9Natree

Rise of the Machines: A Cybernetic History (Thomas Rid)

- Buy on Amazon Books:
https://www.amazon.com/dp/0393354954?tag=9natree-20

- Sponsor and Support us:
https://9natree.com/page/sponsor-and-support.html

- Interesting Topics:
- Cybernetics Began as a Theory of Feedback, Prediction, and Control
- Technological Myths Turned Uncertain Futures into Apparent Certainties
- Human Machine Integration Was a Military Project Before It Became a Cultural Ideal
- California Counterculture Recast Cybernetics as Networked Personal Liberation
- Cyberspace Joined Libertarian Freedom Claims to Security and War Planning

- Read more: https://english.9natree.com/read/0393354954/


Thomas Rid’s Rise of the Machines: A Cybernetic History is a work of intellectual, technological, and political history about the changing meanings of cybernetics. Rather than treating cybernetics as a narrow technical precursor to modern computing, Rid follows it from Norbert Wiener’s wartime work on prediction and control through its migration into military research, countercultural communities, computer culture, and debates about freedom and security. The book’s purpose is explanatory as well as corrective: it shows that many contemporary uses of cyber language inherit older ideas about feedback, communication, intelligent machines, and human control. Rid is especially concerned with the gap between what technologies could demonstrably do and what advocates claimed they soon would do. This gap produced durable myths, including visions of machine intelligence, seamless human machine fusion, virtual worlds, and liberated networks. Combining scientific history with cultural and strategic analysis, the book explains why cybernetics mattered not simply because it generated devices, but because it supplied an influential vocabulary for imagining the future.

Possible Minds: Twenty-Five Ways of Looking at AI (John Brockman)

- Buy on Amazon Books:
https://www.amazon.com/dp/B07MQX54TW?tag=9natree-20

- Sponsor and Support us:
https://9natree.com/page/sponsor-and-support.html

- Interesting Topics:
- A plural map of AI replaces a single prediction
- Norbert Wiener frames AI as a problem of human responsibility
- Opaque learning systems expose the gap between accuracy and understanding
- Boom and bust history tempers claims about the deep learning era
- Automation concentrates power before any superintelligence arrives

- Read more: https://english.9natree.com/read/B07MQX54TW/


Possible Minds: Twenty-Five Ways of Looking at AI is a 2019 anthology edited by John Brockman, founder of the Edge online salon. Rather than offering a single theory of artificial intelligence, it gathers twenty-five short essays by scientists, philosophers, technologists, and researchers with markedly different assumptions about what AI is becoming. The collection uses Norbert Wiener and his early cybernetic warnings as a point of departure, asking how systems that learn and make decisions may alter human agency, institutions, work, knowledge, and survival. Contributors include figures such as Judea Pearl, Daniel Dennett, Alison Gopnik, Steven Pinker, Max Tegmark, George Dyson, and Rodney Brooks. Its genre is public-facing intellectual nonfiction: conceptually demanding but largely nontechnical. The purpose is not to forecast one settled AI future. It is to expose the disagreements concealed by broad claims about intelligent machines, while connecting current advances in machine learning to older debates about control, explanation, autonomy, and human values.

Mastering PyTorch (Ashish Ranjan Jha)

- Buy on Amazon Books:
https://www.amazon.com/dp/B0BJ62TKC6?tag=9natree-20

- Sponsor and Support us:
https://9natree.com/page/sponsor-and-support.html

- Interesting Topics:
- A progression from core PyTorch models to varied neural architectures
- Transformer and Hugging Face workflows for language and vision tasks
- Generative modeling and deep reinforcement learning beyond supervised prediction
- Efficient training through hardware scaling and structured experimentation
- From explainability and deployment to mobile inference

