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) …
The global robotic process automation (RPA) market size is expected to reach USD 3.11 billion by 2025. The global market is estimated to expand at a CAGR of 31.1% between 2018 – 2025. Different organizations in different sectors are increasingly challenged by the growing market competition due to shift in technology and changing consumer preferences. All these challenges in today's professional life means one thing: constant movement. Which means today's organizations are required to comply with complex administrative procedures.
HONG KONG (Reuters Breakingviews) - Artificial intelligence doesn't hate you, prominent researcher Eliezer Yudkowsky wrote, "nor does it love you, but you are made of atoms which it can use for something else". This sets the scene for Tom Chivers' fascinating new book, which borrows its title from the quote, on why so-called superintelligence should be viewed as an existential threat potentially greater than nuclear weapons or climate change. The "strange, irascible and brilliant" Yudkowsky is a central figure throughout the book. His early musings on the potential and dangers of artificial intelligence during the mid- to late-2000s gave birth to the Rationalist movement, a loose community dedicated to AI safety. Chivers, a former science journalist with Buzzfeed and the Telegraph, offers a meticulously researched investigation into who the Rationalists are, and more importantly why they believe humanity is fast approaching an inflection point between "extinction and godhood".
Backers of artificial-intelligence startups are paying more attention to ethics and rooting out potential biases embedded in algorithms that power AI systems, a focus that is starting to affect the earliest stages of company development. Executives at venture-capital firms and tech accelerators have spurred three main improvements at startups: a code of ethics that guides the AI startup's operations, a tool that explains how an algorithm makes its decisions, and a set of best practices that includes consistent and open communication...
Python vs. R is a common debate among data scientists, as both languages are useful for data work and among the most frequently mentioned skills in job postings for data science positions. Each language offers different advantages and disadvantages for data science work, and should be chosen depending on the work you are doing. To help data scientists select the right language, Norm Matloff, a professor of computer science at the University of California Davis wrote a Github post aiming to shed some light on the debate. While this is subjective, Python greatly reduces the use of parentheses and braces when coding, making it more sleek, Matloff wrote in the post. While data scientists working with Python must learn a lot of material to get started, including NumPy, Pandas and matplotlib, matrix types and basic graphics are already built into base R, Matloff wrote.
In a rapidly changing world, the property management industry needs to keep up. With the widespread digitisation of products and services taking over almost every sector, estate agents, property professionals and landlords alike will need to stay on the pulse. PropTech has become one of the latest buzzwords on everyone's lips. Not only could property tech improve the property market, but it could completely transform it for the better. With this year's Future PropTech event coming up, we thought it was a good time to explain what PropTech is, and why as a landlord, you should embrace it.
We live in a world that is becoming more personalized every day. Consumers have come to expect experiences that are tailored for them -- especially when it comes to engaging with brands. When you open your Uber app, it now suggests your home address; online shopping is increasingly personalized, and, of course, so is advertising. You expect to see ads that reflect your interests and buying patterns and, in fact, are more likely to engage with those ads.We have artificial intelligence (AI) to thank for our increasingly personalized world. As the demand for personalization increases, so too does the buzz around AI. AI is a term that is becoming ubiquitous -- and potentially overused -- as an umbrella term relating to any action a machine takes based on a set of rules in order to mimic human intelligence.
According to the most recent DOMO report, over 2.5 quintillion bytes of data are created each day. That number is set to increase to about 1.7MB every second next year. The more advanced our technology becomes, the more data we collect. The world is choking on streams of invisible information. So, how do we deal with that?