NVIDIA: The Neural Frontier - Robotics, Edge AI, and the Future of Intelligent Machines (eBook, ePUB)
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"NVIDIA: The Neural Frontier Robotics, Edge AI, and the Future of Intelligent Machines" Volume 3 explores the cutting edge of next-generation computing and autonomous systems. From the latest advances in GPU-accelerated robotics to power-efficient edge-AI deployments, Dr. Krishna guides you through the design, deployment, and operation of intelligent machines that learn and adapt in the real world.Inside, you'll discover:* Foundational principles of neural computing, spiking networks, and neuromorphic hardware* Strategies for low-latency, energy-aware inference on resource-constrained devices*...
"NVIDIA: The Neural Frontier Robotics, Edge AI, and the Future of Intelligent Machines" Volume 3 explores the cutting edge of next-generation computing and autonomous systems. From the latest advances in GPU-accelerated robotics to power-efficient edge-AI deployments, Dr. Krishna guides you through the design, deployment, and operation of intelligent machines that learn and adapt in the real world.
Inside, you'll discover:
* Foundational principles of neural computing, spiking networks, and neuromorphic hardware
* Strategies for low-latency, energy-aware inference on resource-constrained devices
* Architecture patterns for federated learning, digital twins, and AI-driven operations
* Real-world case studies in smart cities, precision manufacturing, and remote healthcare
* Forward-looking insights on brainmachine interfaces, quantum sensing, and sustainable edge ecosystems
Whether you're an engineer building autonomous robots, a researcher tackling real-world AI challenges, or a decision-maker steering your organization toward the Neural Frontier, this volume delivers practical guidance, hands-on patterns, and visionary perspectives to shape the future of intelligent machines.
Inside, you'll discover:
* Foundational principles of neural computing, spiking networks, and neuromorphic hardware
* Strategies for low-latency, energy-aware inference on resource-constrained devices
* Architecture patterns for federated learning, digital twins, and AI-driven operations
* Real-world case studies in smart cities, precision manufacturing, and remote healthcare
* Forward-looking insights on brainmachine interfaces, quantum sensing, and sustainable edge ecosystems
Whether you're an engineer building autonomous robots, a researcher tackling real-world AI challenges, or a decision-maker steering your organization toward the Neural Frontier, this volume delivers practical guidance, hands-on patterns, and visionary perspectives to shape the future of intelligent machines.
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