- Read more: https://english.9natree.com/read/B0BJ62TKC6/


Mastering PyTorch is a technical guide to advanced deep learning development with PyTorch 2.x. Written by machine learning engineer Ashish Ranjan Jha and published by Packt as a second edition in 2024, it is aimed at readers who already understand Python and the fundamentals of deep learning. Its purpose is not merely to introduce tensor operations or basic neural-network training. Instead, it follows the broader lifecycle of modern AI work: choosing an architecture, training it efficiently, applying it across modalities, interpreting its behavior, and moving it toward deployment. The coverage spans computer vision, natural language processing, generative modeling, reinforcement learning, graph learning, recommender systems, and transformer-based language and vision models. It also situates core PyTorch within a practical ecosystem that includes fastai, PyTorch Lightning, Hugging Face, Captum, and deployment tools. The result is a wide-ranging practitioner reference for building increasingly sophisticated models while keeping engineering concerns such as scaling, inference, and mobile delivery in view.

AI Entrepreneur’s Handbook (Kartikeya Malhotra)

- Buy on Amazon Books:
https://www.amazon.com/dp/B0CZTTZ45Q?tag=9natree-20

- Sponsor and Support us:
https://9natree.com/page/sponsor-and-support.html

- Interesting Topics:
- Using ChatGPT to Turn Broad Interests into Testable Business Opportunities
- Prompting as an Operational Skill Rather Than a One-Time Content Trick
- Building Brand-Consistent Marketing with Contextual AI Instructions
- Applying Generative AI Across Business Processes Beyond Promotion
- Balancing AI-Enabled Revenue Ambition with Sustainable and Responsible Practice

- Read more: https://english.9natree.com/read/B0CZTTZ45Q/


AI Entrepreneur’s Handbook is a practical business guide by Kartikeya Malhotra, published in 2024, for readers interested in using ChatGPT and generative artificial intelligence in entrepreneurial work. Rather than treating AI as a separate technical specialty, the book frames it as an operating tool for finding opportunities, developing offers, creating marketing material, and improving routine business processes. Its stated scope runs from early-stage idea generation through go-to-market activity and growth, with particular attention to prompt-based interaction with ChatGPT. The book also includes more than 150 prompts intended to help readers apply its ideas directly. Malhotra addresses aspiring founders, students, existing small-business owners, and people exploring AI-enabled income opportunities. A central premise is that generative AI can reduce the time and expertise required for many knowledge-work tasks, but it must be directed with business context and used responsibly. The handbook is therefore best understood as an accessible, action-oriented introduction to AI-assisted entrepreneurship rather than a comprehensive substitute for market research, finance, or product strategy.

Anti-fragile ICT Systems (Kjell Jørgen Hole)

- Buy on Amazon Books:
https://www.amazon.com/dp/3319300687?tag=9natree-20

- Sponsor and Support us:
https://9natree.com/page/sponsor-and-support.html

- Interesting Topics:
- Complex adaptive systems challenge prediction-based risk management
- Anti-fragility means containing failure and learning from it
- Cloud architecture is examined through availability and safe fallback
- Malware resilience focuses on propagation and reinfection dynamics
- Online anomaly detection supports adaptation under changing conditions

- Read more: https://english.9natree.com/read/3319300687/


Anti-fragile ICT Systems is a concise technical monograph by Kjell Jørgen Hole, published in the Simula SpringerBriefs on Computing series. It addresses the design and operation of large information and communication technology systems whose behavior cannot be fully understood through conventional prediction-based risk analysis. Hole treats both technical infrastructure and the people and organizations around it as complex adaptive systems, where local failures can interact and escalate into broad disruptions. The central purpose is not merely to make systems resistant to known faults, but to limit the consequences of incidents and use limited failures as evidence for improvement. The book combines a conceptual framework with applications involving availability, cloud systems, malware propagation, reinfection, and anomaly detection. Case discussions include Netflix, telecommunications infrastructure, e-government, and Numenta software. Its genre is applied computer-systems and security analysis rather than a general business treatment of antifragility. The emphasis falls on engineering principles, operational learning, and the practical difficulty of preventing rare but damaging system-wide behavior.

