Computer Intelligence

Just months ago, millions of people were stunned by ChatGPT's amazing abilities–and its bizarre hallucinations. But that was 2022. GPT-4 is now here, with smarter, more accurate, and deeper technical knowledge. GPT-4 and its competitors and followers are on the verge of transforming medicine. But with lives on the line, you need to understand these technologies–stat.

Artificial intelligence is transforming lives and revolutionizing industries. This accessible guide to generative AI and machine learning is for tech enthusiasts and forward-thinkers alike—whether you're in IT or a professional from another field looking to stay ahead and curious about AI’s impact on the future, this book provides the essential insights you need to stay competitive and informed in the Age of AI.

Artificial Intelligence (AI) is causing massive changes in our lives, both at the individual and societal level, with the global AI market expected to reach around 126 billion US dollars by 2025. As more and more decision-making moves to AI systems, unique risks are being introduced. However, this topic can be quite challenging for newcomers who want to understand the governance and cyber-security risks that AI introduces. This book assumes zero prior knowledge of AI or machine learning and explains in an easy-to-understand way how to govern and secure AI.

In Not with a Bug, But with a Sticker: Attacks on Machine Learning Systems and What to Do About Them, a team of distinguished adversarial machine learning researchers deliver a riveting account of the most significant risk to currently deployed artificial intelligence systems: cybersecurity threats. The authors take you on a sweeping tour—from inside secretive government organizations to academic workshops at ski chalets to Google's cafeteria—recounting how major AI systems remain vulnerable to the exploits of bad actors of all stripes.

Are you overwhelmed by Artificial Intelligence and Natural Language Processing? Want to leverage the power of ChatGPT but don’t know where to start? You're not alone. Many beginners feel alienated by the jargon and technicalities. But what if mastering ChatGPT could be a simple, rewarding journey, achievable in just 7 days? This beginner-friendly guide is your ticket to conquering ChatGPT fears and harnessing AI's potential. Designed with simplicity, this book breaks down complex topics into easy-to-understand pieces, ensuring a smooth learning experience.

The beauty of ChatGPT is that it does the heavy lifting for you, giving you all the time to focus on your full-time job, while your personal AI employee works round the clock to deliver results. This is the new realm of opportunities, where earning money is less of a grind and more of having your very own AI assistants. The only question is… are you ready to step into this future? This is the tech revolution you’ve been waiting for — leave the headaches of traditional businesses behind and let AI transform how you earn money today.

From the simple to the intricate and the audacious to the absurd, Adam Kucharski reveals the long and tangled history between betting and science and explains why gambling continues to generate insights into luck and decision making today. Covering exploits and ideas from across the globe, he meets the teams behind hedge funds that capitalize on inaccurate sports betting odds and explains how PhD-level pundits are using methods originally developed for the US nuclear program to predict sports results.

Learn ChatGPT: The AI Solutions Method Book is for anyone who wishes to ride the wave of AI transformation, but struggles with navigating its complexities. From students to business owners, professionals and everyday individuals, the AI solutions presented in this book have the potential to transform every facet of your life.

Your organization has made the decision to adopt automation and artificial intelligence technologies. Now, you face difficult and stubborn questions about how to implement that decision: How, when, and where should we apply automation in our organization? Is it a stark choice between humans versus machines? How do we stay on top of these technological trends as work and automation continue to evolve? Work and human capital experts Ravin Jesuthasan and John Boudreau present leaders with a new set of tools to answer these daunting questions.

Grokking Artificial Intelligence Algorithms is a fully illustrated and interactive tutorial guide to the different approaches and algorithms that underpin AI. Written in simple language and with lots of visual references and hands-on examples, you'll learn the concepts, terminology, and theory you need to effectively incorporate AI algorithms into your applications. And to make sure you truly grok as you go, you'll use each algorithm in practice with creative coding exercises.

Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning.

Decision intelligence (DI) has been widely named as a top technology trend for several years, and Gartner reports that more than a third of large organizations are adopting it. Some even say that DI is the next step in the evolution of AI. Many software vendors offer DI solutions today, as they help organizations implement their evidence-based or data-driven decision strategies. But until now, there has been little practical guidance for organizations to formalize decision making and integrate their decisions with data. With this book, authors L. Y. Pratt and N. E. Malcolm fill this gap.

Did you know that ChatGPT already boasts a community of over 100 million users? That's 100 million opportunities to make a splash in a still-young market. So, if you're tired of sitting on the sidelines, watching others take the prize, this guide is your game-changer, your treasure map, and your ticket to the big leagues — all powered by ChatGPT.

The dynamic changes detailed in this book unveil how godlike machines with the capability of crossing over species and extradimensional barriers put in place by God will soon be ushered in. As a result, vast numbers of believers could be paralyzed by the staggering supernatural implications. But is there a way for citizens to be prepared for what is coming?

En un presente en el que vivimos rodeadxs de dispositivos inteligentes que intervienen cada vez más en todos los ámbitos de nuestra vida, Naief Yehya plantea un ensayo donde reflexiona sobre la inteligencia artificial, sus alcances, su influencia y hasta su marca en los procesos creativos y de la industria.

If you aren’t using AI daily for your product marketing, you’re falling behind. The old ways of product marketing like manually choosing target customers are obsolete. AI is going to crush everyone who doesn’t learn to work with it. It isn’t just about cute copywriting with ChatGPT.

This book is your key to leveraging ChatGPT effectively. Whether for career advancement, business enhancement, or personal growth, it provides actionable insights and strategies.

Spotting a face in a crowd is so easy, you take it for granted. But how you do it is one of science's great mysteries. And vision is involved with so much of everything your brain does. Explaining how it works reveals more than just how you see. In We Know It When We See It, Harvard neuroscientist Richard Masland tackles vital questions about how the brain processes information - how it perceives, learns, and remembers - through a careful study of the inner life of the eye.

AI for Defense and Intelligence is a timely and compelling listen for graduate students interested in this rapidly-growing field, mid-career professionals looking to rebrand, and senior leaders in federal agencies who want to get smart on the latest tech. This approachable and focused book provides an overview of AI basics, a review of powerful machine learning models, and a discussion of applications across natural language processing (NLP), computer vision (CV), optimization, agent-based modeling and more.

When she arrived at MIT in the 1990s, Alien wanted to study aerospace engineering, but she was soon drawn to the school’s venerable tradition of high-risk physical trespassing: the original “hacking”. Within a year, one of her hallmates was dead, two others were on trial, and two had been institutionalized. Alien’s adventures were only just beginning.