If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Artificial intelligence (AI) has emerged from relative dormancy to a worldwide renaissance--fueled by significant investments and arousing interest across nearly all sectors and industries. Amid this global ground swell of enthusiasm, a few voices are going against popular opinion, and are calling for a reboot. Robust.AI CEO Gary Marcus and NYU professor of computer science Ernest Davis, sound a warning bell for AI in their book Rebooting AI, released in September 2019. Gary Marcus is a modern-day polymath. He is a cognitive scientist, successful technology entrepreneur, prolific author, keynote speaker, professor emeritus at New York University (NYU), juggler, unicyclist and erstwhile guitarist who literally wrote the book on it with his bestseller Guitar Zero: The Science of Becoming Musical at Any Age.
Welcome back to Mind Over Money. Not just because it's the fastest place to get news and expert analysis, but more so because it is a knowledge portal to just about everything that interests me, all in one place, all easily accessible from my phone. In any given moment, I can be witnessing live posts and interactions from experts across a dozen of what I call "communities of knowledge," from science, politics, education and economics to nutrition, fitness, psychology, and entrepreneurship. On any given day, I can also find a dozen knowledge rabbit holes to run down. Therein lies some danger in being distracted.
AI is rapidly changing the way we live and do business, which leaves many business leaders feeling like they're struggling to keep pace with developments. As such, business leaders often ask me for tips on recommend reading – they want to know which books will help them understand the AI revolution, grasp its impact on our world and plan for an AI-driven future. What Is The Best Book On Artificial Intelligence (AI)? I read a lot about AI, for my consulting work, and more recently as research for my latest book'Artificial Intelligence in Practice' and, of course, because I find the subject absolutely fascinating. In fact, I'd say I've devoured pretty much every key AI book that's been published in the last decade.
I've been learning machine learning for the past two years now, these books have all been instrumental throughout. The Hundred-Page Machine Learning Book (buy) - https://bit.ly/100pagemlbook The Deep Learning Book (buy) - https://amzn.to/2YIsGok The Hundred-Page Machine Learning Book Review - https://youtu.be/btLxTTkSZuY Get email updates on my work - https://bit.ly/mrdbourkenewsletter
In Artificial Unintelligence: How Computers Misunderstand the World, Meredith Broussard adds to the growing literature exploring the limits of artificial intelligence (AI) and techno-solutionism, furthermore showing how its socially-constructed nature replicates existing structural inequalities. Calling for greater racial and gender diversity in tech, the book offers a timely, accessible and often entertaining account that sets the record straight on what current approaches to AI are and are not capable of delivering, writes Nikita Aggarwal. This post originally appeared on LSE Review of Books. If you would like to contribute to the series, please contact the managing editor of LSE Review of Books, Dr Rosemary Deller, at firstname.lastname@example.org. You don't need to speak Italian to know that something's not quite right.
Perplexed about which use cases and technologies would be relevant, what sorts of data to mine, how to budget for it, how to build skilled teams and where to find vendors? This book, which also addresses the dark side of AI, is a useful guide. The first question you need to consider is: what are the specific business drivers for your AI project? In a broader context, the likelihood is that you are driven by a desire to gain or sustain a competitive advantage or to enter into new areas of business, stave off competitors, etc. Those are important drivers, but if everyone is getting into AI then they could arguably be table stakes.
"In his new book Advances in Financial Machine Learning, noted financial scholar Marcos López de Prado strikes a well-aimed karate chop at the naive and often statistically overfit techniques that are so prevalent in the financial world today. He points out that not only are business-as-usual approaches largely impotent in today's high-tech finance, but in many cases they are actually prone to lose money. But López de Prado does more than just expose the mathematical and statistical sins of the finance world. Instead, he offers a technically sound roadmap for finance professionals to join the wave of machine learning. What is particularly refreshing is the author's empirical approach -- his focus is on real-world data analysis, not on purely theoretical methods that may look pretty on paper but which in many cases are largely ineffective in practice. The book is geared to finance professionals who are already familiar with statistical data analysis techniques, but it is well worth the effort for those who want to do real state-of-the-art work in the field."
Named one of the "Top Ten Technology Books of 2018" by Peter High, Forbes.com "Compared with the amount of ink spilled over the prospects of artificial general intelligence and all its accompanying fears--the singularity!--there's "…a readily understandable guide to artificial intelligence and the immensely consequential effects it could have on our economy, our society and our political system." -- Robert E. Rubin, former U.S. Treasury secretary and co-chair Emeritus, Council on Foreign Relations This 2018 book…on the timely topic of AI - tops my summer reading list. "This is a timely book, well written, and accessible putting forward their insights, and is well worth reading." Lawrence H. Summers, Charles W. Eliot Professor, former president, Harvard University; former secretary, US Treasury; and former chief economist, World Bank-- "AI may transform your life.
Get LIFE 3.0 Audiobook for free: https://www.alux.com/freebook Buy it on Amazon: https://amzn.to/2I4CCP0 Disclaimer: Signing up for Audible will result in financial compensation for Alux Inc which in turn helps the channel. Books we show in the video: 1. Life 3.0 by Max Tegmark; https://amzn.to/2I4CCP0 Which is the best book for Artificial Intelligence?
Researchers have created a new system that can flag spoilers in online reviews of books and TV shows. The system is based on artificial intelligence (AI) technology. "Spoilers are everywhere on the internet and are very common on social media. As internet users, we understand the pain of spoilers, and how they can ruin one's experience," said Ndapa Nakashole, a professor at the University of California San Diego in the US. Some movie review websites like IMDb allow users to manually flag their posts with tags that serve as'spoiler ahead' warning signs.