Virtual Reality Technology (Peter A. Maxwell)

- Buy on Amazon Books:
https://www.amazon.com/dp/B0CDZTVWY5?tag=9natree-20

- Sponsor and Support us:
https://9natree.com/page/sponsor-and-support.html

- Interesting Topics:
- Immersive Technology Is Presented as an Interface Design Challenge
- Gaming Demonstrates the Distinctive Value of Presence and Active Participation
- Education Uses Virtual Environments for Visualization, Exploration, and Practice
- Healthcare Applications Depend on Safe, Repeatable Simulation and Usable Design
- VR and AR Are Framed as Cross-Industry Tools Rather Than Isolated Consumer Devices

- Read more: https://english.9natree.com/read/B0CDZTVWY5/


Virtual Reality Technology: The future of Gaming, Education, Healthcare is an introductory technology guide by Peter A. Maxwell, published in the Technology 101 series. Available listing information presents the book as a practical overview of virtual reality and augmented reality, with particular attention to design principles, user experience, interaction design, and industry applications. Its stated scope extends beyond entertainment to education, healthcare, retail, manufacturing, architecture, and travel. Rather than treating immersive technology only as a hardware trend, the book appears to frame it as a way of creating digital environments and interfaces that people can understand, navigate, and use effectively. The title foregrounds gaming, education, and healthcare, three fields where immersion can support play, visualization, simulation, and practice. Because detailed chapter-level material is not publicly available, the book is best understood through these verified high-level themes. It is aimed at readers seeking a broad foundation in how VR and AR work as user-facing technologies and why their design choices matter across practical settings.

The Midjourney Prompt Book (Shaheed Ullah)

- Buy on Amazon Books:
https://www.amazon.com/dp/B0BZ9YHBCY?tag=9natree-20

- Sponsor and Support us:
https://9natree.com/page/sponsor-and-support.html

- Interesting Topics:
- Prompt writing as the bridge between an idea and a generated image
- Version 4 and Version 5 as contexts for prompt behavior and image quality
- Commands, parameters, and upscalers as controls beyond descriptive text
- Copyable examples and generated images as a hands-on learning method
- Applications from AI artwork to t-shirt design and niche visual concepts

- Read more: https://english.9natree.com/read/B0BZ9YHBCY/


The Midjourney Prompt Book: Transforming Words into Stunning Visuals with Midjourney by Shaheed Ullah is a practical guide to text-to-image creation with Midjourney, centered on the platform versions current around its publication, especially Version 5 and Version 4. It belongs to the rapidly developing category of AI-art manuals rather than to conventional art theory or software history. Its stated purpose is to help readers turn an idea expressed in words into a more deliberate visual result through prompt construction, platform commands, parameters, and image refinement tools. The book addresses both newcomers who need an orientation to Midjourney workflows and more experienced users seeking reusable prompt structures and advanced controls. Available descriptions emphasize step-by-step instruction, example prompts, generated images, and applications including artistic imagery and t-shirt design. Because Midjourney has changed substantially over time, the book is best understood as a guide to enduring prompting principles alongside the Version 4 and Version 5 interface and feature context in which it was written.

Computer Simulation of Liquids (Michael P. Allen)

- Buy on Amazon Books:
https://www.amazon.com/dp/0198803206?tag=9natree-20

- Sponsor and Support us:
https://9natree.com/page/sponsor-and-support.html

- Interesting Topics:
- Statistical mechanics links particle models to observable liquid properties
- Molecular dynamics makes time evolution and transport accessible
- Monte Carlo sampling separates equilibrium sampling from real dynamics
- Long-range interactions and parallel algorithms expose the limits of naive simulations
- Data analysis determines whether a simulation result is statistically credible

