Learn Neuromorphic AI Through 15 Projects: From GPUs to Brain-Inspired Chips for Autonomous Intelligence - Couverture souple

Varnoq, Orrinex

Couverture souple

ISBN 13 : 9798269256856

Editeur : Independently published, 2025

Synopsis

🧠 Build Smarter Neuromorphic AI Systems in Less Time + Practical Projects + Step-by-Step Configurations (See Chapter 5) 🧠🚫 Struggling to move from GPU-centric models to real-time, brain-inspired intelligence?

⚠️ If you’ve been wrestling with scattered papers, confusing SNN code, and fragile hardware integrations, you’re not alone.

✅ The good news is that GPU-to-SNN transitions and on-chip deployments don’t have to be complicated. With the right guide, you can build efficient systems that sense events, make decisions, and act with low latency and low power.

➡️ That’s why I wrote “Learn Neuromorphic AI Through Projects” — your practical companion to mastering spiking neural networks, event-driven sensing, and deployment on real hardware. This is more than a technical manual—it’s your roadmap to energy-aware autonomy.

🔧 Here’s why this book is a game-changer:

⏱️ Step-by-Step Tutorials – From clear fundamentals to advanced builds, each chapter accelerates your progress.

✔️ Reliable Integrations – Convert ANNs to SNNs, stream DVS camera events, and deploy on Loihi, SpiNNaker, and FPGAs with confidence.

⚡ Real-Time Efficiency – Profile accuracy, latency, and energy, then tune encoders, thresholds, and buffers for measurable wins.

🧩 Hands-On Examples – Runnable code, fixed seeds, reproducible logs, and ready-to-use configs for lab and field.

🛡️ Safety & Robustness – Noise-tolerant pipelines, failover patterns, and fault handling for real-world reliability.

🚀 Future-Proof Your Skills – Hybrid GPU+SNN co-processing, edge deployment, and autonomous robotics applications.

📘 WITH 2 EXCLUSIVE BONUSES:

🧠 Spike Encoding & Training Cheat Sheet – Rate, temporal, and population codes plus STDP and surrogate gradients with best-practice settings.

📊 Reproducible Benchmark Kit – Scripts for power tracing and latency logging, plus Pareto templates for accuracy–energy trade-offs.

🚀 These are the projects and skills you’ll master inside:

🔌 GPU baselines and power tracing you can trust

👁️ Event-camera vision with DVS and N-MNIST

🎧 Spike-based auditory classifiers for temporal patterns

🤖 Closed-loop motor control in simulation

🧪 STDP on GPU with probes and stability checks

🔀 ANN→SNN translation and tuning for accuracy

🧱 Spiking conv layers and pooling for vision tasks

🧩 On-chip learning on Loihi and device profiling

🗺️ SpiNNaker partitioning and multicore routing

🛰️ Autonomous drone controller with sensor fusion

🕸️ Multi-agent neuromorphic swarms and consensus

🔗 Hybrid GPU+SNN co-processing on the edge

❌ Don’t waste another day stitching together fragile demos and inconsistent results.

✅ Take control of your neuromorphic journey and build real systems that are fast, efficient, and dependable.

🔥 So, what are you waiting for? 🔥

✅ Click Buy Now and Start Building Brain-Inspired Systems Today! ✅

Détails de l'édition

• Éditeur: Independently published
• Date d'édition: 2025
• Langue: anglais
• ISBN 13: 9798269256856
• Reliure: Broché
• Nombre de pages: 274
• Coordonnées du fabricant: Manufactured by Amazon on behalf of the author; https://www.amazon.fr/hz/contact-us; ; c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy; Luxembourg; L-1855; Luxembourg