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Author: Abhinav Bhatele Publisher: Springer Nature ISBN: 3031320417 Category : Computers Languages : en Pages : 432
Book Description
This book constitutes the proceedings of the 38th International Conference on High Performance Computing, ISC High Performance 2023, which took place in Hamburg, Germany, in May 2023. The 21 papers presented in this volume were carefully reviewed and selected from 78 submissions. They were organized in topical sections as follows: Architecture, Networks, and Storage; HPC Algorithms & Applications; Machine Learning, AI, & Quantum Computing; Performance Modeling, Evaluation, & Analysis; and Programming Environments & Systems Software.
Author: Abhinav Bhatele Publisher: Springer Nature ISBN: 3031320417 Category : Computers Languages : en Pages : 432
Book Description
This book constitutes the proceedings of the 38th International Conference on High Performance Computing, ISC High Performance 2023, which took place in Hamburg, Germany, in May 2023. The 21 papers presented in this volume were carefully reviewed and selected from 78 submissions. They were organized in topical sections as follows: Architecture, Networks, and Storage; HPC Algorithms & Applications; Machine Learning, AI, & Quantum Computing; Performance Modeling, Evaluation, & Analysis; and Programming Environments & Systems Software.
Author: Carlos Lassala Publisher: Springer Nature ISBN: 3030940586 Category : Business & Economics Languages : en Pages : 187
Book Description
There is no doubt that the proliferation of entrepreneurial activity is a current trend. Start-ups enable an effective transformation of knowledge, generating high added value to society. The objective of this book is to address the financing of the entrepreneurial process as a necessary element to articulate a solid business fabric, based on taking advantage of new opportunities. The book is structured in two parts. The first part takes as a reference the lack of financing in the entrepreneurship process and analyses different sources of financing available to entrepreneurs depending on the phase in which the project is located. The second part of the book analyses innovation and its links to the financing of start-ups, addressing the impact of emerging technologies and fintech services and the support of artificial intelligence. Finally, the book concludes with an examination of decentralized finance (DeFi), as an idea that is changing the financial world, giving rise to new financial paradigms.
Author: Bradford L. Chamberlain Publisher: Springer Nature ISBN: 3030787133 Category : Computers Languages : en Pages : 485
Book Description
This book constitutes the refereed proceedings of the 36th International Conference on High Performance Computing, ISC High Performance 2021, held virtually in June/July 2021. The 24 full papers presented were carefully reviewed and selected from 74 submissions. The papers cover a broad range of topics such as architecture, networks, and storage; machine learning, AI, and emerging technologies; HPC algorithms and applications; performance modeling, evaluation, and analysis; and programming environments and systems software.
Author: Perry Xiao Publisher: John Wiley & Sons ISBN: 1119820960 Category : Computers Languages : en Pages : 724
Book Description
A hands-on roadmap to using Python for artificial intelligence programming In Practical Artificial Intelligence Programming with Python: From Zero to Hero, veteran educator and photophysicist Dr. Perry Xiao delivers a thorough introduction to one of the most exciting areas of computer science in modern history. The book demystifies artificial intelligence and teaches readers its fundamentals from scratch in simple and plain language and with illustrative code examples. Divided into three parts, the author explains artificial intelligence generally, machine learning, and deep learning. It tackles a wide variety of useful topics, from classification and regression in machine learning to generative adversarial networks. He also includes: Fulsome introductions to MATLAB, Python, AI, machine learning, and deep learning Expansive discussions on supervised and unsupervised machine learning, as well as semi-supervised learning Practical AI and Python “cheat sheet” quick references This hands-on AI programming guide is perfect for anyone with a basic knowledge of programming—including familiarity with variables, arrays, loops, if-else statements, and file input and output—who seeks to understand foundational concepts in AI and AI development.
Author: Martin Musiol Publisher: John Wiley & Sons ISBN: 1394205945 Category : Business & Economics Languages : en Pages : 315
Book Description
An engaging and essential discussion of generative artificial intelligence In Generative AI: Navigating the Course to the Artificial General Intelligence Future, celebrated author Martin Musiol—founder and CEO of generativeAI.net and GenAI Lead for Europe at Infosys—delivers an incisive and one-of-a-kind discussion of the current capabilities, future potential, and inner workings of generative artificial intelligence. In the book, you'll explore the short but eventful history of generative artificial intelligence, what it's achieved so far, and how it's likely to evolve in the future. You'll also get a peek at how emerging technologies are converging to create exciting new possibilities in the GenAI space. Musiol analyzes complex and foundational topics in generative AI, breaking them down into straightforward and easy-to-understand pieces. You'll also find: Bold predictions about the future emergence of Artificial General Intelligence via the merging of current AI models Fascinating explorations of the ethical implications of AI, its potential downsides, and the possible rewards Insightful commentary on Autonomous AI Agents and how AI assistants will become integral to daily life in professional and private contexts Perfect for anyone interested in the intersection of ethics, technology, business, and society—and for entrepreneurs looking to take advantage of this tech revolution—Generative AI offers an intuitive, comprehensive discussion of this fascinating new technology.
