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) …
But while his peer scientists Yann LeCun and Geoffrey Hinton have signed on to Facebook and Google, respectively, Bengio, 53, has chosen to continue working from his small third-floor office on the hilltop campus of the University of Montreal. Shum, who is in charge of all of AI and research at Microsoft, has just finished a dress rehearsal for next week's Build developers conference, and he wants to show me demos. Shum has spent the past several years helping his boss, CEO Satya Nadella, make good on his promise to remake Microsoft around artificial intelligence. Bill Gates showed off a mapping technology in 1998, for example, but it never came to market; Google launched Maps in 2005.
When most people think about artificial intelligence, their minds turn to glorified fights to save the human race from rogue robots, a familiar story played out on Hollywood screens in decades gone by. While machine intelligence is still far from resembling human consciousness, an AI fight is playing out in real life, not between robots and humans, but rather among the businesses vying to lead an increasingly lucrative market. The origins of AI stretch back to 1950, when computer science pioneer Alan Turing published a paper speculating that machines could one day think like humans. Last year, research firm IDC valued the market at $8 billion, forecasting a rise to $47 billion in 2020. Between Turing's landmark paper 67 years ago and today's wild market valuations, most major AI developments have either fallen in the realms of research and academia or involved computers beating people at human games.
AI has forever changed digital advertising. As marketers, it already allows us to decide how to best engage potential customers and markets like never before. But there's room to grow. Deep learning tools are the next major area of AI-based research, and it will spark a wave of future innovation in every industry – bringing a new era of marketing which both advertisers and end-users will benefit from. Our interfaces have already adapted to fit a user's interests on a personal level, matching industry insights and behaviours with display advertising – or personalization.
In a rapidly changing world filled with too much information, Tom Lounibos, CEO of Soasta Inc., has a simple, down-to-earth, one-word solution for his customers looking to make a digital transformation: practice. A one-time college baseball star drafted by the major leagues, Lounibos admitted he often turns to sports metaphors when talking about business solutions. "If you're making the move to playing pro ball, it's the same game, but everything is just so much faster," he explained. "So how do you get there? You watch the films, you hit the batting cage ... in other words, you practice."
It was Amazon that drove America's warehouse operators into the robot business. Quiet Logistics, which ships apparel out of its Devens, Mass., warehouse, had been using robots made by a company called Kiva Systems. When Amazon bought Kiva in 2012, Quiet hired scientists. In 2015 it spun out a new company called Locus Robotics, which raised $8 million in venture capital. Last year, Locus unveiled its own warehouse robotics solution called the LocusBot--first using it for its own business, then selling them to companies that ship everything from housewares to auto parts.
Written by Joel Oliver, MyFirmsApp: The use of Artificial Intelligence (AI) to help run Accounting firms may sound like something that is straight out of a science fiction novel but now the likes of Amazon, Google and Microsoft are spearheading AI, the world of Accountants is likely to be the latest in a series of industries to be affected by its' rise. We're working on AI because we think more intelligent services will be much more useful for you to use." – Mark Zuckerberg According to a Deloitte report, the impact of cognitive technologies on organisations is expected to grow substantially within the next three to five years. Add to this the Google prediction that by 2029 robots will achieve human intelligence levels and that by 2025, 33 per cent of all occupations will be performed by robots and it soon becomes apparent that AI has already shifted into the mainstream. There is no doubt that disruptive technology is turning the Accountant's relationship with clients on its' head. Advances in mobile technology are shaking up traditional methods of communication and clients are engaging more with their smartphones and expecting fast service responses from their chosen advisers anytime, anywhere.
And pretty soon, they'll come for us. That seems to be the story today, whether from Hollywood or in breathless articles in popular tech magazines about artificial intelligence and nanotechnology. We've teamed up with Product Hunt to offer you the chance to win an all expense paid trip to TNW Conference 2017! In a world where machines can learn, once humans push the "on" button, there's no stopping our robot overlords, right? When machines become more intelligent, humans are freed to become more creative.
The landscape of data is ever-changing, meaning analysts need to evolve both their thinking and data collection methods to stay ahead of the curve. In many cases, data that might have been considered unique, uncommon or unattainably expensive just a few years ago is now widely used and often very affordable. It is the analysts who take advantage of these untapped data sources, while they remain untapped, who can reap the rewards by gaining a competitive advantage before the rest of their industry or peers catch on. This type of data is often referred to as alternative data, and with the ever-increasing levels of data available in the modern world comes the opportunity to gain unique insights, competitive industry advantage, and boosted profits. It is perhaps no surprise then to hear that the scramble to get hold of such data has been dubbed the new gold rush.
And pretty soon, they'll come for us. That seems to be the story today, whether from Hollywood or in breathless articles in popular tech magazines about artificial intelligence and nanotechnology. Gary Vaynerchuk was so impressed with TNW Conference 2016 he paused mid-talk to applaud us. In a world where machines can learn, once humans push the "on" button, there's no stopping our robot overlords, right? When machines become more intelligent, humans are freed to become more creative.
It's 7 am and you're comfortably sitting at your desk, checking your emails for the day and browsing around on your laptop. The sun outside is still dim, and your mind feels groggy. You go to Amazon and check out the most recent recommendations they've provided you with. With a sense of unease, you realize how spot on almost all of them are. You're an avid online shopper, so it actually makes sense.