This is a story about how something I learned on a routine plane journey changed my understanding of how we should use artificial intelligence (AI) in the workplace -- why we should use it to support human decision making. Humans need help to make good choices. We respond to context and to our own unconscious bias as much as to data. Presenting people with facts often isn't enough; they need something called "choice architecture" to help to nudge them toward the logical next step. Here is an example from my own experience of choice depending on context.

The Introduction gives an overview of artificial intelligence and its use in marketing, explains key terms, and sets the scene for following chapters. Here, we will bring you up to speed on what you need to know moving forward, whether you're new to the topic or an experienced digital marketer. How Does Marketing Software Use AI? This chapter provides an overview of how currently available AI systems can be deployed by purchasing commercial solutions. We look at what types of products are available and what they can do for your business.

George Dyson was born in 1953 and had a unique opportunity to witness firsthand the conjunction of mathematics and physics that brought the digital revolution to life. He has been observing the relationship between nature and technology ever since. Dyson's latest book, Turing's Cathedral: The Origins of the Digital Universe, illuminates the transition from numbers that mean things to numbers that do things in the aftermath of World War II. I am very happy I had the opportunity to have him appear on Singularity 1 on 1 where we talked for over an hour. During our discussion with Dyson we cover a very wide variety of topics such as: his unique childhood of growing up as the son of theoretical physicist Freeman Dyson; playing around the Institute for Advanced Studies in Princeton; having Helen Dukas i.e. Einstein's secretary as a babysitter; his interest in boats and boat-building as inspired by reading Kon-Tiki; George's previous book titled Darwin Among The Machines; Samuel Butler and Ted Kaczynski; Turing's Cathedral and the origins of our digital universe; Alan Turing and John von Neumann; the hydrogen bomb and what von Neumann called "the deal with the devil"; technology's power to liberate and/or enslave; artificial intelligence, the technological singularity and our chances of surviving it.

Latest Books on revolutionary changes in the field of artificial intelligence (AI) and data science, that will empower you by increasing your knowledge drastically. To ease your curiosity, and keep you up-to-date with the ideas, concepts and practicality of these subjects, I bring to you the 11 best technical reads in AI as well as data science that will help you stay ahead in these technology areas. These books are a work of non-fiction. The list is presented in no particular order. This is one of the most recent additions to the must read books in AI.

Sexism has long been recognised as a problem in Silicon Valley. But a lengthy memo written by a Google software engineer, and leaked online, has laid bare the ugly underbelly of how some in this male-dominated world think about women. The "manifesto" (which at the time of writing remains anonymous) uses scientific evidence in an attempt to explain that women are, on average, biologically different from men, in ways that make them less likely to work in the same jobs. "Women generally have a stronger interest in people rather than things," the software engineer writes. A portion of his argument is indeed based on published science. In particular, there is a school of neuroscience that tries to popularise the notion that male and female brains are distinct.

The MIT (Massachusetts Institute of Technology: MIT) is one of the most internationally-renowned academic ecosystems in terms of research, technology and the future. With these credentials, it is not strange that OpenMind has selected it as the perfect setting to ponder: What's the next step? Exponential life, a life marked by the progress of so-called exponential technologies is not science fiction, nor a possible exclusively future scenario because technologies are already among us that transform our lives in very different ways. In this article we have chosen 5 examples, explained by the authors of our latest book, to show why we can say that exponential technologies are already here. Image of the event held at MIT.

In 2016, we saw a wide range of breakthroughs having to do with artificial intelligence and deep learning in particular. Google, Facebook, and Baidu announced several breakthroughs using deep learning. Deep learning is one specific class of machine learning algorithms. It has a long history, taking its roots in the earlier days of computer science. However, not all of machine learning is deep learning.

Piero Scaruffi is a cognitive scientist who has lectured in three continents and published several books on Artificial Intelligence and Cognitive Science, the latest one being "Thinking about Thought" (2014). He pioneered Internet applications in the early 1980s and the use of the World-Wide Web for cultural purposes in the mid 1990s. His poetry has been awarded several national prizes in Italy and the USA. His latest book of poems and meditations is "Synthesis" (2009). As a music historian, he has published ten books, the latest ones being "A History of Rock and Dance Music" (2009) and "A History of Jazz Music" (2007).

A world where you can download your personality on to a computer to create your own avatar may sound like something from a science fiction novel. But according to Dr Michio Kaku, this'immortal world' could soon be a reality. He claims that soon we will be able to go to speak to loved even after they die, by keeping them alive through virtual reality. Dr Kaku was born in California on 24 January 1947. He led a distinguished academic career, attending Harvard University and the University of California, Berkely – where he received his PhD in 1972.

The Internet and smartphone are just the latest in a 250 year long cycle of disruption that has continuously changed the way we live, the way we work and the way we interact. The coming Augmented Age, however, promises a level of disruption, behavioral shifts and changes that are unparalleled. While consumers today are camping outside of an Apple store waiting to be one of the first to score a new Apple Watch or iPhone, the next generation of wearables will be able to predict if we're likely to have a heart attack and recommend a course of action. We watch news of Google's self-driving cars, but don't likely realize this means progressive cities will have to ban human drives in the next decade because us humans are too risky. Following on from the Industrial or Machine Age, the Space Age and the Digital Age, the Augmented Age will be based on four key disruptive themes - Artificial Intelligence, Experience Design, Smart Infrastructure, and HealthTech.