As generative artificial intelligence (AI) rapidly transforms legal practice, the profession faces opportunities and challenges in adopting these technologies. GenAI for Legal Practice provides a comprehensive and accessible guide to integrating generative AI tools into Australian legal practice, offering both theoretical foundations and practical applications. The book introduces an AI

This open book provides a comprehensive and technically grounded exploration of Artificial Intelligence (AI) and Machine Learning (ML) within the context of modern librarianship and information science. Authored by Martin Frické, it moves beyond theoretical discussion to focus on practical applications and the underlying architecture of contemporary AI systems. The text methodically cov

IBM Synthetic Data Sets is a family of artificially generated, enterprise-grade datasets that enhance predictive artificial intelligence (AI) model training and large language models (LLMs) to benefit IBM Z and IBM LinuxONE clients, ecosystems, and independent software vendors. These pre-built datasets are downloadable and packaged as comma-separated values (CSVs) and data definition lan

Even as spending on digital transformation continues to skyrocket, mainframes nevertheless have major advantages for global enterprises. These systems still process huge amounts of information and allow for highly secure transactions. In this practical book, author Tom Taulli shows software developers how to pursue a hybrid approach by integrating traditional mainframes and applications

Are your data systems slowing down your AI initiatives? The potential of AI to revolutionize business is undeniable, but many organizations struggle to bridge the gap between ambitious ideas and real-world results. The cause? Traditional data architectures remain too rigid and siloed to support today's dynamic, data-intensive demands. If you're a data leader searching for a solution, com

With the big data boom, the rise of the Internet of Things (IoT), and the development of artificial intelligence (AI) applications, we've entered a new era of smart data. Unfortunately, not many enterprises are ready for it. Some companies are deficient in data management, while others lack standard data engineering systems. Some simply lag behind in data science. The bottom line is that

Learn how to accelerate C++ programs using data parallelism. This open book enables C++ programmers to be at the forefront of this exciting and important new development that is helping to push computing to new levels. It is full of practical advice, detailed explanations, and code examples to illustrate key topics. Data parallelism in C++ enables access to parallel resources in a modern

Beginning and experienced programmers will use this comprehensive guide to persistent memory programming. You will understand how persistent memory brings together several new software/hardware requirements, and offers great promise for better performance and faster application startup times - a huge leap forward in byte-addressable capacity compared with current DRAM offerings. This rev

Invent Your Own Computer Games with Python teaches you how to program in the Python language. Each chapter gives you the complete source code for a new game, and then teaches the programming concepts from the examples. Games include Guess the Number, Hangman, Tic Tac Toe, and Reversi. This book also has an introduction to making games with 2D graphics using the Pygame framework. Programm

Deep learning has transformed the fields of computer vision, image processing, and natural language applications. Thanks to TensorFlow.js, now JavaScript developers can build deep learning apps without relying on Python or R. Deep Learning with JavaScript shows developers how they can bring DL technology to the web. Written by the main authors of the TensorFlow library, this new book pro