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5 books on AI Hardware [PDF]
October 24, 2024 | 21 |
These books tell about development, design, optimization, and implementation of AI hardware (GPUs, TPUs, FPGAs, NNPs).
1. Artificial Intelligence and Hardware Accelerators
2023 by Ashutosh Mishra, Jaekwang Cha, Hyunbin Park, Shiho Kim
In a world where artificial intelligence reigns supreme, hardware accelerators are the new superheroes of computation and this book gives you a backstage pass to the action. With a delightful blend of intricate AI algorithms, hardware design magic and computational wizardry, the authors lead you through a labyrinth of technical wonder, demystifying the processes behind making your devices smarter and faster. Whether it's teaching your phone to think or helping autonomous vehicles dodge traffic, this book offers a comprehensive guide to all things hardware accelerators, like a GPS for your AI journey (but way cooler).
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2. Customizable and Adaptive Quantum Processors: Theory and Applications
2023 by Nadia Nedjah, Luiza De Macedo Mourelle
Step into the quantum wonderland, where bits aren't just bits and reality gets a bit weird—but in a good way. This book takes the mind-boggling concepts of q-bits, entanglement and collapsed states and explains them in a way that won't make your brain collapse. With quantum processors serving as the next frontier of computing, the authors hand you the keys to this cutting-edge technology, blending theory with just enough practicality to make you feel like you're building Schrödinger’s cat a quantum playground (and maybe solving some problems while you're at it).
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3. Artificial Intelligence Technology
2022 by Huawei Technologies Co
Ever wondered what the future feels like? Well, you're holding it in your hands—if you're holding this book, that is. 'Artificial Intelligence Technology' is your friendly guide to the latest developments in AI, skipping the boring bits and getting straight to the fascinating parts. With clear explanations and real-world examples, this book walks you through machine learning, deep learning and the inner workings of AI frameworks like Huawei's MindSpore. It's a bit like a user manual for the future, except it also gives you a peek into how AI is shaping smart terminals, cloud platforms and everything else that runs on algorithms.
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4. AI Computing Systems: An Application Driven Perspective
2022 by Yunji Chen, Ling Li, Wei Li, Qi Guo, Zidong Du, Zichen Xu
Imagine diving into AI computing with the same curiosity you'd bring to unraveling the mysteries of an alien language—except this time, the aliens are image style transfers and the universe is a full-stack AI computing system. This book takes you on a wild ride through the layers of intelligent computing, from hardware chips to the coding environment, all through the lens of real-world applications. It's a masterclass in connecting the dots between software and hardware, giving you the tools to tame the complexity of AI systems. Consider it the Swiss Army knife of AI textbooks—practical, multifaceted and essential for survival in the AI jungle.
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5. Artificial Intelligence Hardware Design: Challenges and Solutions
2021 by Albert Chun-Chen Liu, Oscar Ming Kin Law
Buckle up for a journey into the deep neural depths of AI hardware design, where circuits meet synapses and processing units gain superpowers. This book isn't just about nuts, bolts and blueprints—it's about the very DNA of next-gen computing systems. From the pioneering designs of Neurocube and Tetris accelerators to the memory architecture breakthroughs of embedded eDRAM, it’s an all-access pass to the hardware that fuels our digital dreams. The authors also dive headfirst into parallel processing architectures, leaving no stone—or silicon chip—unturned in their quest to maximize AI performance. It's the definitive guide to making AI hardware not just functional, but formidable.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
1. Artificial Intelligence and Hardware Accelerators
2023 by Ashutosh Mishra, Jaekwang Cha, Hyunbin Park, Shiho Kim
In a world where artificial intelligence reigns supreme, hardware accelerators are the new superheroes of computation and this book gives you a backstage pass to the action. With a delightful blend of intricate AI algorithms, hardware design magic and computational wizardry, the authors lead you through a labyrinth of technical wonder, demystifying the processes behind making your devices smarter and faster. Whether it's teaching your phone to think or helping autonomous vehicles dodge traffic, this book offers a comprehensive guide to all things hardware accelerators, like a GPS for your AI journey (but way cooler).
Download PDF
2. Customizable and Adaptive Quantum Processors: Theory and Applications
2023 by Nadia Nedjah, Luiza De Macedo Mourelle
Step into the quantum wonderland, where bits aren't just bits and reality gets a bit weird—but in a good way. This book takes the mind-boggling concepts of q-bits, entanglement and collapsed states and explains them in a way that won't make your brain collapse. With quantum processors serving as the next frontier of computing, the authors hand you the keys to this cutting-edge technology, blending theory with just enough practicality to make you feel like you're building Schrödinger’s cat a quantum playground (and maybe solving some problems while you're at it).
Download PDF
3. Artificial Intelligence Technology
2022 by Huawei Technologies Co
Ever wondered what the future feels like? Well, you're holding it in your hands—if you're holding this book, that is. 'Artificial Intelligence Technology' is your friendly guide to the latest developments in AI, skipping the boring bits and getting straight to the fascinating parts. With clear explanations and real-world examples, this book walks you through machine learning, deep learning and the inner workings of AI frameworks like Huawei's MindSpore. It's a bit like a user manual for the future, except it also gives you a peek into how AI is shaping smart terminals, cloud platforms and everything else that runs on algorithms.
Download PDF
4. AI Computing Systems: An Application Driven Perspective
2022 by Yunji Chen, Ling Li, Wei Li, Qi Guo, Zidong Du, Zichen Xu
Imagine diving into AI computing with the same curiosity you'd bring to unraveling the mysteries of an alien language—except this time, the aliens are image style transfers and the universe is a full-stack AI computing system. This book takes you on a wild ride through the layers of intelligent computing, from hardware chips to the coding environment, all through the lens of real-world applications. It's a masterclass in connecting the dots between software and hardware, giving you the tools to tame the complexity of AI systems. Consider it the Swiss Army knife of AI textbooks—practical, multifaceted and essential for survival in the AI jungle.
Download PDF
5. Artificial Intelligence Hardware Design: Challenges and Solutions
2021 by Albert Chun-Chen Liu, Oscar Ming Kin Law
Buckle up for a journey into the deep neural depths of AI hardware design, where circuits meet synapses and processing units gain superpowers. This book isn't just about nuts, bolts and blueprints—it's about the very DNA of next-gen computing systems. From the pioneering designs of Neurocube and Tetris accelerators to the memory architecture breakthroughs of embedded eDRAM, it’s an all-access pass to the hardware that fuels our digital dreams. The authors also dive headfirst into parallel processing architectures, leaving no stone—or silicon chip—unturned in their quest to maximize AI performance. It's the definitive guide to making AI hardware not just functional, but formidable.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
