AI for Time Series: Volume 1: Unlocking Patterns with Deep Learning
English | 2026 | ISBN: 104101033X | 396 pages | True EPUB | 11.39 MB
This book provides a thorough exploration of the latest innovations in AI for general time series analysis, distribution shift, and foundation models. It offers an in-depth look at cutting-edge techniques and methodologies, using advanced algorithms that are transforming time series analysis across industries. The authors highlight the use of AI models, particularly those based on deep learning, to study the sequence of data points collected at successive points in time.

AI and Wind Power 2: Advancing Sustainability, Grid Integration, and Future Frameworks (ISTE Invoiced)
English | 2026 | ISBN: 1836691424 | 329 pages | True PDF | 13.89 MB
As wind power scales from a complementary energy source to a cornerstone of global electricity systems, the challenge is no longer simply generating more clean energy - it is integrating, sustaining and governing the energy within an increasingly complex and interconnected grid.

AI and Wind Power 1: A Multifaceted Approach to Sustainable Energy (ISTE Invoiced)
English | 2026 | ISBN: 1836690614 | 454 pages | True EPUB | 6.79 MB
In the critical global transition to sustainable energy, the integration of artificial intelligence (AI) with wind power stands as a pivotal technological frontier.

AI and Third-Party Risk: Solutions for Assessing and Managing Your AI Vendors and Systems
English | 2026 | ASIN: B0G7D2RZNK | 189 pages | PDF | 5.07 MB
Artificial Intelligence is no longer a future concern-it's a present-day disruptor. As vendors and partners increasingly adopt AI-enabled products and services, third-party and supply-chain risk professionals face a new challenge: managing a rapidly evolving risk landscape with limited guidance. This book delivers the clarity and structure needed to navigate that complexity.

AI and Innovation in Human-Computer Interaction: Design Implementation and Trust-Building
English | 2026 | ISBN: 1041217412 | 133 pages | True PDF,EPUB | 3.81 MB
The convergence of artificial intelligence (AI) and human-computer interaction (HCI) has revolutionized our technological landscape. This book explores the ties between AI and HCI, tracing its historical evolution through to its use today. By examining the development of technology and the changing role of human users, the text provides a perspective that incorporates insights from Global South researchers thus offering an alternative to Western-centric viewpoints on this evolving field.

AI and Business: Mapping the Present for Harnessing the Future
English | 2026 | ISBN: 1837088896 | 305 pages | True PDF,EPUB | 21.19 MB
AI and Business: Mapping the Present for Harnessing the Future addresses the growing need for businesses to not only understand but effectively implement artificial intelligence (AI) as a core component of their operational strategies. AI has quickly evolved from an experimental technology to a transformative tool reshaping the business landscape. While many organisations recognise its potential, numerous others struggle to integrate AI into their existing frameworks and align it with their strategic goals. This contributed work offers a comprehensive, practical guide for businesses seeking to implement AI across various functions, including marketing, finance, operations, and human resources, while highlighting the critical steps to bridge the gap between technology and effective business use.

AI Without Anxiety: The Non-Technical Person's Guide to Using ChatGPT and AI Tools to Get Ahead at Work in 30 Days
by Drew Sumner
English | 2026 | ASIN: B0GMW5GHYZ | 83 Pages | PDF | 53 MB

AI UNLOCKED: A Simple Guide For Beginners
by KRISHNA HARSHITHA DUNTHALA
English | 2026 | ASIN: B0GMGZDG6F | 184 Pages | PDF | 33 MB

AI Systems Performance Engineering: Optimizing Model Training and Inference Workloads with GPUs, CUDA, and PyTorch by Chris Fregly
English | December 16th, 2025 | ISBN: 9798341627789 | 1060 pages | True EPUB | 17.12 MB
Elevate your AI system performance capabilities with this definitive guide to maximizing efficiency across every layer of your AI infrastructure. In today's era of ever-growing generative models, AI Systems Performance Engineering provides engineers, researchers, and developers with a hands-on set of actionable optimization strategies. Learn to co-optimize hardware, software, and algorithms to build resilient, scalable, and cost-effective AI systems that excel in both training and inference. Authored by Chris Fregly, a performance-focused engineering and product leader, this resource transforms complex AI systems into streamlined, high-impact AI solutions.

AI Powered Digital Twins A Guide for Humans, Engineers, and Enterprises
English | 2026 | ISBN: 1394362048 | 371 pages | True PDF,EPUB | 4.95 MB
Build secure, effective digital twins using proven engineering principles and AI foundations