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) …
Will the advent of A.I. allow us to embark upon a complete overhaul of traditional labor structures? This is a question that comes up less frequently than others and one that has an answer that is wholly dependent on whether or not we'd like to take an optimistic or pessimistic view. In another way to phrase it -- A.I. can be seen as the harbinger of an age where humankind can, for the most part, finally unshackle themselves from the toils of labor. Conversely, it can also be regarded -- and is often regarded in this way -- as an enormous threat to employment, set to disrupt almost every industry and cause massive scale job loss. Assuming an optimistic perspective, it's certainly an exciting proposition, one that would have to be supplemented with some measure of a universal basic income for everyone or some completely innovative way by which resources can be accumulated by members of society.
Many young professionals, who have started their journey into data science, and machine learning, face a common problem -- they have completed one or two basic online course, done some programming lessons, put up a couple of projects on Github, and then… then what? Where to find focused resources? In one of my previous articles on Medium (published by the TDS Team), I discussed, at length, where you can find MOOC (Massive Open Online Course) for jump-starting your journey into data science and machine learning. That article assumed the reader to be a beginner and covers essential MOOCs, which are optimized for basic and intermediate learning. How to choose effective MOOCs for machine learning and data science?
LinkedIn is the premier place for enterprise technology professionals to gather, connect with one another, share ideas, and network. If you are a business person who works in the machine learning or artificial intelligence field, or you're just looking for additional insights into what the smartest in the industry are talking about, LinkedIn professional groups are a great place to start. As a result, we've compiled a list of the top 10 forums to join to discover new insights, best practices and learn which software tools the experts are using in their daily operations. This is a community for artificial intelligence, machine learning and analytics experts. The group brings together business communities across industry, enterprises, academic, and government sectors representing all of those with interests in artificial intelligence and machine learning techniques, technologies and applications.
In 2018, the 28 companies actively testing on public roads in California operated 467 vehicles and covered 2,036,296 miles in autonomous mode with 143,720 disengagements occurring. That's according to data from the California DMV published by website The Last License Holder which also offers an interesting insight into the number of disengagements experienced by the different companies. As the following infographic shows, Google's Waymo is way out ahead of the pack when it comes to flawless autonomy. The company's cars covered an impressive 1.27 million miles in 2018 but more impressively still, the test fleet drove 11,154 miles per disengagement.
Traders follow a simple motto: buy low and sell high. But when the opposite happens, the stock market goes berserk. On a fine morning in 2012, the NYSE had to step in and cancel numerous trades due to erroneous trading by Knight Capital which saw the biggest drop ever since it went public. Instead of at least attempting to provide liquidity via limit trades, Knight's algorithm acted as a market order. Naturally, when the entire logic of trading was perverted courtesy of Knight's busted algorithm, everything went chaos, and stocks went higher because they went higher, and the higher they went, the greater the incentive for the algorithm to keep pushing the stock higher.
San Francisco (CNN Business)A new artificial intelligence system is so good at composing text that the researchers behind it said they won't release it for fear of how it could be misused. Created by nonprofit AI research company OpenAI (whose backers include Tesla CEO Elon Musk and Microsoft), the text-generating system can write page-long responses to prompts, mimicking everything from fantasy prose to fake celebrity news stories and homework assignments. It builds on an earlier text-generating system the company released last year. Researchers have used AI to generate text for decades with varying levels of success. In recent years, the technology has gotten particularly good.
Most executives know that artificial intelligence (AI) has the power to change almost everything about the way they do business--and could contribute up to $15.7 trillion to the global economy by 2030. But what many business leaders don't know is how to deploy AI, not just in a pilot here or there, but throughout the organization, where it can create maximum value. The "how" is the sticking point with any emerging technology, and AI is no exception. How do you define your AI strategy? How do you find AI-literate workers or train existing staff?