Artificial Intelligence Programming

Artificial intelligence has existed for decades, and it continues to improve. But the growth of AI technology has created many challenges. AI has taken jobs from humans. When asked a question, AI can generate false or biased answers, depending on the data the AI was trained on. AI can also assist in creating deepfakes, or images, videos, or audio that are fake. Explore the history of AI and what led to its current challenges.

People imagined artificial intelligence as far back as the early 1900s. In the 1940s, the first programmed computers were created. Over time, scientists created better computers modeled after the human brain. These days computers can create art or help students with their homework. What will they do in the coming years? Dive in to learn about the past, present, and future of AI.

Engineers and scientists have been developing AI since the 1950s, and it has come a long way since then! AI can now assist in everyday life, from self-driving cars to diagnosing illnesses and suggesting treatments. But how does it work? Explore the inner workings of AI, from machine learning and deep learning to artificial neural networks modeled after the human brain.

Imagine waking up every morning, knowing that your bank account kept growing during your sleep, thanks to the remarkable capabilities of AI. Picture having the freedom to pursue your dreams and passions, unburdened by the shackles of a conventional job. Can you feel the excitement building? In “Unlocking Passive Income with ChatGPT: Ethical AI-Driven Strategies for Wealth Generation” you will discover the potential of AI and how it can become your most powerful ally in the pursuit of wealth and personal fulfillment.

Algorithms of the Intelligent Web, Second Edition teaches you how to create machine learning applications that crunch and wrangle data collected from users, web applications, and website logs. In this totally revised edition, you'll look at intelligent algorithms that extract real value from data. Key machine learning concepts are explained with code examples in Python's scikit-learn. This book guides you through algorithms to capture, store, and structure data streams coming from the web.

Today, 91 percent of Python programmers are not quite prepared. This is what the IT companies say, according to a recent survey. Do you know why? The reason is that they have no notions of artificial intelligence. So, future programmers will no longer find work without having knowledge of this particular field that is constantly evolving.

Two of the biggest design problems in Artificial Intelligence are how to build robots that behave in line with human values and how to stop them ever going rogue. One under-explored solution to these alignment and control problems might be to examine how these are already addressed in the design of humans. Robot Souls looks at developments in AI and reviews the emergence of ideas of consciousness and the soul. It places our 'junk code' in this context and argues that it is time to foreground that code, and to use it to look again at how we are programming AI.

How we can get more joy from our machines by telling them what our hearts desire. In this informative, accessible, and very funny book, Michael L. Littman inspires listeners to learn how to tell machines what to do for us. Rather than give in to the fear that computers will steal our jobs, spy on us and control what we buy and whom we vote for, we can improve our relationship with them just by learning basic programming skills. Our devices will help us, Littman writes, if we can say what we want in a way they can understand.

Written for programmers, business leaders, and investors, Aligned gives over 20 sample products that coders and developers can build today to support K12 education and shows the listener why these products would have a positive impact. This not only gives products that companies can build right now, it also gives listeners reliable models of how the classroom works so they can envision additional products that will be truly impactful.

Artificial Intelligence isn't coming. A.I. is here now. This book explores A.I. from the inside out. From the early days of college bulletin boards (BBSes), and MOOS and MUDS to the ChatGPT of today that pumps out content to consume including entire books. This book is completely human-created. It may be the last of its kind on A.I. Learn the history, the present, and future of A.I. in an understandable way and how it will affect you.

In Voices from the Valley, the celebrated writers and Logic cofounders Moira Weigel and Ben Tarnoff take an unprecedented dive into the tech industry, conducting unfiltered, in-depth, anonymous interviews with tech workers at all levels, including a data scientist, a start-up founder, a cook who serves their lunch, and a PR wizard. In the process, Weigel and Tarnoff open the conversation about the tech industry at large, a conversation that has previously been dominated by the voices of CEOs.

In this book, we will be looking at how technology has progressed through the years to get a glimpse of the future. Here, you will learn how humans lived their lives in the past and how technology has influenced that way of life and transformed it into what it is today. We will also discuss certain turning points in human society that lead us to where we are now.