- Read more: https://english.9natree.com/read/0198803206/


Computer Simulation of Liquids is a graduate-level scientific text by Michael P. Allen and Dominic J. Tildesley, presented here in its substantially updated second edition. It explains how molecular simulation converts statistical-mechanical models of interacting particles into numerical experiments. Its central methods are molecular dynamics, which generates trajectories from equations of motion, and Monte Carlo sampling, which constructs representative equilibrium configurations through stochastic moves. Rather than treating software as a black box, the book connects physical assumptions, algorithms, implementation choices, and the interpretation of measured properties. The emphasis is on liquids and other condensed systems whose collective structure and motion are difficult to derive analytically, including model fluids, polymers, colloids, liquid crystals, membranes, and glasses. Coverage extends from statistical mechanics and interaction models to long-range forces, parallel computation, and data analysis. Accompanying Fortran and Python examples reinforce its practical orientation. The result is both an introduction to established simulation principles and a careful guide to producing results that can be compared meaningfully with theory and experiment.

The Big Book of Simulation Modeling (Andrei Borshchev)

- Buy on Amazon Books:
https://www.amazon.com/dp/B00YO0K1ZQ?tag=9natree-20

- Sponsor and Support us:
https://9natree.com/page/sponsor-and-support.html

- Interesting Topics:
- Three simulation paradigms are treated as complementary modeling choices
- Multimethod models connect operational detail with system-level behavior
- Step-by-step construction makes modeling decisions visible and testable
- Time, randomness, and experiments turn a static representation into a simulation
- Presentation and animation support communication but do not replace validation

- Read more: https://english.9natree.com/read/B00YO0K1ZQ/


The Big Book of Simulation Modeling: Multimethod Modeling with AnyLogic 6 is a technical, example-driven guide to constructing executable models of real systems with AnyLogic. Written by Andrei Borshchev, a co-founder of the AnyLogic Company, it is positioned as a practical modeling text rather than a purely mathematical introduction to simulation theory. Its central subject is multimethod simulation: the use of agent-based modeling, system dynamics, and discrete-event simulation, separately or in combination, to investigate a system through risk-free dynamic experiments. The book emphasizes the modeling constructs available in AnyLogic and uses many step-by-step examples of varying difficulty to connect software operations with modeling decisions. Its purpose is not merely to teach users where tools are located in an interface. It aims to help them decide what level of representation is appropriate, how time and uncertainty affect a model, and when a hybrid approach can capture interactions that one paradigm alone would miss.

An Introduction to Agent-Based Modeling (Uri Wilensky)

- Buy on Amazon Books:
https://www.amazon.com/dp/0262731894?tag=9natree-20

- Sponsor and Support us:
https://9natree.com/page/sponsor-and-support.html

- Interesting Topics:
- Emergence Connects Individual Rules to System-Level Patterns
- NetLogo Makes Computational Experiments Accessible and Inspectable
- Model Building Proceeds from Simple Rules to Structured Design Choices
- Exploration and Analysis Turn Simulations into Evidence-Producing Experiments
- Verification, Validation, and Replication Define Responsible Agent-Based Research

- Read more: https://english.9natree.com/read/0262731894/


An Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with NetLogo is a 2015 instructional text by Uri Wilensky and William Rand. It introduces agent-based modeling as a method for studying complex systems through computer experiments rather than relying only on equations or aggregate descriptions. The book uses NetLogo, the multi-agent programming environment created by Wilensky, to make models concrete and executable from the outset. Its central concern is emergence: how patterns at a large scale can arise from the interactions, decisions, and constraints of many relatively simple individual entities. Examples span natural, social, and engineered systems, reflecting the wide reach of the method. The text progresses from the rationale and definition of agent-based modeling to model construction, exploration, analysis, validation, replication, and advanced applications. With guided development, exercises, and associated code, it serves both as a conceptual introduction to complex systems and as a practical foundation for building, testing, and communicating computational models responsibly.