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) …
In our fourth installment of the Bytes Chat, we convened a panel of economists to discuss the newly released NBER study on the impact of robots on jobs and wages. Bytes contributors Rob Seamans, associate professor at New York University's Stern School of Business, Bret Swanson, president of Entropy Economics, and Hal Singer, senior fellow at George Washington University's Institute of Public Policy were joined by special guest Marshall Steinbaum, senior economist and fellow of the Roosevelt Institute. The conversation has been edited slightly for readability. First question is at the behest of our president. Are the robots coming over the border?
What meaningful careers exist in data science (stats/ML/optimization)? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world. What meaningful careers exist in data science (stats/ML/optimization)? This is a great question, coming from academia myself, I can relate to it. It really depends on what you personally find meaningful, and what your goals are. Would you be happiest doing cutting edge machine learning that impacts millions of people?
Revestor is a real estate search engine that lets users run investment calculations over live listings. The evident dominance of Airbnb and Zillow has transformed the way residential real estate is discovered, managed, and rented. More specifically, the swift rise of these digital platforms marks a paradigm shift, asserting that the top real estate enterprises of the future will be disruptive tech companies. Airbnb currently lists over 2.3 million homes, averaging more than 500,000 nightly stays across 65,000 cities. In 2016, the home-sharing giant snatched headlines after raising over $555 million from Google Capital and Technology Crossover Ventures, in pursuit of a reported $850 million round, raising the company's valuation to $30 billion.
Opinions expressed by Forbes Contributors are their own. The author is a Forbes contributor. The opinions expressed are those of the writer. The way that people work is evolving rapidly, disrupting industries, and reinventing organizations. Companies around the world are transforming the ways in which their workforces operate by leaning into a digital workspace model--taking a fresh approach to security while driving more meaningful workflows, simpler access, and increased productivity.
Silicon Valley, with its products, software, smarts, and change-the-world scale, has produced some of the most meaningful transformations of business and personal lives of the last two decades. The iPhone's success has allowed ideas to spread faster than ever before, and the unrelenting power of social media, from which literal revolutions have been successfully launched, is clearer today than ever before. A scroll through a list of today's most highly valued startups showcases businesses that have created and captured value at never-before-seen speeds. Many companies were built on the success and power of a mobile device, and its equivalents, that has just celebrated its 10th birthday. Speed, scale and a winner-take-most ideology are part of the beauty of Silicon Valley.
For all the potential political significance of Ford's Michigan-jobs announcement, the most important part of it over the long term might be the part of it that is actual news: The company is going to spend a previously undisclosed $200 million to put a new data center at its plant in Flat Rock, Mich., to boost Ford's digital capabilities for the mobility services and other computational needs which may define its future. Yes, Ford said it will spend $1 billion at its Michigan Assembly plant near Detroit and at a nearby engine plant to start producing an all-new Ranger midsize pickup truck and all-new Bronco SUV in 2020. This is the same plant for which Ford spent a federally guaranteed $550 million just a few years ago to convent to a factory that still assembles small cars -- at least for a while yet. The company had signaled its basic intentions in this regard even before Donald Trump began campaigning on the issue of Ford outsourcing its small-car production to Mexico. But political exigencies of the moment being what they are, there was every reason for Ford CEO Mark Fields to repackage this plan -- and for Trump to tout it -- as yet another example of the success of the new president's efforts to get major U.S. industrial companies to put "America First" in their production plans.
The global energy industry is facing disruption as it transitions from fossils to renewables (and occasionally back again). Its challenges include balancing growing demand in developing nations with the need for sustainability, and predicting the effect of extreme weather conditions on supply and demand. Against this backdrop, GE Power - whose turbines and generators supply 30 per cent of the world's electricity - has been working on applying Big Data, machine learning and Internet of Things (IoT) technology to build an "internet of power" to replace the linear, one-way traditional model of energy delivery. Ganesh Bell – first and current Chief Data Officer at GE Power, tells me "The biggest opportunity is that, if you think about it, the electricity industry is still following a one-hundred-year-old model which our founder, Edison, helped to proliferate. "It's the generation of electrons in one source which are then transmitted in a one-way linear model.
More and more companies are putting drones to work, including tech giants, manufacturers, utilities, and news organizations. With a broad range of practical applications and rapidly evolving technology, drones offer huge untapped potential, but not every market offers equal opportunities for growth. Here are seven facts and forecasts to know before investing. The demand for drones in the U.S. is projected to rise 10% annually to $4.4 billion in 2020, and the number of vehicles sold will more than double to 5.5 million. Drones sold to commercial and consumer users can cost less than $100 on the low end for toy drones to $10,000 or more on the high end for professional drones with sophisticated sensors and controls.
At the massive InterConnect conference this week, over 20,000 of Big Blue's fans packed Las Vegas's Mandalay Bay to hear about the company's transformative, three-pronged strategy. While IBM still maintains numerous other business lines ranging from mainframes to middleware, these three Big Bets are truly Vegas-worthy – yet as with most of the bets in Sin City, the odds may very well be against the vendor. IBM Chairman and CEO Ginni Rometty laid out IBM's strategy at a packed keynote. "The IBM Cloud is the platform for the next era of business," Rometty said, expressing the central theme of the keynote. The IBM Cloud combines the Cloud Foundry-based BlueMix Platform-as-a-Service environment with SoftLayer, IBM's public Infrastructure-as-a-Service Cloud.
This piece was coauthored with Megan Beck, Chief Insights Officer at OpenMatters. The robots are coming for our jobs--all of them. According to McKinsey, 45% of the activities we do for work are already automatable, and that's just with current technology. As our technological capabilities grow, the list of jobs "at risk" from artificial intelligence (AI) and machine learning is expanding rapidly from manual and less skilled roles, such as driver and personal assistant, to "knowledge worker" roles such as doctor, investor and consultant. Admittedly every job is composed of various tasks and responsibilities--some more automatable than others.