficient, intelligent systems.
Sobre el libro
Inglés
Categorías
Regale este libro hoy
Es fácil
1 Añadir al carrito y elegir Entregar como regalo en el checkout 2 Le enviaremos un vale 3 El libro llegará a la dirección del destinatarioTambién puede interesarle
/
Tapa blanda
39.69
€
¡Hola! Soy Libroamiko, tu asesor de libros.
¿Cómo puedo ayudarte?