Author: Andres Rodriguez Publisher: Springer Nature ISBN: 3031017692 Category : Technology & Engineering Languages : en Pages : 245
Book Description
This book describes deep learning systems: the algorithms, compilers, and processor components to efficiently train and deploy deep learning models for commercial applications. The exponential growth in computational power is slowing at a time when the amount of compute consumed by state-of-the-art deep learning (DL) workloads is rapidly growing. Model size, serving latency, and power constraints are a significant challenge in the deployment of DL models for many applications. Therefore, it is imperative to codesign algorithms, compilers, and hardware to accelerate advances in this field with holistic system-level and algorithm solutions that improve performance, power, and efficiency. Advancing DL systems generally involves three types of engineers: (1) data scientists that utilize and develop DL algorithms in partnership with domain experts, such as medical, economic, or climate scientists; (2) hardware designers that develop specialized hardware to accelerate the components in the DL models; and (3) performance and compiler engineers that optimize software to run more efficiently on a given hardware. Hardware engineers should be aware of the characteristics and components of production and academic models likely to be adopted by industry to guide design decisions impacting future hardware. Data scientists should be aware of deployment platform constraints when designing models. Performance engineers should support optimizations across diverse models, libraries, and hardware targets. The purpose of this book is to provide a solid understanding of (1) the design, training, and applications of DL algorithms in industry; (2) the compiler techniques to map deep learning code to hardware targets; and (3) the critical hardware features that accelerate DL systems. This book aims to facilitate co-innovation for the advancement of DL systems. It is written for engineers working in one or more of these areas who seek to understand the entire system stack in order to better collaborate with engineers working in other parts of the system stack. The book details advancements and adoption of DL models in industry, explains the training and deployment process, describes the essential hardware architectural features needed for today's and future models, and details advances in DL compilers to efficiently execute algorithms across various hardware targets. Unique in this book is the holistic exposition of the entire DL system stack, the emphasis on commercial applications, and the practical techniques to design models and accelerate their performance. The author is fortunate to work with hardware, software, data scientist, and research teams across many high-technology companies with hyperscale data centers. These companies employ many of the examples and methods provided throughout the book.
Author: IT Shades Publisher: EGBG Services LLC ISBN: Category : Computers Languages : en Pages : 61
Book Description
This document brings together a set of latest data points and publicly available information relevant for Consulting & IT Services Industry. We are very excited to share this content and believe that readers will benefit from this periodic publication immensely.
Author: John H. Lau Publisher: Springer Nature ISBN: 9811999171 Category : Technology & Engineering Languages : en Pages : 542
Book Description
The book focuses on the design, materials, process, fabrication, and reliability of chiplet design and heterogeneous integraton packaging. Both principles and engineering practice have been addressed, with more weight placed on engineering practice. This is achieved by providing in-depth study on a number of major topics such as chip partitioning, chip splitting, multiple system and heterogeneous integration with TSV-interposers, multiple system and heterogeneous integration with TSV-less interposers, chiplets lateral communication, system-in-package, fan-out wafer/panel-level packaging, and various Cu-Cu hybrid bonding. The book can benefit researchers, engineers, and graduate students in fields of electrical engineering, mechanical engineering, materials sciences, and industry engineering, etc.
Author: John Paul Mueller Publisher: John Wiley & Sons ISBN: 1119796784 Category : Computers Languages : en Pages : 368
Book Description
Forget far-away dreams of the future. Artificial intelligence is here now! Every time you use a smart device or some sort of slick technology—be it a smartwatch, smart speaker, security alarm, or even customer service chat box—you’re engaging with artificial intelligence (AI). If you’re curious about how AI is developed—or question whether AI is real—Artificial Intelligence For Dummies holds the answers you’re looking for. Starting with a basic definition of AI and explanations of data use, algorithms, special hardware, and more, this reference simplifies this complex topic for anyone who wants to understand what operates the devices we can’t live without. This book will help you: Separate the reality of artificial intelligence from the hype Know what artificial intelligence can accomplish and what its limits are Understand how AI speeds up data gathering and analysis to help you make informed decisions more quickly See how AI is being used in hardware applications like drones, robots, and vehicles Know where AI could be used in space, medicine, and communication fields sooner than you think Almost 80 percent of the devices you interact with every day depend on some sort of AI. And although you don’t need to understand AI to operate your smart speaker or interact with a bot, you’ll feel a little smarter—dare we say more intelligent—when you know what’s going on behind the scenes. So don’t wait. Pick up this popular guide to unlock the secrets of AI today!
Author: Abhinav Bhatele
Author: Abhinav Bhatele
Author: Carlos Lassala
Author: Bradford L. Chamberlain
Author: Perry Xiao
Author: Jesus Carretero
Author: Martin Musiol
Author: Andres Rodriguez
Author: IT Shades
Author: John H. Lau
Author: John Paul Mueller